Publications

2024

Ball, E. L., et al. (2024). Childhood intelligence and risk of depression in later-life: A longitudinal data-linkage study. SSM - Population Health. https://doi.org/10.1016/j.ssmph.2023.101560

Baranyi, G., et al. (2024). Life-course neighbourhood deprivation and brain structure in older adults: The Lothian Birth Cohort 1936. Molecular Psychiatry. https://doi.org/10.1038/s41380-024-02591-9

Corley, J., et al. (2024). Life-course pathways to exceptional longevity: Evidence from the Lothian Birth Cohort of 1921. The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences. https://doi.org/10.1093/gerona/glae166

Corley, J., et al. (2024). Gardening and cognitive ageing: Longitudinal findings from the Lothian Birth Cohort of 1921. Journal of Environmental Psychology. https://doi.org/10.1016/j.jenvp.2024.102361

de Vries, P. S., et al. (2024). A genetic association study of circulating coagulation Factor VIII and von Willebrand Factor levels. Blood Journal. https://doi.org/10.1182/blood.2023021452

Deary, I. J., et al. (2024). Inspection time and intelligence: A five-wave longitudinal study from age 70 to age 82 in the Lothian Birth Cohort 1936. Intelligence. https://doi.org/10.1016/j.intell.2024.101844

Hatton, A. A., et al. (2024). Genetic control of DNA methylation is largely shared across European and East Asian populations. Nature Communications. https://doi.org/10.1038/s41467-024-47005-0

Higbee, D. H., et al. (2024). Genome-wide association study of preserved ratio impaired spirometry (PRISm). European Respiratory Journal. https://doi.org/10.1183/13993003.00337-2023

Keaton, J. M., et al. (2024). Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits. Nature Genetics. https://doi.org/10.1038/s41588-024-01714-w

Mei, H., et al. (2024). Multi-omics and pathway analyses of genome-wide associations implicate regulation and immunity in verbal declarative memory performance. Alzheimer’s Research & Therapy. https://doi.org/10.1186/s13195-023-01376-6

Moodie, J. E., et al. (2024). General and specific patterns of cortical gene expression as spatial correlates of complex cognitive functioning. Human Brain Mapping. https://doi.org/10.1002/hbm.26641

Page, D., et al. (2024). Examining the neurostructural architecture of intelligence: The Lothian Birth Cohort 1936 study. Cortex. https://doi.org/10.1016/j.cortex.2024.06.007

Quidé, Y., et al. (2024). ENIGMA-Chronic Pain: A worldwide initiative to identify brain correlates of chronic pain. Pain. https://doi.org/10.1097/j.pain.0000000000003317

Smith, H. M., et al. (2024). Epigenetic scores of blood-based proteins as biomarkers of general cognitive function and brain health. Clinical Epigenetics. https://doi.org/10.1186/s13148-024-01661-7

Sterenborg, R. B. T. M., et al. (2024). Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications. Nature Communications. https://doi.org/10.1038/s41467-024-44701-9

Sweetman, J., et al. (2024). The relationship between anxiety, depression and cognitive functioning in older adults: An exploratory cross‐sectional analysis of Wave 1 Lothian Birth Cohort 1936 data. International Journal of Geriatric Psychiatry. https://doi.org/10.1002/gps.6151

2023

Aribisala, B. S., et al. (2023). Sleep Quality, Perivascular Spaces and Brain Health Markers in Ageing-A Longitudinal Study in the Lothian Birth Cohort 1936. Sleep Medicine. https://doi.org/10.1016/j.sleep.2023.03.016

Baranyi, G., et al. (2023). Neighbourhood Deprivation across Eight Decades and Late-Life Cognitive Function in the Lothian Birth Cohort 1936: A Life-Course Study. Age and Ageing. https://doi.org/10.1093/ageing/afad056

Baranyi, G., et al. (2023). Early life PM2.5 exposure, childhood cognitive ability and mortality between age 11 and 86: A record-linkage life-course study from Scotland. Environmental Research. https://doi.org/10.1016/j.envres.2023.117021

Bernabeu, E., et al. (2023). Refining Epigenetic Prediction of Chronological and Biological Age. Genome Medicine. https://doi.org/10.1186/s13073-023-01161-y

Chan, B. C. L., Luciano, M. & Lee, B. (2023). A Longitudinal Study of Physical Activity and Personality in the Wellbeing of Older Adults. Journal of Aging and Health. https://doi.org/10.1177/08982643231206222

Baranyi, G., et al. (2022). Life-Course Exposure to Air Pollution and Biological Ageing in the Lothian Birth Cohort 1936. Environment International. https://doi.org/10.1016/j.envint.2022.107501

Baranyi, G., et al. (2022). Association of Life-Course Neighborhood Deprivation With Frailty and Frailty Progression From Ages 70 to 82 Years in the Lothian Birth Cohort 1936. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwac134

Barnes, A., et al. (2022). Topological Relationships between Perivascular Spaces and Progression of White Matter Hyperintensities: A Pilot Study in a Sample of the Lothian Birth Cohort 1936. Frontiers in Neurology. https://doi.org/10.3389/fneur.2022.889884

Bernal, J., et al. (2022). Assessment of Perivascular Space Filtering Methods Using a Three-dimensional Computational Model. Magnetic Resonance Imaging. https://doi.org/10.1016/j.mri.2022.07.016

Brouwer, R. M., et al. (2022). Genetic Variants Associated with Longitudinal Changes in Brain Structure across the Lifespan. Nature Neuroscience. https://doi.org/10.1038/s41593-022-01042-4

Chamberlain, J. D., et al. (2022). Blood DNA Methylation Signatures of Lifestyle Exposures: Tobacco and Alcohol Consumption. Clinical Epigenetics. https://doi.org/10.1186/s13148-022-01376-7

Corley, J. (2022). Adherence to the MIND Diet Is Associated with 12-Year All-Cause Mortality in Older Adults. Public Health Nutrition. https://doi.org/10.1017/S1368980020002979

Conte, F. P., et al. (2022). Cognitive Change before Old Age (11 to 70) Predicts Cognitive Change during Old Age (70 to 82). Psychological Science. https://doi.org/10.1177/09567976221100264

Gadd, D.A., et al. (2022). Epigenetic Scores for the Circulating Proteome as Tools for Disease Prediction. ELIFE. https://doi.org/10.7554/eLife.71802

Higham, J., et al. (2022). Local CpG Density Affects the Trajectory and Variance of Age-associated DNA Methylation Changes. Genome Biology. https://doi.org/10.1186/s13059-022-02787-8

Huan, T., et al. (2022). Integrative Analysis of Clinical and Epigenetic Biomarkers of Mortality. Aging Cell. https://doi.org/10.1111/acel.13608

Iveson, M. H., Cox, S. R., & Deary, I. J. (2022). Intergenerational Social Mobility and Health in Later Life: Diagonal Reference Models Applied to the Lothian Birth Cohort 1936. The Journals of Gerontology: Series B. https://doi.org/10.1093/geronb/gbac107

Jochems, A. C. C., et al. (2022). Contribution of White Matter Hyperintensities to Ventricular Enlargement in Older Adults. NeuroImage: Clinical. https://doi.org/10.1016/j.nicl.2022.103019

Joseph, C. B., et al. (2022). Meta-GWAS Reveals Novel Genetic Variants Associated with Urinary Excretion of Uromodulin. Journal of the American Society of Nephrology. https://doi.org/10.1681/ASN.2021040491

Lahti, J., et al. (2022). Genome-Wide Meta-Analyses Reveal Novel Loci for Verbal Short-Term Memory and Learning. Molecular Psychiatry. https://doi.org/10.1038/s41380-022-01710-8

Lee, M., et al. (2022). Pulmonary Function and Blood DNA Methylation: A Multiancestry Epigenome-wide Association Meta-analysis. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.202108-1907OC

Lu, A. T., et al. (2022). DNA Methylation GrimAge Version 2. Aging. https://doi.org/10.18632/aging.204434

Luciano, M., et al. (2022). Mediterranean-Type Diet and Brain Structural Change from 73 to 79 Years in the Lothian Birth Cohort 1936. The Journal of Nutrition, Health & Aging. https://doi.org/10.1007/s12603-022-1760-5

McCartney, D. L., et al. (2022). Blood-Based Epigenome-Wide Analyses of Cognitive Abilities. Genome Biology. https://doi.org/10.1186/s13059-021-02596-5

Mishra, A., et al. (2022). Gene-Mapping Study of Extremes of Cerebral Small Vessel Disease Reveals TRIM47 as a Strong Candidate. Brain. https://doi.org/10.1093/brain/awab432

Mullin, D. S., Cockburn, A., Welstead, M., Luciano, M., Russ, T. C., & Muniz‐Terrera, G. (2022). Mechanisms of Motoric Cognitive Risk—Hypotheses Based on a Systematic Review and Meta‐analysis of Longitudinal Cohort Studies of Older Adults. Alzheimer's & Dementia. https://doi.org/10.1002/gps.5824

Okely, J. A., Overy, K., & Deary, I. J. (2022). Experience of Playing a Musical Instrument and Lifetime Change in General Cognitive Ability: Evidence from the Lothian Birth Cohort 1936. Psychological Science. https://doi.org/10.1177/09567976221092726

Robertson, N. A., et al. (2022). Longitudinal Dynamics of Clonal Hematopoiesis Identifies Gene-Specific Fitness Effects. Nature Medicine. https://doi.org/10.1038/s41591-022-01883-3

Shen, X., et al. (2022). DNA Methylome-Wide Association Study of Genetic Risk for Depression Implicates Antigen Processing and Immune Responses. Genome Medicine. https://doi.org/10.1186/s13073-022-01039-5

Sliz, E., et al. (2022). Circulating Metabolome and White Matter Hyperintensities in Women and Men. Circulation. https://doi.org/10.1161/CIRCULATIONAHA.121.056892

Stevenson, A. J., et al. (2022). A Comparison of Blood and Brain‐Derived Ageing and Inflammation‐Related DNA Methylation Signatures and their Association with Microglial Burdens. European Journal of Neuroscience. https://doi.org/10.1111/ejn.15661

Wielscher, M., et al. (2022). DNA Methylation Signature of Chronic Low-Grade Inflammation and Its Role in Cardio-Respiratory Diseases. Nature Communications. https://doi.org/10.1038/s41467-022-29792-6

2021

Altschul, D., Iveson, M., & Deary, I.J. (2021). Generational differences in loneliness and its psychological and sociodemographic predictors: an exploratory and confirmatory machine learning study. Psychological Medicine. https://doi.org/10.1017/S0033291719003933

Backhouse, E., et al. (2021). Early Life Predictors of Late Life Cerebral Small Vessel Disease in Four Prospective Cohort Studies. Brain. https://doi.org/10.1093/brain/awab331

Bressler, J., et al. (2021). Association of Low-Frequency and Rare Coding Variants with Information Processing Speed. Translational Psychiatry. https://doi.org/10.1038/s41398-021-01736-6

Buchanan, C. R., et al. (2021). Comparison of structural MRI brain measures between 1.5 and 3 T: Data from the Lothian Birth Cohort 1936. Human Brain Mapping. https://doi.org/10.1002/hbm.25473

Chung, J., et al. (2021). Rare Missense Functional Variants at COL4A1 and COL4A2 in Sporadic Intracerebral Hemorrhage. Neurology. https://doi.org/10.1212/WNL.0000000000012227

Conole, E. L. S., et al. (2021). DNA Methylation and Protein Markers of Chronic Inflammation and Their Associations With Brain and Cognitive Aging. Neurology. https://doi.org/10.1212/WNL.0000000000012997

Corley, J., & Deary. I. (2021). Dietary Patterns and Trajectories of Global and Domain-Specific Cognitive Decline in the Lothian Birth Cohort 1936. British Journal of Nutrition. https://doi.org/10.1017/S0007114520005139

Corley, J., et al. (2021). Home garden use during COVID-19: Associations with physical and mental wellbeing in older adults. Journal of Environmental Psychology. https://doi.org/10.1016/j.jenvp.2020.101545

Cox, S. R., et al. (2021). Three major dimensions of human brain cortical ageing in relation to cognitive decline across the eighth decade of life. Molecular Psychiatry. https://doi.org/10.1038/s41380-020-00975-1

Cuellar-Partida, G., et al. (2021). Genome-wide association study identifies 48 common genetic variants associated with handedness. Nature Human Behavior. https://doi.org/10.1038/s41562-020-00956-y

Deary, I. J., Cox, S. R., & Hill, W. D. (2021). Genetic variation, brain, and intelligence differences. Molecular Psychiatry. https://doi.org/10.1038/s41380-021-01027-y

Deary, I. J., Hill, W. D., & Gale, C. R. (2021). Intelligence, health and death. Nature Human Behavior. https://doi.org/10.1038/s41562-021-01078-9

Deary, I. J., & Sternberg, R.J. (2021). Ian Deary and Robert Sternberg answer five self-inflicted questions about human intelligence. Intelligence. https://doi.org/10.1016/j.intell.2021.101539

de las Fuentes, L., et al. (2021). Gene-Educational Attainment Interactions in a Multi-Ancestry Genome-Wide Meta-Analysis Identify Novel Blood Pressure Loci. Molecular Psychiatry. https://doi.org/10.1038/s41380-020-0719-3

Gadd, D. A., et al. (2021). Epigenetic predictors of lifestyle traits applied to the blood and brain. Brain Communications. https://doi.org/10.1093/braincomms/fcab082

Hamilton, O., et al. (2021). Associations between total MRI-visible small vessel disease burden and domain-specific cognitive abilities in a community-dwelling older-age cohort. Neurobiology of Aging. https://doi.org/10.1101/2021.02.02.21250986

Hamilton, O., et al. (2021). Cerebral small vessel disease burden and longitudinal cognitive decline from age 73 to 82: the Lothian Birth Cohort 1936. Translational Psychiatry. https://doi.org/10.1038/s41398-021-01495-4

Hillary, R. F., et al. (2021). An Epigenetic Predictor of Death Captures Multi-Modal Measures of Brain Health. Molecular Psychiatry. https://doi.org/10.1101/703504

Huguet, G., et al. (2021). Genome wide analysis of gene dosage in 24,092 individuals estimates that 10,000 genes modulate cognitive ability. Molecular Psychiatry. https://doi.org/10.1038/s41380-020-00985-z

Iveson, M. H., Taylor, A., Harris, S. E., Deary, I. J., & McIntosh, A. M. (2021). Apolipoprotein E e4 allele status and later-life depression in the Lothian Birth Cohort 1936. Psychological Medicine. https://doi.org/10.1017/S0033291721000623

Jia, T., et al. (2021). Epigenome-Wide Meta-Analysis of Blood DNA Methylation and Its Association with Subcortical Volumes: Findings from the ENIGMA Epigenetics Working Group. Molecular Psychiatry. https://doi.org/10.1101/460444

Juvinao-Quintero, D. L., et al. (2021). DNA methylation of blood cells is associated with prevalent type 2 diabetes in a meta-analysis of four European cohorts. Clinical Epigenetics. https://doi.org/10.1186/s13148-021-01027-3

Lam, M., et al. (2021). Identifying Nootropic Drug Targets via Large-Scale Cognitive GWAS and Transcriptomics. Neuropsychopharmacology. https://doi.org/10.1101/2020.02.06.934752

Madole, J. W., et al. (2021). Aging-Sensitive Networks Within the Human Structural Connectome Are Implicated in Late-Life Cognitive Declines. Biological Psychiatry. https://doi.org/10.1016/j.biopsych.2020.06.010

McCartney, D. L., et al. (2021). Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging. Genome Biology. https://doi.org/10.1186/s13059-021-02398-9

Min, J. L., et al. (2021). Genomic and Phenotypic Insights from an Atlas of Genetic Effects on DNA Methylation. Nature Genetics. https://doi.org/10.1038/s41588-021-00923-x

Murray, A. L., Vollmer, M., Deary, I., Terrera, G., & Booth, T. (2021). Assessing individual-level change in dementia research. Alzheimer’s Research & Therapy. https://doi.org/10.1186/s13195-021-00768-w

Nabais, M. F., et al. (2021). Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders. Genome Biology. https://doi.org/10.1186/s13059-021-02275-5

Okely, J. A., Deary, I. J., & Overy, K. (2021). The Edinburgh Lifetime Musical Experience Questionnaire (ELMEQ). PLoS ONE. https://doi.org/10.1371/journal.pone.0254176

Portilla-Fernández, E., et al. (2021). Meta-analysis of epigenome-wide association studies of carotid intima-media thickness. European Journal of Epidemiology. https://doi.org/10.1007/s10654-021-00759-z

Racine Maurice, S., et al. (2021). Childhood Socioeconomic Status Does Not Predict Late-Life Cognitive Decline in the 1936 Lothian Birth Cohort. Frontiers Psychology. https://doi.org/10.3389/fpsyg.2021.679044

Russ, T. C., et al. (2021). Life Course Air Pollution Exposure and Cognitive Decline: Modelled Historical Air Pollution Data and the Lothian Birth Cohort 1936. Journal of Alzheimer’s Disease. https://doi.org/10.3233/JAD-200910

Stevenson, A. J., et al. (2021). Creating and validating a DNA methylation-based proxy for interleukin-6. The Journals of Gerontology: Series A. https://doi.org/10.1093/gerona/glab046

Sun, D., et al. (2021). Multi-Ancestry Genome-Wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. HGG Advances. https://doi.org/10.1016/j.xhgg.2020.100013

Taylor, A. M., et al. (2021). Impact of COVID-19 lockdown on psychosocial factors, health, and lifestyle in Scottish octogenarians: The Lothian Birth Cohort 1936 study. PLoS ONE. https://doi.org/10.1371/journal.pone.0253153

Welstead, M., et al. (2021a). Predictors of Mild Cognitive Impairment Stability, Progression, or Reversion in the Lothian Birth Cohort 1936. Journal of Alzheimer's Disease. https://doi.org/10.3233/JAD-201282

Welstead, M., Luciano, M., Muniz-Terrera, G., Taylor, A. M., & Russ, T. C. (2021). Prevalence of Mild Cognitive Impairment in the Lothian Birth Cohort 1936. Alzheimer Disease & Associated Disorders. https://doi.org/10.1097/WAD.0000000000000433

Wheater, E., et al. (2021). Birth weight is associated with brain tissue volumes seven decades later but not with MRI markers of brain ageing. NeuroImage: Clinical. https://doi.org/10.1016/j.nicl.2021.102776

Yang, T., et al. (2021). Rare and Low-Frequency Exonic Variants and Gene-by-Smoking Interactions in Pulmonary Function. Scientific Reports. https://doi.org/10.1038/s41598-021-98120-7

Zhang, J., et al. (2021). Relationship between inferior frontal sulcal hyperintensities on brain MRI, ageing and cerebral small vessel disease. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2021.06.013

2020

Alonso, N., et al. (2020). Loss‐of‐function mutations in the ALPL gene presenting with adult onset osteoporosis and low serum concentrations of total alkaline phosphatase. Journal of Bone and Mineral Research. https://doi.org/10.1002/jbmr.3928

Altschul, D. M., Starr, J., & Deary, I. J. (2020). Blood pressure and cognitive function across the eighth decade: a prospective study of the Lothian Birth Cohort of 1936. BMJ Open. https://doi.org/10.1136/bmjopen-2019-033990

Altschul, D. M., & Deary, I. J. (2020). Playing analog games is associated with reduced declines in cognitive function: a 68 year longitudinal cohort study. The Journals of Gerontology: Series B. https://doi.org/10.1093/geronb/gbz149

Aribisala, B. S., et al. (2020). Sleep and brain morphological changes in the eighth decade of life. Sleep Medicine. https://doi.org/10.1016/j.sleep.2019.07.015

Armstrong, N. J., et al. (2020). Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities. Stroke. https://doi.org/10.1161/STROKEAHA.119.027544

Ballerini, L., et al. (2020). Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities: A study in the Lothian Birth Cohort 1936. Neuroimage Clinical. https://doi.org/10.1016/j.nicl.2019.102120

Ballerini, L., et al. (2020). Quantitative Measurements of Enlarged Perivascular Spaces in the Brain are Associated with Retinal Microvascular Parameters in Older Community-Dwelling Subjects. Cerebral Circulation—Cognition and Behavior. https://doi.org/10.1016/j.cccb.2020.100002

Beange, I., et al. (2020). Using a knowledge exchange event to assess study participants’ attitudes to research in a rapidly evolving research context. Wellcome Open Research. https://doi.org/10.12688/wellcomeopenres.15651.1

Beaudet, G., et al. (2020). Age-related changes of Peak width Skeletonized Mean Diffusivity (PSMD) across the adult life span: A multi-cohort study. Frontiers in Psychiatry. https://doi.org/10.3389/fpsyt.2020.00342

Biton, A., et al. (2020). Polygenic Architecture of Human Neuroanatomical Diversity. Cerebral Cortex. https://doi.org/10.1093/cercor/bhz241

Cadar, D., Robitaille, A., Pattie, A., Deary, I. J., & Muniz-Terrera, G. (2020). The long arm of childhood intelligence on terminal decline: Evidence from the Lothian Birth Cohort 1921. Psychology and Aging. https://doi.org/10.1037/pag0000477

Colicino, E., et al. (2020). Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals. Aging. https://doi.org/10.18632/aging.103408

Corley, J. (2020). Adherence to the MIND diet is associated with 12-year all-cause mortality in older adults. Public Health Nutrition. https://doi.org/10.1017/S1368980020002979

Corley, J., et al. (2020). Dietary patterns, cognitive function, and structural neuroimaging measures of brain aging. Experimental Gerontology. https://doi.org/10.1016/j.exger.2020.111117

Corley, J., & Deary, I. (2020). Dietary patterns and trajectories of global and domain-specific cognitive decline in the Lothian Birth Cohort 1936. British Journal of Nutrition. https://doi.org/10.1017/S0007114520005139

Erzurumluoglu, A. M., et al. (2020). Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry. https://doi.org/10.1038/s41380-018-0313-0

Fawcett, K. A., et al. (2020). Variants associated with HHIP expression have sex-differential effects on lung function. Wellcome Open Research. https://doi.org/10.12688/wellcomeopenres.15846.1

Fuentes, L. de las, et al. (2020). Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Molecular Psychiatry. https://doi.org/10.1038/s41380-020-0719-3

Gale, C., Ritchie, S. J., Starr, J. M., & Deary, I. J. (2020). Physical frailty and decline in general and specific cognitive abilities: the Lothian Birth Cohort 1936. Journal of Epidemiology and Community Health. https://doi.org/10.1136/jech-2019-213280

Graham, E. K., et al. (2020). Trajectories of Big Five Personality Traits: A Coordinated Analysis of 16 Longitudinal Samples. European Journal of Personality. https://doi.org/10.1002/per.2259

Graham, E. K., et al. (2020). Is Healthy Neuroticism Associated with Health Behaviors? A Coordinated Integrative Data Analysis. Collabra: Psychology. https://doi.org/10.1525/collabra.266

Grasby, K. L., et al. (2020). The genetic architecture of the human cerebral cortex. Science. https://doi.org/10.1126/science.aay6690

Harris, S. E., et al. (2020). Neurology-related protein biomarkers are associated with general fluid cognitive ability and brain volume in older age. Nature Communications. https://doi.org/10.1101/692459

Hillary, R. F., et al. (2020). Multi-method genome and epigenome wide studies of inflammatory protein levels in healthy older adults. Genome Medicine.

Hofer, E., et al. (2020). Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults. Nature Communications. https://doi.org/10.1038/s41467-020-18367-y

Li, S., et al. (2020). Exploratory analysis of age and sex dependent DNA methylation patterns on the X-chromosome in whole blood samples. Genome Medicine. https://doi.org/10.1186/s13073-020-00736-3

Lund, J. B, et al. (2020). Weighted gene co-regulation network analysis (WGCNA) of promoter DNA methylation on all-cause mortality in old-aged birth cohorts finds modules of high-risk associated biomarkers. The Journals of Gerontology: Series A. https://doi.org/10.1093/gerona/glaa066

Lund, J. B., et al. (2020). Age-dependent DNA methylation patterns on the Y chromosome in elderly males. Aging Cell. https://doi.org/10.1111/acel.12907

Ma, J., et al. (2020). Whole blood DNA methylation signatures of diet are associated with cardiovascular disease risk factors and all-cause mortality. Circulation: Genomic and Precision Medicine. https://doi.org/10.1161/CIRCGEN.119.002766

Knol, M. J., et al. (2020). Association of common genetic variants with brain microbleeds: a genome-wide association study. Neurology. https://doi.org/10.1212/WNL.0000000000010852

McLachlan, K. J. J., et al. (2020). Attitudes to ageing, biomarkers of ageing and mortality: the Lothian Birth Cohort 1936. Journal of Epidemiology and Community Health. https://doi.org/10.1136/jech-2019-213462

Moodie, J. E., et al. (2020). Fluctuating asymmetry in brain structure and general intelligence in 73-year-olds. Intelligence. https://doi.org/10.1016/j.intell.2019.101407

Okely, J. A., et al. (2020). Change in Physical Activity, Sleep Quality, and Psychosocial Variables during COVID-19 Lockdown: Evidence from the Lothian Birth Cohort 1936. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph18010210

Okely, J. A., & Deary, I. J. (2020). Associations Between Declining Physical and Cognitive Functions in the Lothian Birth Cohort 1936. The Journals of Gerontology: Series A. https://doi.org/10.1093/gerona/glaa023

Parker, N., et al. (2020). Corticosteroids and Regional Variations in Thickness of the Human Cerebral Cortex across the Lifespan. Cerebral Cortex. https://doi.org/10.1093/cercor/bhz108

Praveen, S., et al. (2020). Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals. Nature Genetics. https://doi.org/10.1038/s41588-020-00713-x

Ritchie, S. J., et al. (2020). Polygenic predictors of age-related decline in cognitive ability. Molecular Psychiatry. https://doi.org/10.1038/s41380-019-0372-x

Sargurupremraj, M., et al. (2020). Cerebral small vessel disease genomics and its implications across the lifespan. Nature Communications. https://doi.org/10.1038/s41467-020-19111-2

Seeboth, A., et al. (2020). DNA methylation outlier burden, health, and ageing in Generation Scotland and the Lothian Birth Cohorts of 1921 and 1936. Clinical Epigenetics. https://doi.org/10.1186/s13148-020-00838-0

Shin, J., et al. (2020). Global and Regional Development of the Human Cerebral Cortex: Molecular Architecture and Occupational Aptitudes. Cerebral Cortex. https://doi.org/10.1093/cercor/bhaa035

Sibbett, R. A., et al. (2020). DNA methylation-based measures of accelerated biological ageing and the risk of dementia in the oldest-old: a study of the Lothian Birth Cohort 1921. BMC Psychiatry. https://doi.org/10.1186/s12888-020-2469-9

Stevenson, A. J., et al. (2020). Characterisation of an inflammation-related epigenetic score and its association with cognitive ability. Clinical Epigenetics. https://doi.org/10.1186/s13148-020-00903-8

Taylor, A. M., Ritchie, S. J., Madden, C., & Deary, I. J. (2020). Associations between Brief Resilience Scale scores and ageing-related domains in the Lothian Birth Cohort 1936. Psychology and Aging. https://doi.org/10.1037/pag0000419

Toombs, J., et al. (2020). Generation of twenty four induced pluripotent stem cell lines from twenty four members of the Lothian 4 Birth Cohort 1936. Stem Cell Research. https://doi.org/10.1016/j.scr.2020.101851

Trejo Banos, D., et al. (2020). Bayesian reassessment of the epigenetic architecture of complex traits. Nature Communications. https://doi.org/10.1038/s41467-020-16520-1

Turiano, N. A., et al. (2020). Is Healthy Neuroticism Associated with Longevity? A Coordinated Integrative Data Analysis. Collabra: Psychology. https://doi.org/10.1525/collabra.268

Valdés Hernández, M. del C., et al. (2020). Perivascular spaces in the centrum semiovale at the beginning of the 8th decade of life: effect on cognition and associations with mineral deposition. Brain Imaging and Behavior. https://doi.org/10.1007/s11682-019-00128-1

Welstead, M., et al. (2020). Inflammation as a risk factor for the development of frailty in the Lothian Birth Cohort 1936. Experimental Gerontology. https://doi.org/10.1016/j.exger.2020.111055

Westerman, K., et al. (2020). Epigenomic Assessment of Cardiovascular Disease Risk and Interactions With Traditional Risk Metrics. JAHA. https://doi.org/10.1161/JAHA.119.015299

Weston, S. J., et al. (2020). Is Healthy Neuroticism Associated with Chronic Conditions? A Coordinated Integrative Data Analysis. Collabra: Psychology. https://doi.org/10.1525/collabra.267

Wragg, D., et al. (2020). Using regulatory variants to detect gene–gene interactions identifies networks of genes linked to cell immortalisation. Nature Communications. https://doi.org/10.1038/s41467-019-13762-6

Wu, Y., et al. (2020). Promoter-anchored chromatin interactions predicted from genetic analysis of epigenomic data. Nature Communications. https://doi.org/10.1038/s41467-020-15587-0

2019

Bateson, M., et al. (2019). Smoking does not accelerate leucocyte telomere attrition: a meta-analysis of 18 longitudinal cohorts. Royal Society Open Science. https://doi.org/10.1098/rsos.190420

Bentley, A. R., et al. (2019). Multi-ancestry genome-wide gene–smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. Nature Genetics. https://doi.org/10.1038/s41588-019-0378-y

Bermingham, M. L., et al. (2019). Identification of novel differentially methylated sites with potential as clinical predictors of impaired respiratory function and COPD. EBioMedicine. https://doi.org/10.1016/j.ebiom.2019.03.072

Booth, T., et al. (2019). Reaction time variability and brain white matter integrity. Neuropsychology. https://doi.org/10.1037/neu0000483

Brett, C. E., Dykiert, D., Starr, J. M., & Deary, I. J. (2019). Predicting change in quality of life from age 79 to 90 in the Lothian Birth Cohort 1921. Quality of Life Research. https://doi.org/10.1007/s11136-018-2056-4

Chauhan, G., et al. (2019). Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting. Neurology. https://doi.org/10.1212/WNL.0000000000006851

Cherrie, M., Shortt, N., Ward Thompson, C., Deary, I., & Pearce, J. (2019). Association between the activity space exposure to parks in childhood and adolescence and cognitive aging in later life. IJERPH. https://doi.org/10.3390/ijerph16040632

Chundru, V. K., et al. (2019). Examining the Impact of Imputation Errors on Fine-Mapping Using DNA Methylation QTL as a Model Trait. Genetics. https://doi.org/10.1534/genetics.118.301861

Clark, D. W., et al. (2019). Associations of autozygosity with a broad range of human phenotypes. Nature Communications. https://doi.org/10.1038/s41467-019-12283-6

Corley, J., et al. (2019). Epigenetic signatures of smoking associate with cognitive function, brain structure, and mental and physical health outcomes in the Lothian Birth Cohort 1936. Translational Psychiatry. https://doi.org/10.1038/s41398-019-0576-5

Corley, J., Shivappa, N., Hébert, J. R., Starr, J. M., & Deary, I. J. (2019). Associations between dietary inflammatory index scores and inflammatory biomarkers among older adults in the Lothian Birth Cohort 1936 study. The Journal of Nutrition, Health and Aging. https://doi.org/10.1007/s12603-019-1221-y

Cox, S. R., et al. (2019). Sleep and cognitive aging in the eighth decade of life. Sleep. https://doi.org/10.1093/sleep/zsz019

Čukić, I., et al. (2019). Cross-sectional associations between personality traits and device-based measures of step count and sedentary behaviour in older age: the Lothian Birth Cohort 1936. BMC Geriatrics. https://doi.org/10.1186/s12877-019-1328-3

de Vries, P. S., et al. (2019). Multiancestry genome-wide association study of lipid levels incorporating gene-alcohol interactions. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwz005

Deary, I. J., et al. (2019). Brain peak width of skeletonized mean diffusivity (PSMD) and cognitive function in later life. Frontiers Psychiatry. https://doi.org/10.3389/fpsyt.2019.00524

Fawns-Ritchie, C., Davies, G., Hagenaars, S. P., & Deary, I. J. (2019). Genetic Contributions to Health Literacy. Twin Research and Human Genetics. https://doi.org/10.1017/thg.2019.28

Halachev, M., et al. (2019). Increased ultra-rare variant load in an isolated Scottish population impacts exonic and regulatory regions. PLoS Genetics. https://doi.org/10.1371/journal.pgen.1008480

Hamilton, O. K. L., et al. (2019). An epigenetic score for BMI based on DNA methylation correlates with poor physical health and major disease in the Lothian Birth Cohort. International Journal of Obesity. https://doi.org/10.1038/s41366-018-0262-3

Hill, W. D., et al. (2019). A combined analysis of genetically correlated traits identifies 187 loci and a role for neurogenesis and myelination in intelligence. Molecular Psychiatry. https://doi.org/10.1038/s41380-017-0001-5

Hillary, R. F., et al. (2019). Genome and epigenome wide studies of neurological protein biomarkers in the Lothian Birth Cohort 1936. Nature Communications. https://doi.org/10.1038/s41467-019-11177-x

Hillary, R. F., et al. (2019). An epigenetic predictor of death captures multi-modal measures of brain health. Molecular Psychiatry. https://doi.org/10.1101/703504

Humphreys, C. A., et al. (2019). A protocol for precise comparisons of small vessel disease lesions between ex vivo magnetic resonance imaging and histopathology. International Journal of Stroke. https://doi.org/10.1177/1747493018799962

Imboden, M., et al. (2019). Epigenome-wide association study of lung function level and its change. European Respiratory Journal. https://doi.org/10.1183/13993003.00457-2019

Jia, T., et al. (2019). Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group. Molecular Psychiatry. https://doi.org/10.1101/460444

Kilpeläinen, T. O., et al. (2019). Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity. Nature Communications. https://doi.org/10.1038/s41467-018-08008-w

Kraja, A. T., et al. (2019). Associations of Mitochondrial and Nuclear Mitochondrial Variants and Genes with Seven Metabolic Traits. The American Journal of Human Genetics. https://doi.org/10.1016/j.ajhg.2018.12.001

Lam, M., et al. (2019). Pleiotropic Meta-Analysis of Cognition, Education, and Schizophrenia Differentiates Roles of Early Neurodevelopmental and Adult Synaptic Pathways. American Journal of Human Genetics. https://doi.org/10.1016/j.ajhg.2019.06.012

Law, P. J., et al. (2019). Association analyses identify 31 new risk loci for colorectal cancer susceptibility. Nature Communications. https://doi.org/10.1038/s41467-019-09775-w

Lee, Y., et al. (2019). Epigenome-wide association study of leukocyte telomere length. Aging. https://doi.org/10.18632/aging.102230

Lu, A. T., et al. (2019). DNA methylation-based estimator of telomere length. Aging. https://doi.org/10.18632/aging.102173

Lund, J. B., et al. (2019). DNA methylome profiling of all-cause mortality in comparison with age-associated methylation patterns. Clinical Epigenetics. https://doi.org/10.1186/s13148-019-0622-4

MacPherson, S. E., Allerhand, M., Cox, S. R., & Deary, I. J. (2019). Individual differences in cognitive processes underlying Trail Making Test-B performance in old age: The Lothian Birth Cohort 1936. Intelligence. https://doi.org/10.1016/j.intell.2019.04.001

Marini, S., et al. (2019). Association of Apolipoprotein E With Intracerebral Hemorrhage Risk by Race/Ethnicity: A Meta-analysis. JAMA Neurology. https://doi.org/10.1001/jamaneurol.2018.4519

Marioni, R. E., et al. (2019). Tracking the Epigenetic Clock Across the Human Life Course: A Meta-analysis of Longitudinal Cohort Data. The Journals of Gerontology: Series A. https://doi.org/10.1093/gerona/gly060

McGrory, S., et al. (2019). Retinal microvasculature and cerebral small vessel disease in the Lothian Birth Cohort 1936 and Mild Stroke Study. Scientific Report. https://doi.org/10.1038/s41598-019-42534-x

McGrory, S., et al. (2019). Retinal microvascular features and cognitive change in the Lothian-Birth Cohort 1936. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring. https://doi.org/10.1016/j.dadm.2019.04.012

Muñoz Maniega, S., et al. (2019). Spatial Gradient of Microstructural Changes in Normal-Appearing White Matter in Tracts Affected by White Matter Hyperintensities in Older Age. Frontiers Neurology. https://doi.org/10.3389/fneur.2019.00784

Okely, J. A., Akeroyd, M. A., Allerhand, M., Starr, J. M., & Deary, I. J. (2019). Longitudinal associations between hearing loss and general cognitive ability: The Lothian Birth Cohort 1936. Psychology and Aging. https://doi.org/10.1037/pag0000385

Okely, J. A., et al. (2019). Positive and negative well-being and objectively measured sedentary behaviour in older adults: evidence from three cohorts. BMC Geriatrics. https://doi.org/10.1186/s12877-019-1026-1

Okely, J. A., & Deary, I. J. (2019). Longitudinal Associations Between Loneliness and Cognitive Ability in the Lothian Birth Cohort 1936. The Journals of Gerontology: Series B. https://doi.org/10.1093/geronb/gby086

Ortiz-Ramón, R., et al. (2019). Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images. Computerized Medical Imaging and Graphics. https://doi.org/10.1016/j.compmedimag.2019.02.006

Palmer, V. J., et al. (2019). What Do Older People Do When Sitting and Why? Implications for Decreasing Sedentary Behavior. The Gerontologist. https://doi.org/10.1093/geront/gny020

Prendergast, J. G. D., et al. (2019). Linked Mutations at Adjacent Nucleotides Have Shaped Human Population Differentiation and Protein Evolution. Genome Biology and Evolution. https://doi.org/10.1093/gbe/evz014

Robertson, N. A., et al. (2019). Age-related clonal haemopoiesis is associated with increased epigenetic age. Current Biology. https://doi.org/10.1016/j.cub.2019.07.011

Satizabal, C. L., et al. (2019). Genetic architecture of subcortical brain structures in 38,851 individuals. Nat. Genet. https://doi.org/10.1038/s41588-019-0511-y

Sikdar, S., et al. (2019). Comparison of smoking-related DNA methylation between newborns from prenatal exposure and adults from personal smoking. Epigenomics. https://doi.org/10.2217/epi-2019-0066

Stevenson, A. J., et al. (2019). Childhood intelligence attenuates the association between biological ageing and health outcomes in later life. Translational Psychiatry. https://doi.org/10.1038/s41398-019-0657-5

Veluchamy, A., et al. (2019). Novel Genetic Locus Influencing Retinal Venular Tortuosity Is Also Associated With Risk of Coronary Artery Disease. Arterioscler. Thromb. Vasc. Biol. https://doi.org/10.1161/ATVBAHA.119.312552

Zhang, F., et al. (2019). OSCA: a tool for omic-data-based complex trait analysis. Genome Biology. https://doi.org/10.1186/s13059-019-1718-z

Zhang, Q., et al. (2019). Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing. Genome Med 11, 54. https://doi.org/10.1186/s13073-019-0667-1

2018

Aichele, S., et al. (2018). Fluid intelligence predicts change in depressive symptoms in later life: The Lothian Birth Cohort 1936. Psychological Science. https://doi.org/10.1177/0956797618804501

Alhusaini, S., et al. (2018). Association between carotid atheroma and cerebral cortex structure at age 73 years: Carotid Disease. Annals of Neurology. https://doi.org/10.1002/ana.25324

Alloza, C., et al. (2018). Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study. NeuroImage. https://doi.org/10.1016/j.neuroimage.2018.08.075

Altschul, D. M., Starr, J. M., & Deary, I. J. (2018). Cognitive function in early and later life is associated with blood glucose in older individuals: analysis of the Lothian Birth Cohort of 1936. Diabetologia. https://doi.org/10.1007/s00125-018-4645-8

Anblagan, D., et al. (2018). Coupled changes in hippocampal structure and cognitive ability in later life. Brain and Behavior. https://doi.org/10.1002/brb3.838

Aslibekyan, S., et al. (2018). Association of methylation signals with incident coronary heart disease in an epigenome-wide assessment of circulating tumor necrosis factor α. JAMA Cardiology. https://doi.org/10.1001/jamacardio.2018.0510

Chastin, S. F. M., et al. (2018). Systematic comparative validation of self-report measures of sedentary time against an objective measure of postural sitting (activPAL). International Journal Behavioral Nutrition and Physical Activity. https://doi.org/10.1186/s12966-018-0652-x

Cherrie, M. P. C., et al. (2018). Green space and cognitive ageing: A retrospective life course analysis in the Lothian Birth Cohort 1936. Social Science & Medicine. https://doi.org/10.1016/j.socscimed.2017.10.038

Cole, J. H., et al. (2018). Brain age predicts mortality. Molecular Psychiatry. https://doi.org/10.1038/mp.2017.62

Corley, J., Cox, S. R., & Deary, I. J. (2018). Healthy cognitive ageing in the Lothian Birth Cohort studies: marginal gains not magic bullet. Psychological Medicine. https://doi.org/10.1017/S0033291717001489

Corre, T., et al. (2018). Genome-wide meta-analysis unravels interactions between magnesium homeostasis and metabolic phenotypes. JASN. https://doi.org/10.1681/ASN.2017030267

Cox, S. R., et al. (2018). Longitudinal serum S100β and brain aging in the Lothian Birth Cohort 1936. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2018.05.029

Cox, S. R., et al. (2018). Brain cortical characteristics of lifetime cognitive ageing. Brain Structure and Function. https://doi.org/10.1007/s00429-017-1505-0

Crook, Z., et al. (2018). Apolipoprotein E genotype does not moderate the associations of depressive symptoms, neuroticism and allostatic load with cognitive ability and cognitive aging in the Lothian Birth Cohort 1936. PLoS ONE. https://doi.org/10.1371/journal.pone.0192604

Čukić, I., et al. (2018). Cognitive ability does not predict objectively measured sedentary behavior: Evidence from three older cohorts. Psychology and Aging. https://doi.org/10.1037/pag0000221

Dall, P. M., et al. (2018). Characteristics of a Protocol to Collect Objective Physical Activity/Sedentary Behavior Data in a Large Study: Seniors USP (Understanding Sedentary Patterns). Journal for the Measurement of Physical Behaviour. https://doi.org/10.1123/jmpb.2017-0004

Davies, G., et al. (2018). Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nature Communications. https://doi.org/10.1038/s41467-018-04362-x

Fawns-Ritchie, C., et al. (2018). Role of cognitive ability in the association between functional health literacy and mortality in the Lothian Birth Cohort 1936: a prospective cohort study. BMJ Open. https://doi.org/10.1136/bmjopen-2018-022502

Feitosa, M.F., et al. (2018). Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries. PLoS ONE. https://doi.org/10.1371/journal.pone.0198166

Franceschini, N., et al. (2018). GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes. Nature Communications. https://doi.org/10.1038/s41467-018-07340-5

Gale, C.R., et al. (2018a). Attitudes to ageing and objectively-measured sedentary and walking behaviour in older people: The Lothian Birth Cohort 1936. PLoS ONE. https://doi.org/10.1371/journal.pone.0197357

Gale, C.R., et al. (2018b). The epigenetic clock and objectively measured sedentary and walking behavior in older adults: the Lothian Birth Cohort 1936. Clinical Epigenetics. https://doi.org/10.1186/s13148-017-0438-z

Gale, C.R., et al. (2018c). DNA methylation and the epigenetic clock in relation to physical frailty in older people: the Lothian Birth Cohort 1936. Clinical Epigenetics. https://doi.org/10.1186/s13148-018-0538-4

Hagenaars, S.P., et al. (2018). Genetic contributions to Trail Making Test performance in UK Biobank. Molecular Psychiatry. https://doi.org/10.1038/mp.2017.189

He, Y., et al. (2018). Exploring causality in the association between circulating 25-hydroxyvitamin D and colorectal cancer risk: a large Mendelian randomisation study. BMC. https://doi.org/10.1186/s12916-018-1119-2

Jackson, V.E., et al. (2018a). Meta-analysis of exome array data identifies six novel genetic loci for lung function. Wellcome Open Research. https://doi.org/10.12688/wellcomeopenres.12583.3

Jackson, V.E., et al. (2018b). Meta-analysis of exome array data identifies six novel genetic loci for lung function. Wellcome Open Research. https://doi.org/10.12688/wellcomeopenres.12583.1

Jian, X., et al. (2018). Exome Chip Analysis Identifies Low-Frequency and Rare Variants in MRPL38 for White Matter Hyperintensities on Brain Magnetic Resonance Imaging. Stroke. https://doi.org/10.1161/STROKEAHA.118.020689

Laidlaw, K., et al. (2018). Development of a short form of the Attitudes to Ageing Questionnaire (AAQ): Development of AAQ - short form. International Journal of Geriatric Psychiatry. https://doi.org/10.1002/gps.4687

Laukka, E.J., et al. (2018). Effects of between-person differences and within-person changes in symptoms of anxiety and depression on older age cognitive performance. Psychological Medicine. https://doi.org/10.1017/S0033291717002896

Lewis, G.J., et al. (2018). Widespread associations between trait conscientiousness and thickness of brain cortical regions. NeuroImage. https://doi.org/10.1016/j.neuroimage.2018.04.033

Ligthart, S., et al. (2018). Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. The American Journal of Human Genetics. https://doi.org/10.1016/j.ajhg.2018.09.009

Liu, C., et al. (2018). A DNA methylation biomarker of alcohol consumption. Molecular Psychiatry. https://doi.org/10.1038/mp.2016.192

Lu, A.T., et al. (2018). GWAS of epigenetic aging rates in blood reveals a critical role for TERT. Nature Communications. https://doi.org/10.1038/s41467-017-02697-5

Luciano, M., et al. (2018). The influence of dyslexia candidate genes on reading skill in old age. Behaviour Genetics. https://doi.org/10.1007/s10519-018-9913-3

Marioni, R.E., et al. (2018). Association of facial ageing with DNA methylation and epigenetic age predictions. Clinical Epigenetics. https://doi.org/10.1186/s13148-018-0572-2

Marioni, R.E., et al. (2018). Meta-analysis of epigenome-wide association studies of cognitive abilities. Molecular Psychiatry. https://doi.org/10.1038/s41380-017-0008-y

McCartney, D.L., et al. (2018). Epigenetic prediction of complex traits and death. Genome Biology. https://doi.org/10.1186/s13059-018-1514-1

McGrory, S., et al. (2018). Towards Standardization of Quantitative Retinal Vascular Parameters: Comparison of SIVA and VAMPIRE Measurements in the Lothian Birth Cohort 1936. Translational Vision Science & Technology. https://doi.org/10.1167/tvst.7.2.12

McRae, A.F., et al. (2018). Identification of 55,000 Replicated DNA Methylation QTL. Scientific Reports. https://doi.org/10.1038/s41598-018-35871-w

Pearce, J., et al. (2018). Life course of place: A longitudinal study of mental health and place. Transactions of the Institute of British Geographers. https://doi.org/10.1111/tran.12246

Pinter, D., et al. (2018). Predictors of gait speed and its change over three years in community-dwelling older people. Aging. https://doi.org/10.18632/aging.101365

Qi, T., et al. (2018). Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood. Nature Communications. https://doi.org/10.1038/s41467-018-04558-1

Ritchie, S.J., et al. (2018). Brain structural differences between 73- and 92-year olds matched for childhood intelligence, social background, and intracranial volume. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2017.10.005

Robitaille, A., et al. (2018). Transitions across cognitive states and death among older adults in relation to education: A multistate survival model using data from six longitudinal studies. Alzheimer’s & Dementia. https://doi.org/10.1016/j.jalz.2017.10.003

Savage, J.E., et al., (2018). Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nat Genet 50, 912–919. https://doi.org/10.1038/s41588-018-0152-6

Savine, A.M., et al. (2018). DNA methylation and all-cause mortality in middle-aged and elderly Danish twins. Genes. https://doi.org/10.3390/genes9020078

Sibbett, R.A., et al. (2018a). Physical fitness and dementia risk in the very old: a study of the Lothian Birth Cohort 1921. BMC Psychiatry. https://doi.org/10.1186/s12888-018-1851-3

Sibbett, R.A., et al. (2018b). Does incipient dementia explain normal cognitive decline determinants? Lothian birth cohort 1921. Psychology and Aging. https://doi.org/10.1037/pag0000241

Stevenson, A.J., et al. (2018). Trajectories of inflammatory biomarkers over the eighth decade and their associations with immune cell profiles and epigenetic ageing. Clinical Epigenetics. https://doi.org/10.1186/s13148-018-0585-x

Story Jovanova, O., et al. (2018). DNA Methylation Signatures of Depressive Symptoms in Middle-aged and Elderly Persons: Meta-analysis of Multiethnic Epigenome-wide Studies. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2018.1725

Sung, Y.J., et al. (2018). A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. The American Journal of Human Genetics. https://doi.org/10.1016/j.ajhg.2018.01.015

Taylor, A.M., et al. (2018). Cohort Profile Update: The Lothian Birth Cohorts of 1921 and 1936. International Journal of Epidemiology. https://doi.org/10.1093/ije/dyy022

Teng, S., et al. (2018). Rare disruptive variants in the DISC1 Interactome and Regulome: association with cognitive ability and schizophrenia. Molecular Psychiatry. https://doi.org/10.1038/mp.2017.115

Teumer, A., et al. (2018). Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation. Nature Communications. https://doi.org/10.1038/s41467-018-06356-1

Turcot, V., et al. (2018). Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nature Genetics. https://doi.org/10.1038/s41588-017-0011-x

Vojinovic, D., et al. (2018). Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume. Nature Communications. https://doi.org/10.1038/s41467-018-06234-w

Wang, Y., et al. (2018). Epigenetic influences on aging: a longitudinal genome-wide methylation study in old Swedish twins. Epigenetics. https://doi.org/10.1080/15592294.2018.1526028

Ward-Caviness, C.K., et al. (2018). DNA methylation age is associated with an altered hemostatic profile in a multiethnic meta-analysis. Blood. https://doi.org/10.1182/blood-2018-02-831347

Wiseman, S.J., et al. (2018). Cognitive abilities, brain white matter hyperintensity volume, and structural network connectivity in older age: Cognitive Abilities and Connectivity in Healthy Ageing. Human Brain Mapping. https://doi.org/10.1002/hbm.23857

Wu, Y., et al. (2018). Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits. Nature Communications. https://doi.org/10.1038/s41467-018-03371-0

Zhang, Q., et al. (2018). Genotype effects contribute to variation in longitudinal methylome patterns in older people. Genome Medicine. https://doi.org/10.1186/s13073-018-0585-7

2017

Aschard, H., Tobin, M.D., Hancock, D.B., Skurnik, D., Sood, A., et al., (2017). Evidence for large-scale gene-by-smoking interaction effects on pulmonary function. Int. J. Epidemiol. dyw318. https://doi.org/10.1093/ije/dyw318

Ben-Avraham, D., Karasik, D., Verghese, J., Lunetta, K.L., Smith, J.A., et al., (2017). The complex genetics of gait speed: genome-wide meta-analysis approach. aging 9, 209–246. https://doi.org/10.18632/aging.101151

Corre, T., Olinger, E., Harris, S.E., Traglia, M., Ulivi, S., et al., (2017). Common variants in CLDN14 are associated with differential excretion of magnesium over calcium in urine. Pflugers Arch - Eur J Physiol 469, 91–103. https://doi.org/10.1007/s00424-016-1913-7

Cox, S.R., Ritchie, S.J., Dickie, D.A., Pattie, A., Royle, N.A., et al., (2017a). Interaction of APOE e4 and poor glycemic control predicts white matter hyperintensity growth from 73 to 76. Neurobiology of Aging 54, 54–58. https://doi.org/10.1016/j.neurobiolaging.2017.02.014

Cox, S.R., Valdés Hernández, M. del C., Kim, J., Royle, N.A., MacPherson, S.E., et al., (2017b). Associations between hippocampal morphology, diffusion characteristics, and salivary cortisol in older men. Psychoneuroendocrinology 78, 151–158. https://doi.org/10.1016/j.psyneuen.2017.01.027

de Vries, P.S., Sabater-Lleal, M., Chasman, D.I., Trompet, S., Ahluwalia, T.S., et al., (2017). Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study. PLoS ONE 12, e0167742. https://doi.org/10.1371/journal.pone.0167742

del C. Valdés Hernández, M., Kyle, J., Allan, J., Allerhand, M., Clark, H., et al., (2017). Dietary iodine exposure and brain structures and cognition in older people. Exploratory analysis in the Lothian Birth Cohort 1936. J Nutr Health Aging 21, 971–979. https://doi.org/10.1007/s12603-017-0954-8

Fernández, E., Collins, M.O., Frank, R.A.W., Zhu, F., Kopanitsa, M.V., et al., (2017). Arc Requires PSD95 for Assembly into Postsynaptic Complexes Involved with Neural Dysfunction and Intelligence. Cell Reports 21, 679–691. https://doi.org/10.1016/j.celrep.2017.09.045

Gale, C.R., Ritchie, S.J., Cooper, C., Starr, J.M., Deary, I.J., (2017). Cognitive Ability in Late Life and Onset of Physical Frailty: The Lothian Birth Cohort 1936. J Am Geriatr Soc 65, 1289–1295. https://doi.org/10.1111/jgs.14787

Gow, A.J., Pattie, A., Deary, I.J., (2017). Lifecourse Activity Participation From Early, Mid, and Later Adulthood as Determinants of Cognitive Aging: The Lothian Birth Cohort 1921. GERONB 72, 25–37. https://doi.org/10.1093/geronb/gbw124

Guadalupe, T., Mathias, S.R., vanErp, T.G.M., Whelan, C.D., Zwiers, M.P., et al., (2017). Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex. Brain Imaging and Behavior 11, 1497–1514. https://doi.org/10.1007/s11682-016-9629-z

Hägg, S., Zhan, Y., Karlsson, R., Gerritsen, L., Ploner, A., et al., (2017). Short telomere length is associated with impaired cognitive performance in European ancestry cohorts. Transl Psychiatry 7, e1100–e1100. https://doi.org/10.1038/tp.2017.73

Harris, S.E., Riggio, V., Evenden, L., Gilchrist, T., McCafferty, S., et al., (2017). Age-related gene expression changes, and transcriptome wide association study of physical and cognitive aging traits, in the Lothian Birth Cohort 1936. aging 9, 2489–2503. https://doi.org/10.18632/aging.101333

Hedman, Å.K., Mendelson, M.M., Marioni, R.E., Gustafsson, S., Joehanes, R., et al., (2017). Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies. Circ Cardiovasc Genet 10. https://doi.org/10.1161/CIRCGENETICS.116.001487

Hibar, D.P., Adams, H.H.H., Jahanshad, N., Chauhan, G., Stein, J.L., et al., (2017). Novel genetic loci associated with hippocampal volume. Nat Commun 8, 13624. https://doi.org/10.1038/ncomms13624

Hoffman, P., Cox, S.R., Dykiert, D., Muñoz Maniega, S., Valdés Hernández, M.C., et al., (2017). Brain grey and white matter predictors of verbal ability traits in older age: The Lothian Birth Cohort 1936. NeuroImage 156, 394–402. https://doi.org/10.1016/j.neuroimage.2017.05.052

Iveson, M.H., Deary, I.J., (2017). Intergenerational social mobility and subjective wellbeing in later life. Social Science & Medicine 188, 11–20. https://doi.org/10.1016/j.socscimed.2017.06.038

Job, D.E., Dickie, D.A., Rodriguez, D., Robson, A., Danso, S., et al., (2017). A brain imaging repository of normal structural MRI across the life course: Brain Images of Normal Subjects (BRAINS). NeuroImage 144, 299–304. https://doi.org/10.1016/j.neuroimage.2016.01.027

Karlsson Linnér, R., Marioni, R.E., Rietveld, C.A., Simpkin, A.J., Davies, N.M., et al., (2017). An epigenome-wide association study meta-analysis of educational attainment. Mol Psychiatry 22, 1680–1690. https://doi.org/10.1038/mp.2017.210

Kraja, A.T., Cook, J.P., Warren, H.R., Surendran, P., Liu, C., et al., (2017). New Blood Pressure–Associated Loci Identified in Meta-Analyses of 475 000 Individuals. Circ Cardiovasc Genet 10. https://doi.org/10.1161/CIRCGENETICS.117.001778

Lam, M., Trampush, J.W., Yu, J., Knowles, E., Davies, G., et al., (2017). Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets. Cell Reports 21, 2597–2613. https://doi.org/10.1016/j.celrep.2017.11.028

Li, S., Christiansen, L., Christensen, K., Kruse, T.A., Redmond, P., et al., (2017). Identification, replication and characterization of epigenetic remodelling in the aging genome: a cross population analysis. Sci Rep 7, 8183. https://doi.org/10.1038/s41598-017-08346-7

Liu, D.J., Peloso, G.M., Yu, H., Butterworth, A.S., Wang, X., et al., (2017). Exome-wide association study of plasma lipids in >300,000 individuals. Nat Genet 49, 1758–1766. https://doi.org/10.1038/ng.3977

Luciano, M., Corley, J., Cox, S.R., Valdés Hernández, M.C., Craig, L.C.A., et al., (2017). Mediterranean-type diet and brain structural change from 73 to 76 years in a Scottish cohort. Neurology 88, 449–455. https://doi.org/10.1212/WNL.0000000000003559

MacPherson, S.E., Cox, S.R., Dickie, D.A., Karama, S., Starr, J.M., et al., (2017). Processing speed and the relationship between Trail Making Test-B performance, cortical thinning and white matter microstructure in older adults. Cortex 95, 92–103. https://doi.org/10.1016/j.cortex.2017.07.021

Mandaviya, P.R., Joehanes, R., Aïssi, D., Kühnel, B., Marioni, R.E., et al., (2017). Genetically defined elevated homocysteine levels do not result in widespread changes of DNA methylation in leukocytes. PLoS ONE 12, e0182472. https://doi.org/10.1371/journal.pone.0182472

Marouli, E., Graff, M., Medina-Gomez, C., Lo, K.S., Wood, A.R., et al., (2017). Rare and low-frequency coding variants alter human adult height. Nature 542, 186–190. https://doi.org/10.1038/nature21039

McGrory, S., Taylor, A.M., Kirin, M., Corley, J., Pattie, A., et al., (2017). Retinal microvascular network geometry and cognitive abilities in community-dwelling older people: The Lothian Birth Cohort 1936 study. Br J Ophthalmol 101, 993–998. https://doi.org/10.1136/bjophthalmol-2016-309017

Mendelson, M.M., Marioni, R.E., Joehanes, R., Liu, C., Hedman, Å.K., et al., (2017). Association of Body Mass Index with DNA Methylation and Gene Expression in Blood Cells and Relations to Cardiometabolic Disease: A Mendelian Randomization Approach. PLoS Med 14, e1002215. https://doi.org/10.1371/journal.pmed.1002215

Mõttus, R., Marioni, R., Deary, I.J., (2017). Markers of Psychological Differences and Social and Health Inequalities: Possible Genetic and Phenotypic Overlaps: Potentially Overlapping Markers. J Pers 85, 104–117. https://doi.org/10.1111/jopy.12220

Muñoz Maniega, S., Bastin, M., Deary, I., Wardlaw, J., Clayden, J., (2017). Reference Tracts and Generative Models for Brain White Matter Tractography. J. Imaging 4, 8. https://doi.org/10.3390/jimaging4010008

Pinter, D., Ritchie, S.J., Doubal, F., Gattringer, T., Morris, Z., et al., (2017). Impact of small vessel disease in the brain on gait and balance. Sci Rep 7, 41637. https://doi.org/10.1038/srep41637

Richard, M.A., Huan, T., Ligthart, S., Gondalia, R., Jhun, M.A., et al., (2017). DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation. The American Journal of Human Genetics 101, 888–902. https://doi.org/10.1016/j.ajhg.2017.09.028

Ritchie, S.J., Tucker-Drob, E.M., Cox, S.R., Dickie, D.A., del C. Valdés Hernández, M., et al., (2017). Risk and protective factors for structural brain ageing in the eighth decade of life. Brain Struct Funct 222, 3477–3490. https://doi.org/10.1007/s00429-017-1414-2

Shaw, R., Čukić, I., Deary, I., Gale, C., Chastin, S., et al., (2017). The Influence of Neighbourhoods and the Social Environment on Sedentary Behaviour in Older Adults in Three Prospective Cohorts. IJERPH 14, 557. https://doi.org/10.3390/ijerph14060557

Shaw, R.J., Čukić, I., Deary, I.J., Gale, C.R., Chastin, S.F., et al., (2017). Relationships between socioeconomic position and objectively measured sedentary behaviour in older adults in three prospective cohorts. BMJ Open 7, e016436. https://doi.org/10.1136/bmjopen-2017-016436

Shenkin, S.D., Pernet, C., Nichols, T.E., Poline, J.-B., Matthews, P.M., et al., (2017). Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group. NeuroImage 153, 399–409. https://doi.org/10.1016/j.neuroimage.2017.02.030

Sibbett, R.A., Russ, T.C., Deary, I.J., Starr, J.M., (2017a). Dementia ascertainment using existing data in UK longitudinal and cohort studies: a systematic review of methodology. BMC Psychiatry 17, 239. https://doi.org/10.1186/s12888-017-1401-4

Sibbett, R.A., Russ, T.C., Deary, I.J., Starr, J.M., (2017b). Risk factors for dementia in the ninth decade of life and beyond: a study of the Lothian birth cohort 1921. BMC Psychiatry 17, 205. https://doi.org/10.1186/s12888-017-1366-3

Smeland, O.B., Frei, O., Kauppi, K., Hill, W.D., Li, W., et al., (2017). Identification of Genetic Loci Jointly Influencing Schizophrenia Risk and the Cognitive Traits of Verbal-Numerical Reasoning, Reaction Time, and General Cognitive Function. JAMA Psychiatry 74, 1065. https://doi.org/10.1001/jamapsychiatry.2017.1986

Sniekers, S., Stringer, S., Watanabe, K., Jansen, P.R., Coleman, J.R.I., et al., (2017). Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence. Nat Genet 49, 1107–1112. https://doi.org/10.1038/ng.3869

Taylor, A.M., Ritchie, S.J., Deary, I.J., (2017). Associations of intelligence across the life course with optimism and pessimism in older age. Intelligence 62, 79–88. https://doi.org/10.1016/j.intell.2017.03.002

Thompson, P.M., Andreassen, O.A., Arias-Vasquez, A., Bearden, C.E., Boedhoe, P.S., et al., (2017). ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide. NeuroImage 145, 389–408. https://doi.org/10.1016/j.neuroimage.2015.11.057

Trampush, J.W., Yang, M.L.Z., Yu, J., Knowles, E., Davies, G., et al., (2017). GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium. Mol Psychiatry 22, 336–345. https://doi.org/10.1038/mp.2016.244

Tzioras, M., Easter, J., Harris, S., McKenzie, C.-A., Smith, C., et al., (2017). Assessing amyloid-β, tau, and glial features in Lothian Birth Cohort 1936 participants post-mortem. Science Matters. https://discovery.dundee.ac.uk/ws/portalfiles/portal/33157405/Final_Published_Version.pdf

Valdés Hernández, M. del C., Cox, S.R., Kim, J., Royle, N.A., Muñoz Maniega, S., et al., (2017). Hippocampal morphology and cognitive functions in community-dwelling older people: the Lothian Birth Cohort 1936. Neurobiology of Aging 52, 1–11. https://doi.org/10.1016/j.neurobiolaging.2016.12.012

Valdés Hernández, M.D.C., Chappell, F.M., Muñoz Maniega, S., Dickie, D.A., Royle, N.A., et al., (2017). Metric to quantify white matter damage on brain magnetic resonance images. Neuroradiology 59, 951–962. https://doi.org/10.1007/s00234-017-1892-1

Wain, Louise V, Shrine, N., Artigas, M.S., Erzurumluoglu, A.M., Noyvert, B., et al., (2017). Genome-wide association analyses for lung function and chronic obstructive pulmonary disease identify new loci and potential druggable targets. Nat Genet 49, 416–425. https://doi.org/10.1038/ng.3787

Wain, Louise V., Vaez, A., Jansen, R., Joehanes, R., van der Most, P.J., et al., (2017). Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney. Hypertension 70. https://doi.org/10.1161/HYPERTENSIONAHA.117.09438

Wardlaw, J.M., Allerhand, M., Eadie, E., Thomas, A., Corley, J., et al., (2017). Carotid disease at age 73 and cognitive change from age 70 to 76 years: A longitudinal cohort study. J Cereb Blood Flow Metab 37, 3042–3052. https://doi.org/10.1177/0271678X16683693

Warren, H.R., Evangelou, E., Cabrera, C.P., Gao, H., Ren, M., et al., (2017). Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. Nat Genet 49, 403–415. https://doi.org/10.1038/ng.3768

2016

Adams, H.H.H., Hibar, D.P., Chouraki, V., Stein, J.L., Nyquist, P.A., et al., (2016). Novel genetic loci underlying human intracranial volume identified through genome-wide association. Nat Neurosci 19, 1569–1582. https://doi.org/10.1038/nn.4398

Anderson, C.D., Falcone, G.J., Phuah, C.-L., Radmanesh, F., Brouwers, H.B., et al., (2016). Genetic variants in CETP increase risk of intracerebral hemorrhage: CETP Genetic Variation and ICH. Ann Neurol. 80, 730–740. https://doi.org/10.1002/ana.24780

Ballerini, L., Lovreglio, R., Hernández, M. del C.V., Gonzalez-Castro, V., Maniega, S.M., et al., (2016). Application of the Ordered Logit Model to Optimising Frangi Filter Parameters for Segmentation of Perivascular Spaces. Procedia Computer Science 90, 61–67. https://doi.org/10.1016/j.procs.2016.07.011

Barban, N., Jansen, R., de Vlaming, R., Vaez, A., Mandemakers, J.J., et al., (2016). Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nat Genet 48, 1462–1472. https://doi.org/10.1038/ng.3698

Broer, T., Pickersgill, M., Deary, I.J., (2016). The Movement of Research from the Laboratory to the Living Room: a Case Study of Public Engagement with Cognitive Science. Neuroethics 9, 159–171. https://doi.org/10.1007/s12152-016-9259-6

Chami, N., Chen, M.-H., Slater, A.J., Eicher, J.D., Evangelou, E., et al., (2016). Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits. The American Journal of Human Genetics 99, 8–21. https://doi.org/10.1016/j.ajhg.2016.05.007

Chen, B.H., Marioni, R.E., Colicino, E., Peters, M.J., Ward-Caviness, C.K., et al., (2016). DNA methylation-based measures of biological age: meta-analysis predicting time to death. aging 8, 1844–1865. https://doi.org/10.18632/aging.101020

Clarke, T.-K., Lupton, M.K., Fernandez-Pujals, A.M., Starr, J., Davies, G., et al., (2016). Common polygenic risk for autism spectrum disorder (ASD) is associated with cognitive ability in the general population. Mol Psychiatry 21, 419–425. https://doi.org/10.1038/mp.2015.12

Cox, S.R., Bak, T.H., Allerhand, M., Redmond, P., Starr, J.M., et al., (2016a). Bilingualism, social cognition and executive functions: A tale of chickens and eggs. Neuropsychologia 91, 299–306. https://doi.org/10.1016/j.neuropsychologia.2016.08.029

Cox, S.R., Dickie, D.A., Ritchie, S.J., Karama, S., Pattie, A., et al., (2016b). Associations between education and brain structure at age 73 years, adjusted for age 11 IQ. Neurology 87, 1820–1826. https://doi.org/10.1212/WNL.0000000000003247

Cox, S.R., McKenzie, T.I., Aribisala, B.S., Royle, N.A., MacPherson, S.E., et al., (2016c). Volumetric and Correlational Implications of Brain Parcellation Method Selection: A 3-Way Comparison in the Frontal Lobes. Journal of Computer Assisted Tomography 40, 53–60. https://doi.org/10.1097/RCT.0000000000000314

de Vries, P.S., Chasman, D.I., Sabater-Lleal, M., Chen, M.-H., Huffman, J.E., et al., (2016). A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration. Hum. Mol. Genet. 25, 358–370. https://doi.org/10.1093/hmg/ddv454

Deary, I.J., Cox, S.R., Ritchie, S.J., (2016). Getting Spearman off the Skyhook: One More in a Century (Since Thomson, 1916) of Attempts to Vanquish g. Psychological Inquiry 27, 192–199. https://doi.org/10.1080/1047840X.2016.1186525

Deary, I.J., Ritchie, S.J., (2016). Processing speed differences between 70- and 83-year-olds matched on childhood IQ. Intelligence 55, 28–33. https://doi.org/10.1016/j.intell.2016.01.002

Dickie, D.A., Karama, S., Ritchie, S.J., Cox, S.R., Sakka, E., et al., (2016a). Progression of White Matter Disease and Cortical Thinning Are Not Related in Older Community-Dwelling Subjects. Stroke 47, 410–416. https://doi.org/10.1161/STROKEAHA.115.011229

Dickie, D.A., Ritchie, S.J., Cox, S.R., Sakka, E., Royle, N.A., et al., (2016b). Vascular risk factors and progression of white matter hyperintensities in the Lothian Birth Cohort 1936. Neurobiology of Aging 42, 116–123. https://doi.org/10.1016/j.neurobiolaging.2016.03.011

Dykiert, D., Der, G., Starr, J.M., Deary, I.J., (2016). Why is Mini-Mental state examination performance correlated with estimated premorbid cognitive ability?. Psychol. Med. 46, 2647–2654. https://doi.org/10.1017/S0033291716001045

Eicher, J.D., Chami, N., Kacprowski, T., Nomura, A., Chen, M.-H., et al., (2016). Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals. The American Journal of Human Genetics 99, 40–55. https://doi.org/10.1016/j.ajhg.2016.05.005

Field, T., Doubal, F., Johnson, W., Backhouse, E., McHutchison, C., et al., (2016). Early life characteristics and late life burden of cerebral small vessel disease in the Lothian Birth Cohort 1936. aging 8, 2039–2061. https://doi.org/10.18632/aging.101043

Firth, C., Harrison, R., Ritchie, S., Wardlaw, J., Ferro, C.J., et al., (2016). Cytomegalovirus infection is associated with an increase in systolic blood pressure in older individuals. QJM 109, 595–600. https://doi.org/10.1093/qjmed/hcw026

Gale, C.R., Booth, T., Starr, J.M., Deary, I.J., (2016). Intelligence and socioeconomic position in childhood in relation to frailty and cumulative allostatic load in later life: the Lothian Birth Cohort 1936. J Epidemiol Community Health 70, 576–582. https://doi.org/10.1136/jech-2015-205789

Hagenaars, Saskia P, Harris, S.E., Clarke, T.-K., Hall, L., Luciano, M., et al., (2016). Polygenic risk for coronary artery disease is associated with cognitive ability in older adults. Int. J. Epidemiol. 45, 433–440. https://doi.org/10.1093/ije/dyv354

Hagenaars, S P, Harris, S.E., Davies, G., Hill, W.D., Liewald, D.C.M., et al., (2016). Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N=112 151) and 24 GWAS consortia. Mol Psychiatry 21, 1624–1632. https://doi.org/10.1038/mp.2015.225

Harris, M.A., Brett, C.E., Starr, J.M., Deary, I.J., Johnson, W., (2016). Personality and Other Lifelong Influences on Older-Age Health and Wellbeing: Preliminary Findings in Two Scottish Samples: Predicting Older-age health and wellbeing. Eur. J. Pers. 30, 438–455. https://doi.org/10.1002/per.2068

Harris, S.E., Malik, R., Marioni, R., Campbell, A., Seshadri, S., et al., (2016a). Polygenic risk of ischemic stroke is associated with cognitive ability. Neurology 86, 611–618. https://doi.org/10.1212/WNL.0000000000002306

Harris, S.E., Marioni, R.E., Martin-Ruiz, C., Pattie, A., Gow, A.J., et al., (2016b). Longitudinal telomere length shortening and cognitive and physical decline in later life: The Lothian Birth Cohorts 1936 and 1921. Mechanisms of Ageing and Development 154, 43–48. https://doi.org/10.1016/j.mad.2016.02.004

Hill, W.D., Davies, G., Harris, S.E., Hagenaars, S.P., Liewald, D.C., et al., (2016). Molecular genetic aetiology of general cognitive function is enriched in evolutionarily conserved regions. Transl Psychiatry 6, e980–e980. https://doi.org/10.1038/tp.2016.246

Hill, W.D., Davies, G., Liewald, D.C., McIntosh, A.M., Deary, I.J., (2016). Age-Dependent Pleiotropy Between General Cognitive Function and Major Psychiatric Disorders. Biological Psychiatry 80, 266–273. https://doi.org/10.1016/j.biopsych.2015.08.033

Hill, W.D., Davies, G., Liewald, D.C., Payton, A., McNeil, C.J., et al., (2016). Examining non-syndromic autosomal recessive intellectual disability (NS-ARID) genes for an enriched association with intelligence differences. Intelligence 54, 80–89. https://doi.org/10.1016/j.intell.2015.11.005

Howrigan, D.P., Simonson, M.A., Davies, G., Harris, S.E., Tenesa, A., et al., (2016). Genome-wide autozygosity is associated with lower general cognitive ability. Mol Psychiatry 21, 837–843. https://doi.org/10.1038/mp.2015.120

Ibrahim-Verbaas, C.A., Bressler, J., Debette, S., Schuur, M., Smith, A.V., et al., (2016). GWAS for executive function and processing speed suggests involvement of the CADM2 gene. Mol Psychiatry 21, 189–197. https://doi.org/10.1038/mp.2015.37

Joehanes, R., Just, A.C., Marioni, R.E., Pilling, L.C., Reynolds, L.M., et al., (2016). Epigenetic Signatures of Cigarette Smoking. Circ Cardiovasc Genet 9, 436–447. https://doi.org/10.1161/CIRCGENETICS.116.001506

Johnson, M.R., Shkura, K., Langley, S.R., Delahaye-Duriez, A., Srivastava, P., et al., (2016). Systems genetics identifies a convergent gene network for cognition and neurodevelopmental disease. Nat Neurosci 19, 223–232. https://doi.org/10.1038/nn.4205

Kim, J., Valdés Hernández, M. del C., Royle, N.A., Maniega, S.M., Aribisala, B.S., et al., (2016). 3D shape analysis of the brain’s third ventricle using a midplane encoded symmetric template model. Computer Methods and Programs in Biomedicine 129, 51–62. https://doi.org/10.1016/j.cmpb.2016.02.014

Kuznetsova, K.A., Maniega, S.M., Ritchie, S.J., Cox, S.R., Storkey, A.J., et al., (2016). Brain white matter structure and information processing speed in healthy older age. Brain Struct Funct 221, 3223–3235. https://doi.org/10.1007/s00429-015-1097-5

Lapsley, H., Pattie, A., Starr, J.M., Deary, I.J., (2016). Life review in advanced age: qualitative research on the ‘start in life’ of 90-year-olds in the Lothian Birth Cohort 1921. BMC Geriatr 16, 74. https://doi.org/10.1186/s12877-016-0246-x

Lewis, G.J., Cox, S.R., Booth, T., Muñoz Maniega, S., Royle, N.A., et al., (2016). Trait conscientiousness and the personality meta-trait stability are associated with regional white matter microstructure. Social Cognitive and Affective Neuroscience 11, 1255–1261. https://doi.org/10.1093/scan/nsw037

Ligthart, S., Marzi, C., Aslibekyan, S., Mendelson, M.M., Conneely, K.N., et al., (2016). DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases. Genome Biol 17, 255. https://doi.org/10.1186/s13059-016-1119-5

Lin, Q., Weidner, C.I., Costa, I.G., Marioni, R.E., Ferreira, M.R.P., et al., (2016). DNA methylation levels at individual age-associated CpG sites can be indicative for life expectancy. aging 8, 394–401. https://doi.org/10.18632/aging.100908

Marioni, R.E., Harris, S.E., Shah, S., McRae, A.F., von Zglinicki, T., et al., (2016). The epigenetic clock and telomere length are independently associated with chronological age and mortality. Int. J. Epidemiol. 45, 424–432. https://doi.org/10.1093/ije/dyw041

Matteini, A.M., Tanaka, T., Karasik, D., Atzmon, G., Chou, W.-C., et al., (2016). GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. Aging Cell 15, 792–800. https://doi.org/10.1111/acel.12468

Natarajan, P., Bis, J.C., Bielak, L.F., Cox, A.J., Dörr, M., et al., (2016). Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis. Circ Cardiovasc Genet 9, 511–520. https://doi.org/10.1161/CIRCGENETICS.116.001572

North, T.-L., Ben-Shlomo, Y., Cooper, C., Deary, I.J., Gallacher, J., et al., (2016). A study of common Mendelian disease carriers across ageing British cohorts: meta-analyses reveal heterozygosity for alpha 1-antitrypsin deficiency increases respiratory capacity and height. J Med Genet 53, 280–288. https://doi.org/10.1136/jmedgenet-2015-103342

Okbay, A., Baselmans, B.M.L., De Neve, J.-E., Turley, P., Nivard, M.G., et al., (2016a). Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat Genet 48, 624–633. https://doi.org/10.1038/ng.3552

Okbay, A., Beauchamp, J.P., Fontana, M.A., Lee, J.J., Pers, T.H., et al., (2016b). Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533, 539–542. https://doi.org/10.1038/nature17671

Pearce, J., Shortt, N., Rind, E., Mitchell, R., (2016). Life Course, Green Space and Health: Incorporating Place into Life Course Epidemiology. IJERPH 13, 331. https://doi.org/10.3390/ijerph13030331

Ritchie, S.J., Dickie, D.A., Cox, S.R., Valdes Hernandez, M. del C., Corley, J., et al., (2016a). Brain volumetric changes and cognitive ageing during the eighth decade of life. Hum. Brain Mapp. 36, 4910–4925. https://doi.org/10.1002/hbm.22959

Ritchie, S.J., Tucker-Drob, E.M., Cox, S.R., Corley, J., Dykiert, D., et al., (2016b). Predictors of ageing-related decline across multiple cognitive functions. Intelligence 59, 115–126. https://doi.org/10.1016/j.intell.2016.08.007

Ritchie, S.J., Tucker-Drob, E.M., Starr, J.M., Deary, I.J., (2016c). Do Cognitive and Physical Functions Age in Concert from Age 70 to 76? Evidence from the Lothian Birth Cohort 1936. Span. J. Psychol. 19, E90. https://doi.org/10.1017/sjp.2016.85

Schumann, G., Liu, C., O’Reilly, P., Gao, H., Song, P., et al., (2016). KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference. Proc Natl Acad Sci USA 113, 14372–14377. https://doi.org/10.1073/pnas.1611243113

Surendran, P., Drenos, F., Young, R., Warren, H., Cook, J.P., et al., (2016). Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nat Genet 48, 1151–1161. https://doi.org/10.1038/ng.3654

Tajuddin, S.M., Schick, U.M., Eicher, J.D., Chami, N., Giri, A., et al., (2016). Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases. The American Journal of Human Genetics 99, 22–39. https://doi.org/10.1016/j.ajhg.2016.05.003

the CHARGE Consortium Hematology Working Group, (2016). Meta-analysis of rare and common exome chip variants identifies S1PR4 and other loci influencing blood cell traits. Nat Genet 48, 867–876. https://doi.org/10.1038/ng.3607

Valdés Hernández, M., Allerhand, M., Glatz, A., Clayson, L., Muñoz Maniega, S., et al., (2016). Do white matter hyperintensities mediate the association between brain iron deposition and cognitive abilities in older people?. Eur J Neurol 23, 1202–1209. https://doi.org/10.1111/ene.13006

van den Berg, S.M., de Moor, M.H.M., Verweij, K.J.H., Krueger, R.F., Luciano, M., et al., (2016). Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium. Behav Genet 46, 170–182. https://doi.org/10.1007/s10519-015-9735-5

van Loon, J., Dehghan, A., Weihong, T., Trompet, S., McArdle, W.L., et al., (2016). Genome-wide association studies identify genetic loci for low von Willebrand factor levels. Eur J Hum Genet 24, 1035–1040. https://doi.org/10.1038/ejhg.2015.222

Wang, X., Valdés Hernández, M. del C., Doubal, F., Chappell, F.M., Piper, R.J., et al., (2016). Development and initial evaluation of a semi-automatic approach to assess perivascular spaces on conventional magnetic resonance images. Journal of Neuroscience Methods 257, 34–44. https://doi.org/10.1016/j.jneumeth.2015.09.010

2015

Artigas, M.S., Wain, L.V., Miller, S., Kheirallah, A.K., Huffman, J.E., et al., (2015). Sixteen new lung function signals identified through 1000 Genomes Project reference panel imputation. Nat Commun 6, 8658. https://doi.org/10.1038/ncomms9658

Booth, T., Royle, N.A., Corley, J., Gow, A.J., Valdés Hernández, M. del C., et al., (2015). Association of allostatic load with brain structure and cognitive ability in later life. Neurobiology of Aging 36, 1390–1399. https://doi.org/10.1016/j.neurobiolaging.2014.12.020

Corley, J., Kyle, J.A.M., Starr, J.M., McNeill, G., Deary, I.J., (2015a). Dietary factors and biomarkers of systemic inflammation in older people: the Lothian Birth Cohort 1936. Br J Nutr 114, 1088–1098. https://doi.org/10.1017/S000711451500210X

Corley, J., Starr, J.M., Deary, I.J., (2015b). Serum cholesterol and cognitive functions: the Lothian Birth Cohort 1936. Int. Psychogeriatr. 27, 439–453. https://doi.org/10.1017/S1041610214001197

Cox, S.R., Bastin, M.E., Ferguson, K.J., Allerhand, M., Royle, N.A., et al., (2015a). Compensation or inhibitory failure? Testing hypotheses of age-related right frontal lobe involvement in verbal memory ability using structural and diffusion MRI. Cortex 63, 4–15. https://doi.org/10.1016/j.cortex.2014.08.001

Cox, S.R., Bastin, M.E., Ferguson, K.J., Maniega, S.M., MacPherson, S.E., et al., (2015b). Brain white matter integrity and cortisol in older men: the Lothian Birth Cohort 1936. Neurobiology of Aging 36, 257–264. https://doi.org/10.1016/j.neurobiolaging.2014.06.022

Cox, S.R., MacPherson, S.E., Ferguson, K.J., Royle, N.A., Maniega, S.M., et al., (2015c). Does white matter structure or hippocampal volume mediate associations between cortisol and cognitive ageing?. Psychoneuroendocrinology 62, 129–137. https://doi.org/10.1016/j.psyneuen.2015.08.005

Čukić, I., Mõttus, R., Luciano, M., Starr, J.M., Weiss, A., et al., (2015). Do personality traits moderate the manifestation of type 2 diabetes genetic risk?. Journal of Psychosomatic Research 79, 303–308. https://doi.org/10.1016/j.jpsychores.2015.07.003

Dahl Aslan, A.K., Starr, J.M., Pattie, A., Deary, I., (2015). Cognitive consequences of overweight and obesity in the ninth decade of life?. Age and Ageing 44, 59–65. https://doi.org/10.1093/ageing/afu108

Davies, G., Armstrong, N., Bis, J.C., Bressler, J., Chouraki, V., et al., (2015). Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949). Mol Psychiatry 20, 183–192. https://doi.org/10.1038/mp.2014.188

de Moor, M.H.M., van den Berg, S.M., Verweij, K.J.H., Krueger, R.F., Luciano, M., et al., (2015). Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder. JAMA Psychiatry 72, 642. https://doi.org/10.1001/jamapsychiatry.2015.0554

Debette, S., Ibrahim Verbaas, C.A., Bressler, J., Schuur, M., Smith, A., et al., (2015). Genome-wide Studies of Verbal Declarative Memory in Nondemented Older People: The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium. Biological Psychiatry 77, 749–763. https://doi.org/10.1016/j.biopsych.2014.08.027

del C. Valdés Hernández, M., Allan, J., Glatz, A., Kyle, J., Corley, J., et al., (2015a). Exploratory analysis of dietary intake and brain iron accumulation detected using magnetic resonance imaging in older individuals: The Lothian Birth Cohort 1936. J Nutr Health Aging 19, 64–69. https://doi.org/10.1007/s12603-014-0523-3

del C. Valdés Hernández, M., Maconick, L.C., Muñoz Maniega, S., Wang, X., Wiseman, S., et al., (2015b). A Comparison of Location of Acute Symptomatic vs. ‘Silent’ Small Vessel Lesions. International Journal of Stroke 10, 1044–1050. https://doi.org/10.1111/ijs.12558

del C. Valdés Hernández, M., Ritchie, S., Glatz, A., Allerhand, M., Muñoz Maniega, S., et al., (2015c). Brain iron deposits and lifespan cognitive ability. AGE 37, 100. https://doi.org/10.1007/s11357-015-9837-2

Gale, C.R., Eadie, E., Thomas, A., Bastin, M.E., Starr, J.M., et al., (2015). Intelligence in Childhood and Atherosclerosis of the Carotid and Peripheral Arteries in Later Life: The Lothian Birth Cohort 1936. PLoS ONE 10, e0125280. https://doi.org/10.1371/journal.pone.0125280

Gharib, S.A., Loth, D.W., Soler Artigas, M., Birkland, T.P., Wilk, J.B., et al., (2015). Integrative pathway genomics of lung function and airflow obstruction. Hum. Mol. Genet. 24, 6836–6848. https://doi.org/10.1093/hmg/ddv378

Glatz, A., Bastin, M.E., Kiker, A.J., Deary, I.J., Wardlaw, J.M., et al., (2015). Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities. NeuroImage 105, 332–346. https://doi.org/10.1016/j.neuroimage.2014.10.001

Henstridge, C.M., Jackson, R.J., Kim, J.M., Herrmann, A.G., Wright, A.K., et al., (2015). Post-mortem brain analyses of the Lothian Birth Cohort 1936: extending lifetime cognitive and brain phenotyping to the level of the synapse. acta neuropathol commun 3, 53. https://doi.org/10.1186/s40478-015-0232-0

Hibar, D.P., Stein, J.L., Renteria, M.E., Arias-Vasquez, A., Desrivières, S., et al., (2015). Common genetic variants influence human subcortical brain structures. Nature 520, 224–229. https://doi.org/10.1038/nature14101

Huffman, Jennifer E., Albrecht, E., Teumer, A., Mangino, M., Kapur, K., et al., (2015). Modulation of Genetic Associations with Serum Urate Levels by Body-Mass-Index in Humans. PLoS ONE 10, e0119752. https://doi.org/10.1371/journal.pone.0119752

Huffman, J. E., de Vries, P.S., Morrison, A.C., Sabater-Lleal, M., Kacprowski, T., et al., (2015). Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF. Blood 126, e19–e29. https://doi.org/10.1182/blood-2015-02-624551

Joshi, P.K., Esko, T., Mattsson, H., Eklund, N., Gandin, I., et al., (2015). Directional dominance on stature and cognition in diverse human populations. Nature 523, 459–462. https://doi.org/10.1038/nature14618

Karama, S., Ducharme, S., Corley, J., Chouinard-Decorte, F., Starr, J.M., et al., (2015). Cigarette smoking and thinning of the brain’s cortex. Mol Psychiatry 20, 778–785. https://doi.org/10.1038/mp.2014.187

Kato, N., Loh, M., Takeuchi, F., Verweij, N., Wang, X., et al., (2015). Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation. Nat Genet 47, 1282–1293. https://doi.org/10.1038/ng.3405

Kim, J., Valdes-Hernandez, M. del C., Royle, N.A., Park, J., (2015). Hippocampal Shape Modeling Based on a Progressive Template Surface Deformation and its Verification. IEEE Trans. Med. Imaging 34, 1242–1261. https://doi.org/10.1109/TMI.2014.2382581

Kochunov, P., Jahanshad, N., Marcus, D., Winkler, A., Sprooten, E., et al., (2015). Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data. NeuroImage 111, 300–311. https://doi.org/10.1016/j.neuroimage.2015.02.050

Lopez, L.M., Hill, W.D., Harris, S.E., Valdes Hernandez, M., Munoz Maniega, S., et al., (2015). Genes From a Translational Analysis Support a Multifactorial Nature of White Matter Hyperintensities. Stroke 46, 341–347. https://doi.org/10.1161/STROKEAHA.114.007649

Luciano, M., Marioni, R.E., Valdés Hernández, M., Muñoz Maniega, S., Hamilton, I.F., et al., (2015). Structural Brain MRI Trait Polygenic Score Prediction of Cognitive Abilities. Twin Res Hum Genet 18, 738–745. https://doi.org/10.1017/thg.2015.71

Lyall, D.M., Muñoz Maniega, S., Harris, S.E., Bastin, M.E., Murray, C., et al., (2015). APOE/TOMM40 Genetic Loci, White Matter Hyperintensities, and Cerebral Microbleeds. International Journal of Stroke 10, 1297–1300. https://doi.org/10.1111/ijs.12615

Maniega, S.M., Valdés Hernández, M.C., Clayden, J.D., Royle, N.A., Murray, C., et al., (2015). White matter hyperintensities and normal-appearing white matter integrity in the aging brain. Neurobiology of Aging 36, 909–918. https://doi.org/10.1016/j.neurobiolaging.2014.07.048

Marioni, R.E., Shah, S., McRae, A.F., Chen, B.H., Colicino, E., et al., (2015a). DNA methylation age of blood predicts all-cause mortality in later life. Genome Biol 16, 25. https://doi.org/10.1186/s13059-015-0584-6

Marioni, R.E., Shah, S., McRae, A.F., Ritchie, S.J., Muniz-Terrera, G., et al., (2015b). The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936. Int. J. Epidemiol. 44, 1388–1396. https://doi.org/10.1093/ije/dyu277

McGrory, S., Austin, E.J., Shenkin, S.D., Starr, J.M., Deary, I.J., (2015). From “aisle” to “labile”: A hierarchical National Adult Reading Test scale revealed by Mokken scaling.. Psychological Assessment 27, 932–943. https://doi.org/10.1037/pas0000091

Mõttus, R., Luciano, M., Sarr, J.M., McCarthy, M.I., Deary, I.J., (2015). Childhood cognitive ability moderates later-life manifestation of type 2 diabetes genetic risk.. Health Psychology 34, 915–919. https://doi.org/10.1037/hea0000184

Murray, A.L., Johnson, W., Gow, A.J., Deary, I.J., (2015). Disentangling wording and substantive factors in the Spiritual Well-Being Scale.. Psychology of Religion and Spirituality 7, 120–129. https://doi.org/10.1037/a0038001

North, T.-L., Palmer, T.M., Lewis, S.J., Cooper, R., Power, C., et al., (2015). Effect of smoking on physical and cognitive capability in later life: a multicohort study using observational and genetic approaches. BMJ Open 5, e008393. https://doi.org/10.1136/bmjopen-2015-008393

Parikh, J., Thrippleton, M.J., Murray, C., Armitage, P.A., Harris, B.A., et al., (2015). Proton spectroscopic imaging of brain metabolites in basal ganglia of healthy older adults. Magn Reson Mater Phy 28, 251–257. https://doi.org/10.1007/s10334-014-0465-0

Ritchie, S.J., Bastin, M.E., Tucker-Drob, E.M., Maniega, S.M., Engelhardt, L.E., et al., (2015a). Coupled Changes in Brain White Matter Microstructure and Fluid Intelligence in Later Life. J. Neurosci. 35, 8672–8682. https://doi.org/10.1523/JNEUROSCI.0862-15.2015

Ritchie, S.J., Bates, T.C., Deary, I.J., (2015b). Is education associated with improvements in general cognitive ability, or in specific skills?. Developmental Psychology 51, 573–582. https://doi.org/10.1037/a0038981

Ritchie, S.J., Booth, T., Valdés Hernández, M. del C., Corley, J., Maniega, S.M., et al., (2015c). Beyond a bigger brain: Multivariable structural brain imaging and intelligence. Intelligence 51, 47–56. https://doi.org/10.1016/j.intell.2015.05.001

Shah, S., Bonder, M.J., Marioni, R.E., Zhu, Z., McRae, A.F., et al., (2015). Improving Phenotypic Prediction by Combining Genetic and Epigenetic Associations. The American Journal of Human Genetics 97, 75–85. https://doi.org/10.1016/j.ajhg.2015.05.014

Staals, J., Booth, T., Morris, Z., Bastin, M.E., Gow, A.J., et al., (2015). Total MRI load of cerebral small vessel disease and cognitive ability in older people. Neurobiology of Aging 36, 2806–2811. https://doi.org/10.1016/j.neurobiolaging.2015.06.024

Taylor, A.M., MacGillivray, T.J., Henderson, R.D., Ilzina, L., Dhillon, B., et al., (2015). Retinal Vascular Fractal Dimension, Childhood IQ, and Cognitive Ability in Old Age: The Lothian Birth Cohort Study 1936. PLoS ONE 10, e0121119. https://doi.org/10.1371/journal.pone.0121119

Timofeeva, M.N., Kinnersley, B., Farrington, S.M., Whiffin, N., Palles, C., et al., (2015). Recurrent Coding Sequence Variation Explains Only A Small Fraction of the Genetic Architecture of Colorectal Cancer. Sci Rep 5, 16286. https://doi.org/10.1038/srep16286

Trampush, J.W., Lencz, T., Knowles, E., Davies, G., Guha, S., et al., (2015). Independent evidence for an association between general cognitive ability and a genetic locus for educational attainment: Genetic Overlap Between Cognition and Education. Am. J. Med. Genet. 168, 363–373. https://doi.org/10.1002/ajmg.b.32319

Verhaaren, B.F.J., Debette, S., Bis, J.C., Smith, J.A., Ikram, M.K., et al., (2015). Multiethnic Genome-Wide Association Study of Cerebral White Matter Hyperintensities on MRI. Circ Cardiovasc Genet 8, 398–409. https://doi.org/10.1161/CIRCGENETICS.114.000858

2014

Alfred, T., Ben-Shlomo, Y., Cooper, R., Hardy, R., Cooper, C., et al., (2014). Associations between APOE and low-density lipoprotein cholesterol genotypes and cognitive and physical capability: the HALCyon programme. AGE 36, 9673. https://doi.org/10.1007/s11357-014-9673-9

Aribisala, Benjamin S., Morris, Z., Eadie, E., Thomas, A., Gow, A., et al., (2014a). Blood Pressure, Internal Carotid Artery Flow Parameters, and Age-Related White Matter Hyperintensities. Hypertension 63, 1011–1018. https://doi.org/10.1161/HYPERTENSIONAHA.113.02735

Aribisala, Benjamin S., Royle, N.A., Maniega, S.M., Valdés Hernández, M.C., Murray, C., et al., (2014b). Quantitative multi-modal MRI of the Hippocampus and cognitive ability in community-dwelling older subjects. Cortex 53, 34–44. https://doi.org/10.1016/j.cortex.2013.12.012

Aribisala, B. S., Royle, N.A., Valdes Hernandez, M.C., Murray, C., Penke, L., et al., (2014). Potential effect of skull thickening on the associations between cognition and brain atrophy in ageing. Age and Ageing 43, 712–716. https://doi.org/10.1093/ageing/afu070

Aribisala, Benjamin S., Wiseman, S., Morris, Z., Valdés-Hernández, M.C., Royle, N.A., et al., (2014c). Circulating Inflammatory Markers Are Associated With Magnetic Resonance Imaging-Visible Perivascular Spaces But Not Directly With White Matter Hyperintensities. Stroke 45, 605–607. https://doi.org/10.1161/STROKEAHA.113.004059

Bak, T.H., Nissan, J.J., Allerhand, M.M., Deary, I.J., (2014). Does bilingualism influence cognitive aging?. Ann Neurol. 75, 959–963. https://doi.org/10.1002/ana.24158

Baumert, J., Huang, J., McKnight, B., Sabater-Lleal, M., Steri, M., et al., (2014). No Evidence for Genome-Wide Interactions on Plasma Fibrinogen by Smoking, Alcohol Consumption and Body Mass Index: Results from Meta-Analyses of 80,607 Subjects. PLoS ONE 9, e111156. https://doi.org/10.1371/journal.pone.0111156

Benyamin, B., Pourcain, Bs., Davis, O.S., Davies, G., Hansell, N.K., et al., (2014). Childhood intelligence is heritable, highly polygenic and associated with FNBP1L. Mol Psychiatry 19, 253–258. https://doi.org/10.1038/mp.2012.184

Bihlmeyer, N.A., Brody, J.A., Smith, A.V., Lunetta, K.L., Nalls, M., et al., (2014). Genetic diversity is a predictor of mortality in humans. BMC Genetics 15, 159. https://doi.org/10.1186/s12863-014-0159-7

Booth, T., Mõttus, R., Corley, J., Gow, A.J., Henderson, R.D., et al., (2014). Personality, health, and brain integrity: The Lothian Birth Cohort Study 1936.. Health Psychology 33, 1477–1486. https://doi.org/10.1037/hea0000012

Christoforou, A., Espeseth, T., Davies, G., Fernandes, C.P.D., Giddaluru, S., et al., (2014). GWAS-based pathway analysis differentiates between fluid and crystallized intelligence. Genes, Brain and Behavior 13, 663–674. https://doi.org/10.1111/gbb.12152

Cooper, R., Stafford, M., Hardy, R., Aihie Sayer, A., Ben-Shlomo, Y., et al., (2014). Physical capability and subsequent positive mental wellbeing in older people: findings from five HALCyon cohorts. AGE 36, 445–456. https://doi.org/10.1007/s11357-013-9553-8

Cox, S.R., Ferguson, K.J., Royle, N.A., Shenkin, S.D., MacPherson, S.E., et al., (2014a). A systematic review of brain frontal lobe parcellation techniques in magnetic resonance imaging. Brain Struct Funct 219, 1–22. https://doi.org/10.1007/s00429-013-0527-5

Cox, S.R., MacPherson, S.E., Ferguson, K.J., Nissan, J., Royle, N.A., et al., (2014b). Correlational structure of ‘frontal’ tests and intelligence tests indicates two components with asymmetrical neurostructural correlates in old age. Intelligence 46, 94–106. https://doi.org/10.1016/j.intell.2014.05.006

Davies, G., Harris, S.E., Reynolds, C.A., Payton, A., Knight, H.M., et al., (2014). A genome-wide association study implicates the APOE locus in nonpathological cognitive ageing. Mol Psychiatry 19, 76–87. https://doi.org/10.1038/mp.2012.159

Deary, I.J., (2014). The Stability of Intelligence From Childhood to Old Age. Curr Dir Psychol Sci 23, 239–245. https://doi.org/10.1177/0963721414536905

del C. Valdés Hernández, M., Glatz, A., Kiker, A.J., Dickie, D.A., Aribisala, B.S., et al., (2014). Differentiation of calcified regions and iron deposits in the ageing brain on conventional structural MR images: Calcium and Iron on Conventional MRI. J. Magn. Reson. Imaging 40, 324–333. https://doi.org/10.1002/jmri.24348

Dodds, R.M., Syddall, H.E., Cooper, R., Benzeval, M., Deary, I.J., et al., (2014). Grip Strength across the Life Course: Normative Data from Twelve British Studies. PLoS ONE 9, e113637. https://doi.org/10.1371/journal.pone.0113637

Gardner, M., Bann, D., Wiley, L., Cooper, R., Hardy, R., et al., (2014). Gender and telomere length: Systematic review and meta-analysis. Experimental Gerontology 51, 15–27. https://doi.org/10.1016/j.exger.2013.12.004

Harris, S.E., Davies, G., Luciano, M., Payton, A., Fox, H.C., et al., (2014). Polygenic Risk for Alzheimer’s Disease is not Associated with Cognitive Ability or Cognitive Aging in Non-Demented Older People. JAD 39, 565–574. https://doi.org/10.3233/JAD-131058

Hernández, M.C.V., Piper, R.J., Bastin, M.E., Royle, N.A., Maniega, S.M., et al., (2014). Morphologic, Distributional, Volumetric, and Intensity Characterization of Periventricular Hyperintensities. AJNR Am J Neuroradiol 35, 55–62. https://doi.org/10.3174/ajnr.A3612

Hill, W D, Davies, G., van de Lagemaat, L.N., Christoforou, A., Marioni, R.E., et al., (2014). Human cognitive ability is influenced by genetic variation in components of postsynaptic signalling complexes assembled by NMDA receptors and MAGUK proteins. Transl Psychiatry 4, e341–e341. https://doi.org/10.1038/tp.2013.114

Hill, W. David, de Leeuw, C., Davies, G., Liewald, D.C.M., Payton, A., et al., (2014). Functional Gene Group Analysis Indicates No Role for Heterotrimeric G Proteins in Cognitive Ability. PLoS ONE 9, e91690. https://doi.org/10.1371/journal.pone.0091690

Karama, S., Bastin, M.E., Murray, C., Royle, N.A., Penke, L., et al., (2014). Childhood cognitive ability accounts for associations between cognitive ability and brain cortical thickness in old age. Mol Psychiatry 19, 555–559. https://doi.org/10.1038/mp.2013.64

Laukka, E.J., Starr, J.M., Deary, I.J., (2014). Lower ankle-brachial index is related to worse cognitive performance in old age.. Neuropsychology 28, 281–289. https://doi.org/10.1037/neu0000028

Lencz, T., Knowles, E., Davies, G., Guha, S., Liewald, D.C., et al., (2014). Molecular genetic evidence for overlap between general cognitive ability and risk for schizophrenia: a report from the Cognitive Genomics consorTium (COGENT). Mol Psychiatry 19, 168–174. https://doi.org/10.1038/mp.2013.166

Loth, D.W., Artigas, M.S., Gharib, S.A., Wain, L.V., Franceschini, N., et al., (2014). Genome-wide association analysis identifies six new loci associated with forced vital capacity. Nat Genet 46, 669–677. https://doi.org/10.1038/ng.3011

Luciano, M., Mõttus, R., Harris, S.E., Davies, G., Payton, A., et al., (2014). Predicting cognitive ability in ageing cohorts using Type 2 diabetes genetic risk. Diabet. Med. 31, 714–720. https://doi.org/10.1111/dme.12389

Lyall, D M, Harris, S.E., Bastin, M.E., Muñoz Maniega, S., Murray, C., et al., (2014). Are APOE ɛ genotype and TOMM40 poly-T repeat length associations with cognitive ageing mediated by brain white matter tract integrity?. Translational Psychiatry 4, e449.

Lyall, Donald M., Harris, S.E., Bastin, M.E., Muñoz Maniega, S., Murray, C., et al., (2014). Alzheimer’s disease susceptibility genes APOE and TOMM40, and brain white matter integrity in the Lothian Birth Cohort 1936. Neurobiology of Aging 35, 1513.e25-1513.e33. https://doi.org/10.1016/j.neurobiolaging.2014.01.006

Marioni, R.E., Penke, L., Davies, G., Huffman, J.E., Hayward, C., et al., (2014). The total burden of rare, non-synonymous exome genetic variants is not associated with childhood or late-life cognitive ability. Proceedings of the Royal Society B: Biological Sciences 281, 20140117–20140117. https://doi.org/10.1098/rspb.2014.0117

Mõttus, R., Johnson, W., Murray, C., Wolf, M.S., Starr, J.M., et al., (2014). Towards understanding the links between health literacy and physical health.. Health Psychology 33, 164–173. https://doi.org/10.1037/a0031439

Paterson, L., Gow, A.J., Deary, I.J., (2014). School reform and opportunity throughout the lifecourse: the Lothian Birth Cohort 1936. School Effectiveness and School Improvement 25, 105–125. https://doi.org/10.1080/09243453.2013.772903

Peloso, G.M., Auer, P.L., Bis, J.C., Voorman, A., Morrison, A.C., et al., (2014). Association of Low-Frequency and Rare Coding-Sequence Variants with Blood Lipids and Coronary Heart Disease in 56,000 Whites and Blacks. The American Journal of Human Genetics 94, 223–232. https://doi.org/10.1016/j.ajhg.2014.01.009

Perry, J.R.B., Hsu, Y.-H., Chasman, D.I., Johnson, A.D., Elks, C., et al., (2014). DNA mismatch repair gene MSH6 implicated in determining age at natural menopause. Human Molecular Genetics 23, 2490–2497. https://doi.org/10.1093/hmg/ddt620

Rietveld, C.A., Esko, T., Davies, G., Pers, T.H., Turley, P., et al., (2014). Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proceedings of the National Academy of Sciences 111, 13790–13794. https://doi.org/10.1073/pnas.1404623111

Ritchie, S.J., Bates, T.C., Corley, J., McNeill, G., Davies, G., et al., (2014a). Alcohol consumption and lifetime change in cognitive ability: a gene × environment interaction study. AGE 36, 9638. https://doi.org/10.1007/s11357-014-9638-z

Ritchie, S.J., Gow, A.J., Deary, I.J., (2014b). Religiosity is negatively associated with later-life intelligence, but not with age-related cognitive decline. Intelligence 46, 9–17. https://doi.org/10.1016/j.intell.2014.04.005

Ritchie, S.J., Tucker-Drob, E.M., Deary, I.J., (2014c). A strong link between speed of visual discrimination and cognitive ageing. Current Biology 24, R681–R683. https://doi.org/10.1016/j.cub.2014.06.012

Shah, S., McRae, A.F., Marioni, R.E., Harris, S.E., Gibson, J., et al., (2014). Genetic and environmental exposures constrain epigenetic drift over the human life course. Genome Res. 24, 1725–1733. https://doi.org/10.1101/gr.176933.114

Shenkin, S. D., Laidlaw, K., Allerhand, M., Mead, G.E., Starr, J.M., et al., (2014). Life course Influences of Physical and Cognitive Function and Personality on Attitudes to Ageing in the Lothian Birth cohort 1936. Age and Ageing 43, 32–32. https://doi.org/10.1093/ageing/afu045

Shenkin, Susan D., Laidlaw, K., Allerhand, M., Mead, G.E., Starr, J.M., et al., (2014a). Life course influences of physical and cognitive function and personality on attitudes to aging in the Lothian Birth Cohort 1936. Int. Psychogeriatr. 26, 1417–1430. https://doi.org/10.1017/S1041610214000301

Shenkin, Susan D., Watson, R., Laidlaw, K., Starr, J.M., Deary, I.J., (2014b). The Attitudes to Ageing Questionnaire: Mokken Scaling Analysis. PLoS ONE 9, e99100. https://doi.org/10.1371/journal.pone.0099100

Smart, E.L., Gow, A.J., Deary, I.J., (2014). Occupational complexity and lifetime cognitive abilities. Neurology 83, 2285–2291. https://doi.org/10.1212/WNL.0000000000001075

Tang, W., Kowgier, M., Loth, D.W., Soler Artigas, M., Joubert, B.R., et al., (2014). Large-Scale Genome-Wide Association Studies and Meta-Analyses of Longitudinal Change in Adult Lung Function. PLoS ONE 9, e100776. https://doi.org/10.1371/journal.pone.0100776

Thompson, P.M., Stein, J.L., Medland, S.E., Hibar, D.P., Vasquez, A.A., et al., (2014). The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data. Brain Imaging and Behavior. https://doi.org/10.1007/s11682-013-9269-5

Thomson, P.A., Parla, J.S., McRae, A.F., Kramer, M., Ramakrishnan, K., et al., (2014). 708 Common and 2010 rare DISC1 locus variants identified in 1542 subjects: analysis for association with psychiatric disorder and cognitive traits. Mol Psychiatry 19, 668–675. https://doi.org/10.1038/mp.2013.68

Tucker-Drob, E.M., Briley, D.A., Starr, J.M., Deary, I.J., (2014). Structure and correlates of cognitive aging in a narrow age cohort.. Psychology and Aging 29, 236–249. https://doi.org/10.1037/a0036187

Underwood, E., (2014). Starting young. Science 346, 568–571. https://doi.org/10.1126/science.346.6209.568

van den Berg, S.M., de Moor, M.H.M., McGue, M., Pettersson, E., Terracciano, A., et al., (2014). Harmonization of Neuroticism and Extraversion phenotypes across inventories and cohorts in the Genetics of Personality Consortium: an application of Item Response Theory. Behav Genet 44, 295–313. https://doi.org/10.1007/s10519-014-9654-x

Wardlaw, J.M., Allerhand, M., Doubal, F.N., Valdes Hernandez, M., Morris, Z., et al., (2014). Vascular risk factors, large-artery atheroma, and brain white matter hyperintensities. Neurology 82, 1331–1338. https://doi.org/10.1212/WNL.0000000000000312

Zammit, A.R., Starr, J.M., Johnson, W., Deary, I.J., (2014). Patterns and associates of cognitive function, psychosocial wellbeing and health in the Lothian Birth Cohort 1936. BMC Geriatr 14, 53. https://doi.org/10.1186/1471-2318-14-53

2013

Alfred, T., Ben-Shlomo, Y., Cooper, R., Hardy, R., Cooper, C., et al., (2013a). Genetic markers of bone and joint health and physical capability in older adults: the HALCyon programme. Bone 52, 278–285. https://doi.org/10.1016/j.bone.2012.10.004

Alfred, T., Ben-Shlomo, Y., Cooper, R., Hardy, R., Deary, I.J., et al., (2013b). Associations between a Polymorphism in the Pleiotropic GCKR and Age-Related Phenotypes: The HALCyon Programme. PLoS ONE 8, e70045. https://doi.org/10.1371/journal.pone.0070045

Alfred, T., Ben-Shlomo, Y., Cooper, R., Hardy, R., Deary, I.J., et al., (2013c). Genetic Variants Influencing Biomarkers of Nutrition Are Not Associated with Cognitive Capability in Middle-Aged and Older Adults. The Journal of Nutrition 143, 606–612. https://doi.org/10.3945/jn.112.171520

Amin, N., Hottenga, J.-J., Hansell, N.K., Janssens, A.C.J., de Moor, M.H., et al., (2013). Refining genome-wide linkage intervals using a meta-analysis of genome-wide association studies identifies loci influencing personality dimensions. Eur J Hum Genet 21, 876–882. https://doi.org/10.1038/ejhg.2012.263

Aribisala, B.S., Cox, S.R., Ferguson, K.J., MacPherson, S.E., MacLullich, A.M.J., et al., (2013a). Assessing the Performance of Atlas-Based Prefrontal Brain Parcellation in an Aging Cohort:. Journal of Computer Assisted Tomography 37, 257–264. https://doi.org/10.1097/RCT.0b013e31828004ea

Aribisala, B.S., Gow, A.J., Bastin, M.E., del Carmen Valdés Hernández, M., Murray, C., et al., (2013b). Associations between Level and Change in Physical Function and Brain Volumes. PLoS ONE 8, e80386. https://doi.org/10.1371/journal.pone.0080386

Aribisala, B.S., Valdés Hernández, M.C., Royle, N.A., Morris, Z., Muñoz Maniega, S., et al., (2013c). Brain atrophy associations with white matter lesions in the ageing brain: the Lothian Birth Cohort 1936. Eur Radiol 23, 1084–1092. https://doi.org/10.1007/s00330-012-2677-x

Booth, Tom, Bastin, M.E., Penke, L., Maniega, S.M., Murray, C., et al., (2013a). Brain white matter tract integrity and cognitive abilities in community-dwelling older people: The Lothian Birth Cohort, 1936.. Neuropsychology 27, 595–607. https://doi.org/10.1037/a0033354

Booth, Tom, Deary, I.J., Starr, J.M., (2013b). Thyroid stimulating hormone, free thyroxine and cognitive ability in old age: The Lothian birth cohort study 1936. Psychoneuroendocrinology 38, 597–601. https://doi.org/10.1016/j.psyneuen.2012.07.018

Booth, Tom, Starr, J.M., Deary, I., (2013c). Modeling multisystem biological risk in later life: Allostatic load in the lothian birth cohort study 1936: Modeling of Allostatic Load. Am. J. Hum. Biol. 25, 538–543. https://doi.org/10.1002/ajhb.22406

Booth, Thomas, Starr, J.M., Deary, I., (2013). Modeling multisystem biological risk in later life: Allostatic load in the lothian birth cohort study 1936: Modeling of Allostatic Load. American Journal of Human Biology 25, 538–543. https://doi.org/10.1002/ajhb.v25.4

Corley, J., Starr, J.M., McNeill, G., Deary, I.J., (2013). Do dietary patterns influence cognitive function in old age?. Int. Psychogeriatr. 25, 1393–1407. https://doi.org/10.1017/S1041610213000793

Deary, I.J., (2013). An intelligent Scotland: Professor Sir godfrey Thomson and the Scottish Mental Surveys of 1932 and 1947. JBA 1, 95–131. https://doi.org/10.5871/jba/001.095

Deary, I.J., Pattie, A., Starr, J.M., (2013). The Stability of Intelligence From Age 11 to Age 90 Years: The Lothian Birth Cohort of 1921. Psychol Sci 24, 2361–2368. https://doi.org/10.1177/0956797613486487

del C. Valdés Hernández, M., Piper, R.J., Wang, X., Deary, I.J., Wardlaw, J.M., (2013). Towards the automatic computational assessment of enlarged perivascular spaces on brain magnetic resonance images: A systematic review: Computational Assessment of Perivascular Spaces. J. Magn. Reson. Imaging 38, 774–785. https://doi.org/10.1002/jmri.24047

Donohoe, G., Deary, I.J., Glahn, D.C., Malhotra, A.K., Burdick, K.E., (2013). Neurocognitive phenomics: examining the genetic basis of cognitive abilities. Psychol. Med. 43, 2027–2036. https://doi.org/10.1017/S0033291712002656

Dykiert, D., Deary, I.J., (2013). Retrospective validation of WTAR and NART scores as estimators of prior cognitive ability using the Lothian Birth Cohort 1936.. Psychological Assessment 25, 1361–1366. https://doi.org/10.1037/a0033623

Gardner, M.P., Martin-Ruiz, C., Cooper, R., Hardy, R., Sayer, A.A., et al., (2013). Telomere Length and Physical Performance at Older Ages: An Individual Participant Meta-Analysis. PLoS ONE 8, e69526. https://doi.org/10.1371/journal.pone.0069526

Glatz, A., Valdés Hernández, M.C., Kiker, A.J., Bastin, M.E., Deary, I.J., et al., (2013). Characterization of multifocal T2*-weighted MRI hypointensities in the basal ganglia of elderly, community-dwelling subjects. NeuroImage 82, 470–480. https://doi.org/10.1016/j.neuroimage.2013.06.013

Gow, A.J., Corley, J., Starr, J.M., Deary, I.J., (2013a). Which Social Network or Support Factors are Associated with Cognitive Abilities in Old Age?. Gerontology 59, 454–463. https://doi.org/10.1159/000351265

Gow, A.J., Firth, C.M., Harrison, R., Starr, J.M., Moss, P., et al., (2013b). Cytomegalovirus infection and cognitive abilities in old age. Neurobiology of Aging 34, 1846–1852. https://doi.org/10.1016/j.neurobiolaging.2013.01.011

Hardy, R., Cooper, R., Aihie Sayer, A., Ben-Shlomo, Y., Cooper, C., et al., (2013). Body Mass Index, Muscle Strength and Physical Performance in Older Adults from Eight Cohort Studies: The HALCyon Programme. PLoS ONE 8, e56483. https://doi.org/10.1371/journal.pone.0056483

Hope, D., Bates, T., Penke, L., Gow, A.J., Starr, J.M., et al., (2013). Symmetry of the face in old age reflects childhood social status. Economics & Human Biology 11, 236–244. https://doi.org/10.1016/j.ehb.2011.06.006

Jahanshad, N., Kochunov, P.V., Sprooten, E., Mandl, R.C., Nichols, T.E., et al., (2013). Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA–DTI working group. NeuroImage 81, 455–469. https://doi.org/10.1016/j.neuroimage.2013.04.061

Kilgour, A.H., Firth, C., Harrison, R., Moss, P., Bastin, M.E., et al., (2013). Seropositivity for CMV and IL-6 levels are associated with grip strength and muscle size in the elderly. Immun Ageing 10, 33. https://doi.org/10.1186/1742-4933-10-33

Köttgen, A., Albrecht, E., Teumer, A., Vitart, V., Krumsiek, J., et al., (2013). Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. Nat Genet 45, 145–154. https://doi.org/10.1038/ng.2500

Laude, A., Lascaratos, G., Henderson, R.D., Starr, J.M., Deary, I.J., et al., (2013). Retinal nerve fiber layer thickness and cognitive ability in older people: the Lothian Birth Cohort 1936 study. BMC Ophthalmol 13, 28. https://doi.org/10.1186/1471-2415-13-28

Lyall, D.M., Lopez, L.M., Bastin, M.E., Maniega, S.M., Penke, L., et al., (2013a). ADRB2, brain white matter integrity and cognitive ageing in the Lothian Birth Cohort 1936. Behav Genet 43, 13–23. https://doi.org/10.1007/s10519-012-9570-x

Lyall, D.M., Royle, N.A., Harris, S.E., Bastin, M.E., Maniega, S.M., et al., (2013b). Alzheimer’s Disease Susceptibility Genes APOE and TOMM40, and Hippocampal Volumes in the Lothian Birth Cohort 1936. PLoS ONE 8, e80513. https://doi.org/10.1371/journal.pone.0080513

McIntosh, A. M., Bastin, M.E., Luciano, M., Maniega, S.M., del C.Valdés Hernández, M., et al., (2013). Neuroticism, depressive symptoms and white-matter integrity in the Lothian Birth Cohort 1936. Psychol. Med. 43, 1197–1206. https://doi.org/10.1017/S003329171200150X

McIntosh, Andrew M., Gow, A., Luciano, M., Davies, G., Liewald, D.C., et al., (2013). Polygenic Risk for Schizophrenia Is Associated with Cognitive Change Between Childhood and Old Age. Biological Psychiatry 73, 938–943. https://doi.org/10.1016/j.biopsych.2013.01.011

Mõttus, R., Luciano, M., Starr, J.M., Deary, I.J., (2013a). Diabetes and life-long cognitive ability. Journal of Psychosomatic Research 75, 275–278. https://doi.org/10.1016/j.jpsychores.2013.06.032

Mõttus, R., Luciano, M., Starr, J.M., Pollard, M.C., Deary, I.J., (2013b). Personality Traits and Inflammation in Men and Women in Their Early 70s: The Lothian Birth Cohort 1936 Study of Healthy Aging. Psychosomatic Medicine 75, 11–19. https://doi.org/10.1097/PSY.0b013e31827576cc

Mõttus, R., McNeill, G., Jia, X., Craig, L.C.A., Starr, J.M., et al., (2013c). The associations between personality, diet and body mass index in older people.. Health Psychology 32, 353–360. https://doi.org/10.1037/a0025537

Mõttus, R., Starr, J.M., Deary, I.J., (2013d). Predicting tooth loss in older age: Interplay between personality and socioeconomic status.. Health Psychology 32, 223–226. https://doi.org/10.1037/a0027357

O’Seaghdha, C.M., Wu, H., Yang, Q., Kapur, K., Guessous, I., et al., (2013). Meta-Analysis of Genome-Wide Association Studies Identifies Six New Loci for Serum Calcium Concentrations. PLoS Genet 9, e1003796. https://doi.org/10.1371/journal.pgen.1003796

Porcu, E., Medici, M., Pistis, G., Volpato, C.B., Wilson, S.G., et al., (2013). A Meta-Analysis of Thyroid-Related Traits Reveals Novel Loci and Gender-Specific Differences in the Regulation of Thyroid Function. PLoS Genet 9, e1003266. https://doi.org/10.1371/journal.pgen.1003266

Rietveld, C.A., Medland, S.E., Derringer, J., Yang, J., Esko, T., et al., (2013). GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment. Science 340, 1467–1471. https://doi.org/10.1126/science.1235488

Ritchie, S.J., Bates, T.C., Der, G., Starr, J.M., Deary, I.J., (2013). Education is associated with higher later life IQ scores, but not with faster cognitive processing speed.. Psychology and Aging 28, 515–521. https://doi.org/10.1037/a0030820

Rowe, S.J., Rowlatt, A., Davies, G., Harris, S.E., Porteous, D.J., et al., (2013). Complex Variation in Measures of General Intelligence and Cognitive Change. PLoS ONE 8, e81189. https://doi.org/10.1371/journal.pone.0081189

Royle, Natalie A., Booth, T., Valdés Hernández, M.C., Penke, L., Murray, C., et al., (2013). Estimated maximal and current brain volume predict cognitive ability in old age. Neurobiology of Aging 34, 2726–2733. https://doi.org/10.1016/j.neurobiolaging.2013.05.015

Royle, N.A., Hernández, M.C.V., Maniega, S.M., Arabisala, B.S., Bastin, M.E., et al., (2013). Influence of thickening of the inner skull table on intracranial volume measurement in older people. Magnetic Resonance Imaging 31, 918–922. https://doi.org/10.1016/j.mri.2013.01.012

Sabater-Lleal, M., Huang, J., Chasman, D., Naitza, S., Dehghan, A., et al., (2013). Multiethnic Meta-Analysis of Genome-Wide Association Studies in >100 000 Subjects Identifies 23 Fibrinogen-Associated Loci but No Strong Evidence of a Causal Association Between Circulating Fibrinogen and Cardiovascular Disease. Circulation 128, 1310–1324. https://doi.org/10.1161/CIRCULATIONAHA.113.002251

Sandeman, E.M., Hernandez, M. del C.V., Morris, Z., Bastin, M.E., Murray, C., et al., (2013). Incidental Findings on Brain MR Imaging in Older Community-Dwelling Subjects Are Common but Serious Medical Consequences Are Rare: A Cohort Study. PLoS ONE 8, e71467. https://doi.org/10.1371/journal.pone.0071467

Thun, G.A., Imboden, M., Ferrarotti, I., Kumar, A., Obeidat, M., et al., (2013). Causal and Synthetic Associations of Variants in the SERPINA Gene Cluster with Alpha1-antitrypsin Serum Levels. PLoS Genet 9, e1003585. https://doi.org/10.1371/journal.pgen.1003585

Valdés Hernández, M. del C., Booth, T., Murray, C., Gow, A.J., Penke, L., et al., (2013a). Brain white matter damage in aging and cognitive ability in youth and older age. Neurobiology of Aging 34, 2740–2747. https://doi.org/10.1016/j.neurobiolaging.2013.05.032

Valdés Hernández, M. del C., Morris, Z., Dickie, D.A., Royle, N.A., Muñoz Maniega, S., et al., (2013b). Close Correlation between Quantitative and Qualitative Assessments of White Matter Lesions. Neuroepidemiology 40, 13–22. https://doi.org/10.1159/000341859

von Stumm, S., Deary, I.J., (2013). Intellect and cognitive performance in the Lothian Birth Cohort 1936.. Psychology and Aging 28, 680–684. https://doi.org/10.1037/a0033924

2012

Alfred, T., Ben-Shlomo, Y., Cooper, R., Hardy, R., Cooper, C., et al., (2012). A Multi-Cohort Study of Polymorphisms in the GH/IGF Axis and Physical Capability: The HALCyon Programme. PLoS ONE 7, e29883. https://doi.org/10.1371/journal.pone.0029883

Brett, C.E., Gow, A.J., Corley, J., Pattie, A., Starr, J.M., et al., (2012). Psychosocial factors and health as determinants of quality of life in community-dwelling older adults. Qual Life Res 21, 505–516. https://doi.org/10.1007/s11136-011-9951-2

Brown, L.A., Brockmole, J.R., Gow, A.J., Deary, I.J., (2012). Processing Speed and Visuospatial Executive Function Predict Visual Working Memory Ability in Older Adults. Experimental Aging Research 38, 1–19. https://doi.org/10.1080/0361073X.2012.636722

Cipriani, V., Leung, H.-T., Plagnol, V., Bunce, C., Khan, J.C., et al., (2012). Genome-wide association study of age-related macular degeneration identifies associated variants in the TNXB–FKBPL–NOTCH4 region of chromosome 6p21.3. Human Molecular Genetics 21, 4138–4150. https://doi.org/10.1093/hmg/dds225

Corley, J., Gow, A.J., Starr, J.M., Deary, I.J., (2012). Smoking, childhood IQ, and cognitive function in old age. Journal of Psychosomatic Research 73, 132–138. https://doi.org/10.1016/j.jpsychores.2012.03.006

de Moor, M.H.M., Costa, P.T., Terracciano, A., Krueger, R.F., de Geus, E.J.C., et al., (2012). Meta-analysis of genome-wide association studies for personality. Mol Psychiatry 17, 337–349. https://doi.org/10.1038/mp.2010.128

Deary, I. J., Gow, A.J., Pattie, A., Starr, J.M., (2012a). Cohort Profile: The Lothian Birth Cohorts of 1921 and 1936. International Journal of Epidemiology 41, 1576–1584. https://doi.org/10.1093/ije/dyr197

Deary, I. J., Starr, J.M., Johnson, W., (2012b). Cognitive and Bio-Psychosocial Wellbeing in the Lothian Birth Cohort 1936. European Journal of Public Health 22, 102–103.

Deary, Ian J., Yang, J., Davies, G., Harris, S.E., Tenesa, A., et al., (2012). Genetic contributions to stability and change in intelligence from childhood to old age. Nature 482, 212–215. https://doi.org/10.1038/nature10781

Dunlop, M.G., Dobbins, S.E., Farrington, S.M., Jones, A.M., Palles, C., et al., (2012). Common variation near CDKN1A, POLD3 and SHROOM2 influences colorectal cancer risk. Nat Genet 44, 770–776. https://doi.org/10.1038/ng.2293

Dykiert, D., Bates, T.C., Gow, A.J., Penke, L., Starr, J.M., et al., (2012). Predicting Mortality From Human Faces. Psychosomatic Medicine 74, 560–566. https://doi.org/10.1097/PSY.0b013e318259c33f

Franceschini, N., van Rooij, F.J.A., Prins, B.P., Feitosa, M.F., Karakas, M., et al., (2012). Discovery and Fine Mapping of Serum Protein Loci through Transethnic Meta-analysis. The American Journal of Human Genetics 91, 744–753. https://doi.org/10.1016/j.ajhg.2012.08.021

Gale, C.R., Cooper, R., Craig, L., Elliott, J., Kuh, D., et al., (2012). Cognitive Function in Childhood and Lifetime Cognitive Change in Relation to Mental Wellbeing in Four Cohorts of Older People. PLoS ONE 7, e44860. https://doi.org/10.1371/journal.pone.0044860

Gerrish, A., Russo, G., Richards, A., Moskvina, V., Ivanov, D., et al., (2012). The Role of Variation at AβPP, PSEN1, PSEN2, and MAPT in Late Onset Alzheimer’s Disease. JAD 28, 377–387. https://doi.org/10.3233/JAD-2011-110824

Gow, A. J., Bastin, M.E., Munoz Maniega, S., Valdes Hernandez, M.C., Morris, Z., et al., (2012). Neuroprotective lifestyles and the aging brain: Activity, atrophy, and white matter integrity. Neurology 79, 1802–1808. https://doi.org/10.1212/WNL.0b013e3182703fd2

Gow, Alan J., Corley, J., Starr, J.M., Deary, I.J., (2012a). Reverse causation in activity-cognitive ability associations: The Lothian Birth Cohort 1936.. Psychology and Aging 27, 250–255. https://doi.org/10.1037/a0024144

Gow, Alan J., Johnson, W., Mishra, G., Richards, M., Kuh, D., et al., (2012b). Is age kinder to the initially more able?: Yes, and no. Intelligence 40, 49–59. https://doi.org/10.1016/j.intell.2011.10.007

Grinton, M.E., Laude, A., MacGillivray, T., Henderson, R., Starr, J.M., et al., (2012). The Association Between Retinal Vessel Morphology and Retinal Nerve Fiber Layer Thickness in an Elderly Population. Ophthalmic Surg Lasers Imaging 43, S61–S66. https://doi.org/10.3928/15428877-20120802-03

Hagger-Johnson, G., Mõttus, R., Craig, L.C.A., Starr, J.M., Deary, I.J., (2012). Pathways from childhood intelligence and socioeconomic status to late-life cardiovascular disease risk.. Health Psychology 31, 403–412. https://doi.org/10.1037/a0026775

Hamilton, G., Harris, S.E., Davies, G., Liewald, D.C., Tenesa, A., et al., (2012). The role of ECE1 variants in cognitive ability in old age and Alzheimer’s disease risk. Am. J. Med. Genet. 159B, 696–709. https://doi.org/10.1002/ajmg.b.32073

Harris, S.E., Martin-Ruiz, C., von Zglinicki, T., Starr, J.M., Deary, I.J., (2012). Telomere length and aging biomarkers in 70-year-olds: the Lothian Birth Cohort 1936. Neurobiology of Aging 33, 1486.e3-1486.e8. https://doi.org/10.1016/j.neurobiolaging.2010.11.013

Hernandez, M. del C.V., Royle, N.A., Jackson, M.R., Maniega, S.M., Penke, L., et al., (2012). Color Fusion of Magnetic Resonance Images Improves Intracranial Volume Measurement in Studies of Aging. OJRad 02, 1–9. https://doi.org/10.4236/ojrad.2012.21001

Hope, D., Bates, T., Gow, A.J., Starr, J.M., Deary, I.J., (2012). Minor Physical Anomalies, Intelligence, and Cognitive Decline. Experimental Aging Research 38, 265–278. https://doi.org/10.1080/0361073X.2012.672126

Johnson, W., Gow, A.J., Corley, J., Redmond, P., Henderson, R., et al., (2012). Can we spot deleterious ageing in two waves of data? The Lothian Birth Cohort 1936 from ages 70 to 73. LLCS. https://doi.org/10.14301/llcs.v3i3.198

Kilgour, A.H.M., Subedi, D., Gray, C.D., Deary, I.J., Lawrie, S.M., et al., (2012). Design and Validation of a Novel Method to Measure Cross-Sectional Area of Neck Muscles Included during Routine MR Brain Volume Imaging. PLoS ONE 7, e34444. https://doi.org/10.1371/journal.pone.0034444

Lefevre, C.E., Lewis, G.J., Bates, T.C., Dzhelyova, M., Coetzee, V., et al., (2012). No evidence for sexual dimorphism of facial width-to-height ratio in four large adult samples. Evolution and Human Behavior 33, 623–627. https://doi.org/10.1016/j.evolhumbehav.2012.03.002

Lopez, Lorna M., Bastin, M.E., Maniega, S.M., Penke, L., Davies, G., et al., (2012). A genome-wide search for genetic influences and biological pathways related to the brain’s white matter integrity. Neurobiology of Aging 33, 1847.e1-1847.e14. https://doi.org/10.1016/j.neurobiolaging.2012.02.003

Lopez, Lorna M, Harris, S.E., Luciano, M., Liewald, D., Davies, G., et al., (2012). Evolutionary conserved longevity genes and human cognitive abilities in elderly cohorts. Eur J Hum Genet 20, 341–347. https://doi.org/10.1038/ejhg.2011.201

Luciano, M., Huffman, J.E., Arias-Vásquez, A., Vinkhuyzen, A.A.E., Middeldorp, C.M., et al., (2012a). Genome-wide association uncovers shared genetic effects among personality traits and mood states. Am. J. Med. Genet. 159B, 684–695. https://doi.org/10.1002/ajmg.b.32072

Luciano, M., Lopez, L.M., de Moor, M.H.M., Harris, S.E., Davies, G., et al., (2012b). Longevity candidate genes and their association with personality traits in the elderly. Am. J. Med. Genet. 159B, 192–200. https://doi.org/10.1002/ajmg.b.32013

Luciano, M., MacLeod, A.K., Payton, A., Davies, G., Ke, X., et al., (2012c). Effects of gene copy number variants on personality and mood in ageing cohorts. Personality and Individual Differences 53, 393–397. https://doi.org/10.1016/j.paid.2011.12.019

Luciano, M., Mõttus, R., Starr, J.M., McNeill, G., Jia, X., et al., (2012d). Depressive symptoms and diet: Their effects on prospective inflammation levels in the elderly. Brain, Behavior, and Immunity 26, 717–720. https://doi.org/10.1016/j.bbi.2011.10.007

MacLeod, A.K., Davies, G., Payton, A., Tenesa, A., Harris, S.E., et al., (2012). Genetic Copy Number Variation and General Cognitive Ability. PLoS ONE 7, e37385. https://doi.org/10.1371/journal.pone.0037385

McQuillan, R., Eklund, N., Pirastu, N., Kuningas, M., McEvoy, B.P., et al., (2012). Evidence of Inbreeding Depression on Human Height. PLoS Genet 8, e1002655. https://doi.org/10.1371/journal.pgen.1002655

Mõttus, R., Gale, C.R., Starr, J.M., Deary, I.J., (2012a). ‘On the street where you live’: Neighbourhood deprivation and quality of life among community-dwelling older people in Edinburgh, Scotland. Social Science & Medicine 74, 1368–1374. https://doi.org/10.1016/j.socscimed.2011.12.050

Mõttus, R., Johnson, W., Deary, I.J., (2012b). Personality traits in old age: Measurement and rank-order stability and some mean-level change.. Psychology and Aging 27, 243–249. https://doi.org/10.1037/a0023690

Mõttus, R., Johnson, W., Starr, J.M., Deary, I.J., (2012c). Correlates of personality trait levels and their changes in very old age: The Lothian Birth Cohort 1921. Journal of Research in Personality 46, 271–278. https://doi.org/10.1016/j.jrp.2012.02.004

Murray, C., Pattie, A., Starr, J.M., Deary, I.J., (2012). Does cognitive ability predict mortality in the ninth decade? The Lothian Birth Cohort 1921. Intelligence 40, 490–498. https://doi.org/10.1016/j.intell.2012.05.003

Penke, L, Maniega, S.M., Bastin, M.E., Valdés Hernández, M.C., Murray, C., et al., (2012). Brain white matter tract integrity as a neural foundation for general intelligence. Mol Psychiatry 17, 1026–1030. https://doi.org/10.1038/mp.2012.66

Penke, Lars, Valdés Hernandéz, M.C., Maniega, S.M., Gow, A.J., Murray, C., et al., (2012). Brain iron deposits are associated with general cognitive ability and cognitive aging. Neurobiology of Aging 33, 510-517.e2. https://doi.org/10.1016/j.neurobiolaging.2010.04.032

Schiepers, O.J.G., Harris, S.E., Gow, A.J., Pattie, A., Brett, C.E., et al., (2012). APOE E4 status predicts age-related cognitive decline in the ninth decade: longitudinal follow-up of the Lothian Birth Cohort 1921. Mol Psychiatry 17, 315–324. https://doi.org/10.1038/mp.2010.137

Stein, J.L., Vasquez, A.A., Hibar, D.P., Senstad, R.E., Winkler, A.M., et al., (2012). Identification of common variants associated with human hippocampal and intracranial volumes. Nat Genet 44, 552–561. https://doi.org/10.1038/ng.2250

Stolk, L., Perry, J.R.B., Chasman, D.I., He, C., Mangino, M., et al., (2012). Meta-analyses identify 13 loci associated with age at menopause and highlight DNA repair and immune pathways. Nat Genet 44, 260–268. https://doi.org/10.1038/ng.1051

Tang, W., Schwienbacher, C., Lopez, L.M., Ben-Shlomo, Y., Oudot-Mellakh, T., et al., (2012). Genetic Associations for Activated Partial Thromboplastin Time and Prothrombin Time, their Gene Expression Profiles, and Risk of Coronary Artery Disease. The American Journal of Human Genetics 91, 152–162. https://doi.org/10.1016/j.ajhg.2012.05.009

Traylor, M., Farrall, M., Holliday, E.G., Sudlow, C., Hopewell, J.C., et al., (2012). Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE Collaboration): a meta-analysis of genome-wide association studies. The Lancet Neurology 11, 951–962. https://doi.org/10.1016/S1474-4422(12)70234-X

Valdés Hernández, M. del C., Gallacher, P.J., Bastin, M.E., Royle, N.A., Maniega, S.M., et al., (2012). Automatic segmentation of brain white matter and white matter lesions in normal aging: comparison of five multispectral techniques. Magnetic Resonance Imaging 30, 222–229. https://doi.org/10.1016/j.mri.2011.09.016

van der Harst, P., Zhang, W., Mateo Leach, I., Rendon, A., Verweij, N., et al., (2012). Seventy-five genetic loci influencing the human red blood cell. Nature 492, 369–375. https://doi.org/10.1038/nature11677

Vinkhuyzen, A.A.E., Pedersen, N.L., Yang, J., Lee, S.H., Magnusson, P.K.E., et al., (2012). Common SNPs explain some of the variation in the personality dimensions of neuroticism and extraversion. Transl Psychiatry 2, e102–e102. https://doi.org/10.1038/tp.2012.27

von Stumm, S., Deary, I.J., (2012). Typical intellectual engagement and cognition in the ninth decade of life: The Lothian Birth Cohort 1921.. Psychology and Aging 27, 761–767. https://doi.org/10.1037/a0026527

Waiyavutti, C., Johnson, W., Deary, I.J., (2012). Do personality scale items function differently in people with high and low IQ?. Psychological Assessment 24, 545–555. https://doi.org/10.1037/a0026266

Wilk, J.B., Shrine, N.R.G., Loehr, L.R., Zhao, J.H., Manichaikul, A., et al., (2012). Genome-Wide Association Studies Identify CHRNA5/3 and HTR4 in the Development of Airflow Obstruction. Am J Respir Crit Care Med 186, 622–632. https://doi.org/10.1164/rccm.201202-0366OC

Zammit, A.R., Starr, J.M., Johnson, W., Deary, I.J., (2012). Profiles of physical, emotional and psychosocial wellbeing in the Lothian birth cohort 1936. BMC Geriatr 12, 64. https://doi.org/10.1186/1471-2318-12-64

2011

Alfred, T., Ben-Shlomo, Y., Cooper, R., Hardy, R., Cooper, C., et al., (2011a). ACTN3 genotype, athletic status, and life course physical capability: meta-analysis of the published literature and findings from nine studies. Hum. Mutat. 32, 1008–1018. https://doi.org/10.1002/humu.21526

Alfred, T., Ben-Shlomo, Y., Cooper, R., Hardy, R., Cooper, C., et al., (2011b). Absence of association of a single-nucleotide polymorphism in the TERT-CLPTM1L locus with age-related phenotypes in a large multicohort study: the HALCyon programme: TERT SNP and age-related phenotypes. Aging Cell 10, 520–532. https://doi.org/10.1111/j.1474-9726.2011.00687.x

Allerhand, M., Ting Ooi, E., Starr, R.J., Alcorn, M., Penke, L., et al., (2011). Skin ageing and oxidative stress in a narrow-age cohort of older adults. European Geriatric Medicine 2, 140–144. https://doi.org/10.1016/j.eurger.2011.04.009

Artigas, M.S., Loth, D.W., Wain, L.V., Gharib, S.A., Obeidat, M., et al., (2011). Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function. Nat Genet 43, 1082–1090. https://doi.org/10.1038/ng.941

Birnie, K., Cooper, R., Martin, R.M., Kuh, D., Sayer, A.A., et al., (2011). Childhood Socioeconomic Position and Objectively Measured Physical Capability Levels in Adulthood: A Systematic Review and Meta-Analysis. PLoS ONE 6, e15564. https://doi.org/10.1371/journal.pone.0015564

Butchart, C., Kyle, J., McNeill, G., Corley, J., Gow, A.J., et al., (2011). Flavonoid intake in relation to cognitive function in later life in the Lothian Birth Cohort 1936. Br J Nutr 106, 141–148. https://doi.org/10.1017/S0007114510005738

Cooper, R., Hardy, R., Aihie Sayer, A., Ben-Shlomo, Y., Birnie, K., et al., (2011). Age and Gender Differences in Physical Capability Levels from Mid-Life Onwards: The Harmonisation and Meta-Analysis of Data from Eight UK Cohort Studies. PLoS ONE 6, e27899. https://doi.org/10.1371/journal.pone.0027899

Corley, J., Jia, X., Brett, C.E., Gow, A.J., Starr, J.M., et al., (2011). Alcohol intake and cognitive abilities in old age: The Lothian Birth Cohort 1936 study.. Neuropsychology 25, 166–175. https://doi.org/10.1037/a0021571

Davies, G., Tenesa, A., Payton, A., Yang, J., Harris, S.E., et al., (2011). Genome-wide association studies establish that human intelligence is highly heritable and polygenic. Mol Psychiatry 16, 996–1005. https://doi.org/10.1038/mp.2011.85

Deary, I.J., Johnson, W., Gow, A.J., Pattie, A., Brett, C.E., et al., (2011). Losing One’s Grip: A Bivariate Growth Curve Model of Grip Strength and Nonverbal Reasoning From Age 79 to 87 Years in the Lothian Birth Cohort 1921. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences 66B, 699–707. https://doi.org/10.1093/geronb/gbr059

Frank, R.A.W., McRae, A.F., Pocklington, A.J., van de Lagemaat, L.N., Navarro, P., et al., (2011). Clustered Coding Variants in the Glutamate Receptor Complexes of Individuals with Schizophrenia and Bipolar Disorder. PLoS ONE 6, e19011. https://doi.org/10.1371/journal.pone.0019011

Gale, C.R., Sayer, A.A., Cooper, C., Dennison, E.M., Starr, J.M., et al., (2011). Factors associated with symptoms of anxiety and depression in five cohorts of community-based older people: the HALCyon (Healthy Ageing across the Life Course) Programme. Psychol. Med. 41, 2057–2073. https://doi.org/10.1017/S0033291711000195

Gieger, C., Radhakrishnan, A., Cvejic, A., Tang, W., Porcu, E., et al., (2011). New gene functions in megakaryopoiesis and platelet formation. Nature 480, 201–208. https://doi.org/10.1038/nature10659

Gow, A.J., Johnson, W., Pattie, A., Brett, C.E., Roberts, B., et al., (2011a). Stability and change in intelligence from age 11 to ages 70, 79, and 87: The Lothian Birth Cohorts of 1921 and 1936.. Psychology and Aging 26, 232–240. https://doi.org/10.1037/a0021072

Gow, A.J., Watson, R., Whiteman, M., Deary, I.J., (2011b). A Stairway to Heaven? Structure of the Religious Involvement Inventory and Spiritual Well-Being Scale. J Relig Health 50, 5–19. https://doi.org/10.1007/s10943-010-9375-2

Hamilton, G., Harris, S.E., Davies, G., Liewald, D.C., Tenesa, A., et al., (2011). Alzheimer’s Disease Genes Are Associated with Measures of Cognitive Ageing in the Lothian Birth Cohorts of 1921 and 1936. International Journal of Alzheimer’s Disease 2011, 1–11. https://doi.org/10.4061/2011/505984

Henderson, R.D., Allerhand, M., Patton, N., Pattie, A., Gow, A.J., et al., (2011). Vision and intelligence at age 83 in the Lothian Birth Cohort 1921. Intelligence 39, 148–154. https://doi.org/10.1016/j.intell.2011.02.005

Hope, D., Bates, T., Penke, L., Gow, A.J., Starr, J.M., et al., (2011). Fluctuating Asymmetry and personality. Personality and Individual Differences 50, 49–52. https://doi.org/10.1016/j.paid.2010.08.020

Johnson, W., Corley, J., Starr, J.M., Deary, I.J., (2011). Psychological and physical health at age 70 in the Lothian Birth Cohort 1936: Links with early life IQ, SES, and current cognitive function and neighborhood environment.. Health Psychology 30, 1–11. https://doi.org/10.1037/a0021834

Johnson, W., Deary, I.J., (2011). Placing inspection time, reaction time, and perceptual speed in the broader context of cognitive ability: The VPR model in the Lothian Birth Cohort 1936. Intelligence 39, 405–417. https://doi.org/10.1016/j.intell.2011.07.003

Lopez, L.M., Mullen, W., Zürbig, P., Harris, S.E., Gow, A.J., et al., (2011). A pilot study of urinary peptides as biomarkers for intelligence in old age. Intelligence 39, 46–53. https://doi.org/10.1016/j.intell.2010.11.001

Lu, C.-K., Tang, T.B., Laude, A., Deary, I.J., Dhillon, B., et al., (2011). Quantification of Parapapillary Atrophy and Optic Disc. Invest. Ophthalmol. Vis. Sci. 52, 4671. https://doi.org/10.1167/iovs.10-6572

Luciano, M., Hansell, N.K., Lahti, J., Davies, G., Medland, S.E., et al., (2011). Whole genome association scan for genetic polymorphisms influencing information processing speed. Biological Psychology 86, 193–202. https://doi.org/10.1016/j.biopsycho.2010.11.008

Marioni, R.E., Deary, I.J., Murray, G.D., Lowe, G.D.O., Strachan, M.W.J., et al., (2011). Genetic Associations Between Fibrinogen and Cognitive Performance in Three Scottish Cohorts. Behav Genet 41, 691–699. https://doi.org/10.1007/s10519-011-9449-2

McNeill, G., Jia, X., Whalley, L.J., Fox, H.C., Corley, J., et al., (2011). Antioxidant and B vitamin intake in relation to cognitive function in later life in the Lothian Birth Cohort 1936. Eur J Clin Nutr 65, 619–626. https://doi.org/10.1038/ejcn.2011.2

Middeldorp, C.M., de Moor, M.H.M., McGrath, L.M., Gordon, S.D., Blackwood, D.H., et al., (2011). The genetic association between personality and major depression or bipolar disorder. A polygenic score analysis using genome-wide association data. Transl Psychiatry 1, e50–e50. https://doi.org/10.1038/tp.2011.45

Murray, C., Brett, C.E., Starr, J.M., Deary, I.J., (2011a). Which aspects of subjectively reported quality of life are important in predicting mortality beyond known risk factors? The Lothian Birth Cohort 1921 Study. Qual Life Res 20, 81–90. https://doi.org/10.1007/s11136-010-9718-1

Murray, C., Johnson, W., Wolf, M.S., Deary, I.J., (2011b). The association between cognitive ability across the lifespan and health literacy in old age: The Lothian Birth Cohort 1936. Intelligence 39, 178–187. https://doi.org/10.1016/j.intell.2011.04.001

Rizzi, T.S., Arias-Vasquez, A., Rommelse, N., Kuntsi, J., Anney, R., et al., (2011). The ATXN1 and TRIM31 genes are related to intelligence in an ADHD background: Evidence from a large collaborative study totaling 4,963 Subjects. Am. J. Med. Genet. 156, 145–157. https://doi.org/10.1002/ajmg.b.31149

Schiepers, O.J.G., van Boxtel, M.P.J., Harris, S.E., Gow, A.J., Pattie, A., et al., (2011). MTHFR polymorphisms and cognitive ageing in the ninth decade: the Lothian Birth Cohort 1921. Genes, Brain and Behavior 10, 354–364. https://doi.org/10.1111/j.1601-183X.2010.00675.x

Smith, N.L., Huffman, J.E., Strachan, D.P., Huang, J., Dehghan, A., et al., (2011). Genetic Predictors of Fibrin D-Dimer Levels in Healthy Adults. Circulation 123, 1864–1872. https://doi.org/10.1161/CIRCULATIONAHA.110.009480

Starr, J.M., Deary, I.J., (2011). Socio-economic position predicts grip strength and its decline between 79 and 87 years: the Lothian Birth Cohort 1921. Age and Ageing 40, 749–752. https://doi.org/10.1093/ageing/afr070

Starr, John M., Deary, I.J., (2011). Sex differences in blood cell counts in the Lothian Birth Cohort 1921 between 79 and 87 years. Maturitas 69, 373–376. https://doi.org/10.1016/j.maturitas.2011.05.007

Starr, J.M., Deary, I.J., (2011). Blood pressure, socio-economic status and health in the Lothian 1921 birth cohort: A longitudinal study. Public Health 125, 196–200. https://doi.org/10.1016/j.puhe.2010.11.017

Valdés Hernández, M.C., Jeong, T.H., Murray, C., Bastin, M.E., Chappell, F.M., et al., (2011). Reliability of two techniques for assessing cerebral iron deposits with structural magnetic resonance imaging. J. Magn. Reson. Imaging 33, 54–61. https://doi.org/10.1002/jmri.22361

Wain, L.V., Verwoert, G.C., O’Reilly, P.F., Shi, G., Johnson, T., et al., (2011). Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure. Nat Genet 43, 1005–1011. https://doi.org/10.1038/ng.922

Wardlaw, J.M., Bastin, M.E., Valdes Hernandez, M., Muñoz Maniega, S., Royle, N.A., et al., (2011). Brain Ageing, Cognition in Youth and Old Age, and Vascular Disease in the Lothian Birth Cohort 1936: Rationale, Design and Methodology of the Imaging Protocol. International Journal of Stroke 6, 547–559. https://doi.org/10.1111/j.1747-4949.2011.00683.x.

2010

Corley, J., Gow, A.J., Starr, J.M., Deary, I.J., (2010a). Is body mass index in old age related to cognitive abilities? The Lothian Birth Cohort 1936 Study.. Psychology and Aging 25, 867–875. https://doi.org/10.1037/a0020301

Corley, J., Jia, X., Kyle, J.A.M., Gow, A.J., Brett, C.E., et al., (2010b). Caffeine Consumption and Cognitive Function at Age 70: The Lothian Birth Cohort 1936 Study:. Psychosomatic Medicine 72, 206–214. https://doi.org/10.1097/PSY.0b013e3181c92a9c

Deary, I.J., Johnson, W., Starr, J.M., (2010). Are processing speed tasks biomarkers of cognitive aging?. Psychology and Aging 25, 219–228. https://doi.org/10.1037/a0017750

Dhillon, B., Wright, A.F., Tufail, A., Pappworth, I., Hayward, C., et al., (2010). Complement Factor H Autoantibodies and Age-Related Macular Degeneration. Invest. Ophthalmol. Vis. Sci. 51, 5858. https://doi.org/10.1167/iovs.09-5124

Fieo, R., Watson, R., Deary, I.J., Starr, J.M., (2010). A Revised Activities of Daily Living/Instrumental Activities of Daily Living Instrument Increases Interpretive Power: Theoretical Application for Functional Tasks Exercise. Gerontology 56, 483–490. https://doi.org/10.1159/000271603

Gale, C.R., Allerhand, M., Sayer, A.A., Cooper, C., Dennison, E.M., et al., (2010). The structure of the Hospital Anxiety and Depression Scale in four cohorts of community-based, healthy older people: the HALCyon program. Int. Psychogeriatr. 22, 559–571. https://doi.org/10.1017/S1041610210000256

Haggarty, P., Hoad, G., Harris, S.E., Starr, J.M., Fox, H.C., et al., (2010). Human Intelligence and Polymorphisms in the DNA Methyltransferase Genes Involved in Epigenetic Marking. PLoS ONE 5, e11329. https://doi.org/10.1371/journal.pone.0011329

Harris, S.E., Hennah, W., Thomson, P.A., Luciano, M., Starr, J.M., et al., (2010). Variation in DISC1 is associated with anxiety, depression and emotional stability in elderly women. Mol Psychiatry 15, 232–234. https://doi.org/10.1038/mp.2009.88

Houlihan, Lorna M., Davies, G., Tenesa, A., Harris, S.E., Luciano, M., et al., (2010a). Common Variants of Large Effect in F12, KNG1, and HRG Are Associated with Activated Partial Thromboplastin Time. The American Journal of Human Genetics 86, 626–631. https://doi.org/10.1016/j.ajhg.2010.02.016

Houlihan, Lorna M., Harris, S.E., Deary, I.J., Starr, J.M., (2010b). Replication association analysis of S100B and cognitive ageing.. Psychiatric Genetics 20, 133–134. https://doi.org/10.1097/YPG.0b013e32833a2096

Houlihan, L. M., Wyatt, N.D., Harris, S.E., Hayward, C., Gow, A.J., et al., (2010). Variation in the uric acid transporter gene (SLC2A9) and memory performance. Human Molecular Genetics 19, 2321–2330. https://doi.org/10.1093/hmg/ddq097

International Stroke Genetics Consortium and Wellcome Trust Case–Control Consortium 2, (2010). Failure to Validate Association between 12p13 Variants and Ischemic Stroke. N Engl J Med 362, 1547–1550. https://doi.org/10.1056/NEJMc0910050

Johnson, W., Brett, C.E., Deary, I.J., (2010a). Intergenerational class mobility in Britain: A comparative look across three generations in the Lothian Birth Cohort 1936. Intelligence 38, 268–281. https://doi.org/10.1016/j.intell.2009.11.010

Johnson, W., Brett, C.E., Deary, I.J., (2010b). The pivotal role of education in the association between ability and social class attainment: A look across three generations. Intelligence 38, 55–65. https://doi.org/10.1016/j.intell.2009.11.008

Johnson, W., Gow, A.J., Corley, J., Starr, J.M., Deary, I.J., (2010c). Location in cognitive and residential space at age 70 reflects a lifelong trait over parental and environmental circumstances: The Lothian Birth Cohort 1936. Intelligence 38, 402–411. https://doi.org/10.1016/j.intell.2010.04.001

Luciano, M., Houlihan, L.M., Harris, S.E., Gow, A.J., Hayward, C., et al., (2010). Association of Existing and New Candidate Genes for Anxiety, Depression and Personality Traits in Older People. Behav Genet 40, 518–532. https://doi.org/10.1007/s10519-009-9326-4

Marioni, R.E., Deary, I.J., Murray, G.D., Lowe, G.D.O., Rafnsson, S.B., et al., (2010). Genetic Variants Associated With Altered Plasma Levels of C-Reactive Protein are not Associated With Late-Life Cognitive Ability in Four Scottish Samples. Behav Genet 40, 3–11. https://doi.org/10.1007/s10519-009-9302-z

McIlhagger, R., Gow, A.J., Brett, C.E., Corley, J., Taylor, M., et al., (2010). Differences in the haematological profile of healthy 70 year old men and women: normal ranges with confirmatory factor analysis. BMC Hematol 10, 4. https://doi.org/10.1186/1471-2326-10-4

Penke, Lars, Maniega, S.M., Houlihan, L.M., Murray, C., Gow, A.J., et al., (2010). White Matter Integrity in the Splenium of the Corpus Callosum is Related to Successful Cognitive Aging and Partly Mediates the Protective Effect of an Ancestral Polymorphism in ADRB2. Behav Genet 40, 146–156. https://doi.org/10.1007/s10519-009-9318-4

Penke, L., Maniega, S.M., Murray, C., Gow, A.J., Valdes Hernandez, M.C., et al., (2010). A General Factor of Brain White Matter Integrity Predicts Information Processing Speed in Healthy Older People. Journal of Neuroscience 30, 7569–7574. https://doi.org/10.1523/JNEUROSCI.1553-10.2010

Shenkin, S.D., Bastin, M.E., MacGillivray, T.J., Eadie, E., Deary, I.J., et al., (2010). Carotid Intima-Media Thickness and Cerebrovascular Disease in Community-Dwelling Older People Without Stroke. Stroke 41, 2083–2086. https://doi.org/10.1161/STROKEAHA.110.590505

Starr, J.M., Deary, I.J., (2010). Renal function in a narrow-age cohort of adults at 79 and 87 years. Age and Ageing 39, 750–752. https://doi.org/10.1093/ageing/afq103

Starr, J.M., Kilgour, A., Pattie, A., Gow, A., Bates, T.C., et al., (2010). Height and intelligence in the Lothian Birth Cohort 1921: a longitudinal study. Age and Ageing 39, 272–275. https://doi.org/10.1093/ageing/afp258

Tam, G.W.C., van de Lagemaat, L.N., Redon, R., Strathdee, K.E., Croning, M.D.R., et al., (2010). Confirmed rare copy number variants implicate novel genes in schizophrenia. Biochm. Soc. Trans. 38, 445–451. https://doi.org/10.1042/BST0380445

2009

Bastin, M.E., Clayden, J.D., Pattie, A., Gerrish, I.F., Wardlaw, J.M., et al., (2009). Diffusion tensor and magnetization transfer MRI measurements of periventricular white matter hyperintensities in old age. Neurobiology of Aging 30, 125–136. https://doi.org/10.1016/j.neurobiolaging.2007.05.013

Bates, T.C., Price, J.F., Harris, S.E., Marioni, R.E., Fowkes, F.G.R., et al., (2009). Association of KIBRA and memory. Neuroscience Letters 458, 140–143. https://doi.org/10.1016/j.neulet.2009.04.050

Bochdanovits, Z., Gosso, F.M., van den Berg, L., Rizzu, P., Polderman, T.J.C., et al., (2009). A Functional Polymorphism under Positive Evolutionary Selection in ADRB2 is Associated with Human Intelligence with Opposite Effects in the Young and the Elderly. Behav Genet 39, 15–23. https://doi.org/10.1007/s10519-008-9233-0

Hennah, W., Thomson, P., McQuillin, A., Bass, N., Loukola, A., et al., (2009). DISC1 association, heterogeneity and interplay in schizophrenia and bipolar disorder. Mol Psychiatry 14, 865–873. https://doi.org/10.1038/mp.2008.22

Houlihan, L.M., Harris, S.E., Luciano, M., Gow, A.J., Starr, J.M., et al., (2009). Replication study of candidate genes for cognitive abilities: the Lothian Birth Cohort 1936. Genes, Brain and Behavior 8, 238–247. https://doi.org/10.1111/j.1601-183X.2008.00470.x

Knight, H.M., Pickard, B.S., Maclean, A., Malloy, M.P., Soares, D.C., et al., (2009). A Cytogenetic Abnormality and Rare Coding Variants Identify ABCA13 as a Candidate Gene in Schizophrenia, Bipolar Disorder, and Depression. The American Journal of Human Genetics 85, 833–846. https://doi.org/10.1016/j.ajhg.2009.11.003

Le Hellard, S., Håvik, B., Espeseth, T., Breilid, H., Løvlie, R., et al., (2009). Variants in Doublecortin- and Calmodulin Kinase Like 1, a Gene Up-Regulated by BDNF, Are Associated with Memory and General Cognitive Abilities. PLoS ONE 4, e7534. https://doi.org/10.1371/journal.pone.0007534

Luciano, Michelle, Gow, A.J., Harris, S.E., Hayward, C., Allerhand, M., et al., (2009a). Cognitive ability at age 11 and 70 years, information processing speed, and APOE variation: The Lothian Birth Cohort 1936 study.. Psychology and Aging 24, 129–138. https://doi.org/10.1037/a0014780

Luciano, Michelle, Gow, A.J., Taylor, M.D., Hayward, C., Harris, S.E., et al., (2009b). Apolipoprotein E is not Related to Memory Abilities at 70 Years of Age. Behav Genet 39, 6–14. https://doi.org/10.1007/s10519-008-9236-x

Luciano, Michelle, Marioni, R.E., Gow, A.J., Starr, J.M., Deary, I.J., (2009c). Reverse Causation in the Association Between C-Reactive Protein and Fibrinogen Levels and Cognitive Abilities in an Aging Sample:. Psychosomatic Medicine 71, 404–409. https://doi.org/10.1097/PSY.0b013e3181a24fb9

Luciano, M., Miyajima, F., Lind, P.A., Bates, T.C., Horan, M., et al., (2009). Variation in the dysbindin gene and normal cognitive function in three independent population samples. Genes, Brain and Behavior 8, 218–227. https://doi.org/10.1111/j.1601-183X.2008.00462.x

Penke, L., Bates, T.C., Gow, A.J., Pattie, A., Starr, J.M., et al., (2009). Symmetric faces are a sign of successful cognitive aging. Evolution and Human Behavior 30, 429–437. https://doi.org/10.1016/j.evolhumbehav.2009.06.001

Shenkin, Susan D., Bastin, M.E., MacGillivray, T.J., Deary, I.J., Starr, J.M., et al., (2009). Birth Parameters Are Associated With Late-Life White Matter Integrity in Community-Dwelling Older People. Stroke 40, 1225–1228. https://doi.org/10.1161/STROKEAHA.108.527259

Shenkin, Susan D, Rivers, C.S., Deary, I.J., Starr, J.M., Wardlaw, J.M., (2009). Maximum (prior) brain size, not atrophy, correlates with cognition in community-dwelling older people: a cross-sectional neuroimaging study. BMC Geriatr 9, 12. https://doi.org/10.1186/1471-2318-9-12

2008

Gow, A.J., Johnson, W., Pattie, A., Whiteman, M.C., Starr, J., et al., (2008). Mental Ability in Childhood and Cognitive Aging. Gerontology 54, 177–186. https://doi.org/10.1159/000118098

Johnson, W., Harris, S.E., Starr, J.M., Whalley, L.J., Deary, I.J., (2008). PPARG Pro12Ala genotype and risk of cognitive decline in elders? Maybe with diabetes. Neuroscience Letters 434, 50–55. https://doi.org/10.1016/j.neulet.2008.01.027

Luciano, M., Lind, P.A., Deary, I.J., Payton, A., Posthuma, D., et al., (2008). Testing replication of a 5-SNP set for general cognitive ability in six population samples. Eur J Hum Genet 16, 1388–1395. https://doi.org/10.1038/ejhg.2008.100

McGurn, B., Deary, I.J., Starr, J.M., (2008). Childhood cognitive ability and risk of late-onset Alzheimer and vascular dementia. Neurology 71, 1051–1056. https://doi.org/10.1212/01.wnl.0000319692.20283.10

Shenkin, S.D., Starr, J.M., Dunn, J.M., Carter, S., Deary, I.J., (2008). Is there information contained within the sentence-writing component of the mini mental state examination? A retrospective study of community dwelling older people. Int. J. Geriat. Psychiatry 23, 1283–1289. https://doi.org/10.1002/gps.2066

Starr, J. M., Pattie, A., Whalley, L.J., Deary, I.J., (2008). Predictors of tooth loss in the 1921 Lothian Birth Cohort. Age and Ageing 37, 111–114. https://doi.org/10.1093/ageing/afm160

Starr, John M., Shiels, P.G., Harris, S.E., Pattie, A., Pearce, M.S., et al., (2008). Oxidative stress, telomere length and biomarkers of physical aging in a cohort aged 79 years from the 1932 Scottish Mental Survey. Mechanisms of Ageing and Development 129, 745–751. https://doi.org/10.1016/j.mad.2008.09.020

Tenesa, A., Farrington, S.M., Prendergast, J.G.D., Porteous, M.E., Walker, M., et al., (2008). Genome-wide association scan identifies a colorectal cancer susceptibility locus on 11q23 and replicates risk loci at 8q24 and 18q21. Nat Genet 40, 631–637. https://doi.org/10.1038/ng.133

2007

Deary, I.J., Gow, A.J., Taylor, M.D., Corley, J., Brett, C., et al., (2007). The Lothian Birth Cohort 1936: a study to examine influences on cognitive ageing from age 11 to age 70 and beyond. BMC Geriatr 7, 28. https://doi.org/10.1186/1471-2318-7-28

Gow, A.J., Pattie, A., Whiteman, M.C., Whalley, L.J., Deary, I.J., (2007). Social Support and Successful Aging: Investigating the Relationships Between Lifetime Cognitive Change and Life Satisfaction. Journal of Individual Differences 28, 103–115. https://doi.org/10.1027/1614-0001.28.3.103

Harris, S.E., Fox, H., Wright, A.F., Hayward, C., Starr, J.M., et al., (2007). A genetic association analysis of cognitive ability and cognitive ageing using 325 markers for 109 genes associated with oxidative stress or cognition. BMC Genet 8, 43. https://doi.org/10.1186/1471-2156-8-43

Johnson, W., Harris, S.E., Collins, P., Starr, J.M., Whalley, L.J., et al., (2007). No association of CETP genotype with cognitive function or age-related cognitive change. Neuroscience Letters 420, 189–192. https://doi.org/10.1016/j.neulet.2007.05.013

Mekel-Bobrov, N., Posthuma, D., Gilbert, S.L., Lind, P., Gosso, M.F., et al., (2007). The ongoing adaptive evolution of ASPM and Microcephalin is not explained by increased intelligence. Human Molecular Genetics 16, 600–608. https://doi.org/10.1093/hmg/ddl487

Munang, L., Starr, J.M., Whalley, L., Deary, I.J., (2007). Renal function and cognition in the 1932 Scottish Mental Survey Lothian cohort. Age and Ageing 36, 323–325. https://doi.org/10.1093/ageing/afl178

Patton, N., Pattie, A., MacGillivray, T., Aslam, T., Dhillon, B., et al., (2007). The Association between Retinal Vascular Network Geometry and Cognitive Ability in an Elderly Population. Invest. Ophthalmol. Vis. Sci. 48, 1995. https://doi.org/10.1167/iovs.06-1123

Sisodiya, S.M., Thompson, P.J., Need, A., Harris, S.E., Weale, M.E., et al., (2007). Genetic enhancement of cognition in a kindred with cone-rod dystrophy due to RIMS1 mutation. Journal of Medical Genetics 44, 373–380. https://doi.org/10.1136/jmg.2006.047407

Starr, J., Mcgurn, B., Harris, S., Whalley, L., Deary, I., et al., (2007). Association between telomere length and heart disease in a narrow age cohort of older people. Experimental Gerontology 42, 571–573. https://doi.org/10.1016/j.exger.2006.12.002

Yates, J.R.W., Sepp, T., Matharu, B.K., Khan, J.C., Thurlby, D.A., et al., (2007). Complement C3 Variant and the Risk of Age-Related Macular Degeneration. N Engl J Med 357, 553–561. https://doi.org/10.1056/NEJMoa072618

2006

Deary, I. J., Bastin, M.E., Pattie, A., Clayden, J.D., Whalley, L.J., et al., (2006a). White matter integrity and cognition in childhood and old age. Neurology 66, 505–512. https://doi.org/10.1212/01.wnl.0000199954.81900.e2

Deary, Ian J., Hayward, C., Permana, P.A., Nair, S., Whalley, L.J., et al., (2006). Polymorphisms in the gene encoding 11B-hydroxysteroid dehydrogenase type 1 (HSD11B1) and lifetime cognitive change. Neuroscience Letters 393, 74–77. https://doi.org/10.1016/j.neulet.2005.09.047

Deary, I. J., Whalley, L.J., Batty, G.D., Starr, J.M., (2006b). Physical fitness and lifetime cognitive change. Neurology 67, 1195–1200. https://doi.org/10.1212/01.wnl.0000238520.06958.6a

Harris, Sarah E., Deary, I.J., MacIntyre, A., Lamb, K.J., Radhakrishnan, K., et al., (2006). The association between telomere length, physical health, cognitive ageing, and mortality in non-demented older people. Neuroscience Letters 406, 260–264. https://doi.org/10.1016/j.neulet.2006.07.055

Harris, S E, Fox, H., Wright, A.F., Hayward, C., Starr, J.M., et al., (2006). The brain-derived neurotrophic factor Val66Met polymorphism is associated with age-related change in reasoning skills. Mol Psychiatry 11, 505–513. https://doi.org/10.1038/sj.mp.4001799

2005

Deary, I.J., Harris, S.E., Fox, H.C., Hayward, C., Wright, A.F., et al., (2005). KLOTHO genotype and cognitive ability in childhood and old age in the same individuals. Neuroscience Letters 378, 22–27. https://doi.org/10.1016/j.neulet.2004.12.005

Gow, Alan J., Whiteman, M.C., Pattie, A., Deary, I.J., (2005a). The personality–intelligence interface: insights from an ageing cohort. Personality and Individual Differences 39, 751–761. https://doi.org/10.1016/j.paid.2005.01.028

Gow, Alan J., Whiteman, M.C., Pattie, A., Deary, I.J., (2005b). Goldberg’s ‘IPIP’ Big-Five factor markers: Internal consistency and concurrent validation in Scotland. Personality and Individual Differences 39, 317–329. https://doi.org/10.1016/j.paid.2005.01.011

Gow, Alan J, Whiteman, M.C., Pattie, A., Whalley, L., Starr, J., et al., (2005). Lifetime intellectual function and satisfaction with life in old age: longitudinal cohort study. BMJ 331, 141–142. https://doi.org/10.1136/bmj.38531.675660.F7

Harris, S.E., Wright, A.F., Hayward, C., Starr, J.M., Whalley, L.J., et al., (2005). The functional COMT polymorphism, Val158Met, is associated with logical memory and the personality trait intellect/imagination in a cohort of healthy 79 year olds. Neuroscience Letters 385, 1–6. https://doi.org/10.1016/j.neulet.2005.04.104

Kachiwala, S.J., Harris, S.E., Wright, A.F., Hayward, C., Starr, J.M., et al., (2005). Genetic influences on oxidative stress and their association with normal cognitive ageing. Neuroscience Letters 386, 116–120. https://doi.org/10.1016/j.neulet.2005.05.067

Thomson, P.A., Harris, S.E., Starr, J.M., Whalley, L.J., Porteous, D.J., et al., (2005). Association between genotype at an exonic SNP in DISC1 and normal cognitive aging. Neuroscience Letters 389, 41–45. https://doi.org/10.1016/j.neulet.2005.07.004

2004

Deary, I.J., Whiteman, M.C., Pattie, A., Starr, J.M., Hayward, C., et al., (2004a). Apolipoprotein E Gene Variability and Cognitive Functions at Age 79: A Follow-Up of the Scottish Mental Survey of 1932.. Psychology and Aging 19, 367–371. https://doi.org/10.1037/0882-7974.19.2.367

Deary, I.J., Whiteman, M.C., Starr, J.M., Whalley, L.J., Fox, H.C., (2004b). The Impact of Childhood Intelligence on Later Life: Following Up the Scottish Mental Surveys of 1932 and 1947.. Journal of Personality and Social Psychology 86, 130–147. https://doi.org/10.1037/0022-3514.86.1.130

McGurn, B., Starr, J.M., Topfer, J.A., Pattie, A., Whiteman, M.C., et al., (2004). Pronunciation of irregular words is preserved in dementia, validating premorbid IQ estimation. Neurology 62, 1184–1186. https://doi.org/10.1212/01.WNL.0000103169.80910.8B

Sandeep, T.C., Yau, J.L.W., MacLullich, A.M.J., Noble, J., Deary, I.J., et al., (2004). 11β-Hydroxysteroid dehydrogenase inhibition improves cognitive function in healthy elderly men and type 2 diabetics. Proceedings of the National Academy of Sciences 101, 6734–6739. https://doi.org/10.1073/pnas.0306996101

Starr, J.M., McGurn, B., Whiteman, M., Pattie, A., Whalley, L.J., et al., (2004). Life long changes in cognitive ability are associated with prescribed medications in old age. Int. J. Geriat. Psychiatry 19, 327–332. https://doi.org/10.1002/gps.1093

2003

Deary, I.J., (2003). Smoking and cognitive change from age 11 to age 80. Journal of Neurology, Neurosurgery & Psychiatry 74, 1006–1007. https://doi.org/10.1136/jnnp.74.7.1006

Shenkin, S.D., Bastin, M.E., MacGillivray, T.J., Deary, I.J., Starr, J.M., et al., (2003). Childhood and current cognitive function in healthy 80-year-olds: a DT-MRI study:. NeuroReport 345–349. https://doi.org/10.1097/00001756-200303030-00010

Visscher, P.M., Tynan, M., Whiteman, M.C., Pattie, A., White, I., et al., (2003). Lack of association between polymorphisms in angiotensin-converting-enzyme and methylenetetrahydrofolate reductase genes and normal cognitive ageing in humans. Neuroscience Letters 347, 175–178. https://doi.org/10.1016/S0304-3940(03)00691-8

2002

Deary, I.J., Whiteman, M.C., Pattie, A., Starr, J.M., Hayward, C., et al., (2002). Cognitive change and the APOE ɛ4 allele. Nature 418, 932–932. https://doi.org/10.1038/418932a

2001

Shenkin, S.D., (2001). Birth weight and cognitive function at age 11 years: the Scottish Mental Survey 1932. Archives of Disease in Childhood 85, 189–196. https://doi.org/10.1136/adc.85.3.18