Lothian Birth Cohorts


Browse all publications arising from the Lothian Birth Cohorts data since 2001, organised by year and in alphabetical order by first author.


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. Psychol. Med. 1–10. https://doi.org/10.1017/S0033291719003933

Backhouse, E., Shenkin, S.D., McIntosh, A.M., Bastin, M.E., Whalley, H., del Valdez Hernandes, M., Muñoz Maniega, S., 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., Davies, G., Smith, A.V., Saba, Y., Bis, J.C., Jian, X., Hayward, C., et al.(2021). Association of Low-Frequency and Rare Coding Variants with Information Processing Speed. Translational Psychiatry 11 (1): 613. https://doi.org/10.1038/s41398-021-01736-6.

Buchanan, C.R., Muñoz Maniega, S., Valdés Hernández, M.C., Ballerini, L., Barclay, G., et al., (2021). Comparison of structural MRI brain measures between 1.5 and 3 T: Data from the Lothian Birth Cohort 1936. Hum Brain Mapp hbm.25473. https://doi.org/10.1002/hbm.25473

Chung, J., Hamilton, G., Kim, M., Marini, S., Montgomery, B., 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., Stevenson, A.J., Muñoz Maniega, S., Harris, S.E., Green,C.,  del C. Valdés Hernández, M., Harris, M.A., 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., and 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., Okely, J.A., Taylor, A.M., Page, D., Welstead, M., et al. (2021). Home garden use during COVID-19: Associations with physical and mental wellbeing in older adults. Journal of Environmental Psychology 73, 101545. https://doi.org/10.1016/j.jenvp.2020.101545

Cox, S.R., Harris, M.A., Ritchie, S.J., Buchanan, C.R., Valdés Hernández, M.C., et al. (2021). Three major dimensions of human brain cortical ageing in relation to cognitive decline across the eighth decade of life. Mol Psychiatry. https://doi.org/10.1038/s41380-020-00975-1

Cuellar-Partida, G., Tung, J.Y., Eriksson, N., Albrecht, E., Aliev, F., et al. (2021). Genome-wide association study identifies 48 common genetic variants associated with handedness. Nat Hum Behav. 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. Mol Psychiatry. https://doi.org/10.1038/s41380-021-01027-y

Deary, I.J., Hill, W.D., Gale, C.R. (2021). Intelligence, health and death. Nat Hum Behav 5, 416–430. 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 86, 101539. https://doi.org/10.1016/j.intell.2021.101539

de las Fuentes, L., Sung, Y.J., Noordam, R., Winkler, T., Feitosa, M.F., Schwander, K., Bentley, A.R., 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., Stevenson, A.J., Hillary, R.F., McCartney, D.L., Wrobel, N., et al., (2021). Epigenetic predictors of lifestyle traits applied to the blood and brain. Brain Commun 3, fcab082. https://doi.org/10.1093/braincomms/fcab082

Hamilton, O., Cox, S., Ballerini, L., Bastin, M., Corley, J., 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.K.L., Cox, S.R., Okely, J.A., Conte, F., Ballerini, L., et al., (2021). Cerebral small vessel disease burden and longitudinal cognitive decline from age 73 to 82: the Lothian Birth Cohort 1936. Transl Psychiatry 11, 376. https://doi.org/10.1038/s41398-021-01495-4

Hillary, R. F., Stevenson, A.J., Cox, S.R., McCartney, D.L., Harris, S.E., Seeboth, A., Higham, J., 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., Schramm, C., Douard, E., Tamer, P., Main, A., 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. Psychol. Med. 1–9. https://doi.org/10.1017/S0033291721000623

Jia, T., Chu, C., Liu, Y., van Dongen, J., Armstrong, N.J., Bastin, M.E., Carrillo-Roa, 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., Marioni, R.E., Ochoa-Rosales, C., Russ, T.C., Deary, I.J., et al. (2021). DNA methylation of blood cells is associated with prevalent type 2 diabetes in a meta-analysis of four European cohorts. Clin Epigenet 13, 40. https://doi.org/10.1186/s13148-021-01027-3

Lam, M., Lencz, T., Chia-Yen, C., Yan, X., Hill, W.D., 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., Ritchie, S.J., Cox, S.R., Buchanan, C.R., Hernández, M.V., 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., Min, J.L., Richmond, R.C., Lu, A.T., Sobczyk, M.K., et al. (2021). Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging. Genome Biol 22, 194. https://doi.org/10.1186/s13059-021-02398-9

Min, J.L., Hemani, G., Hannon, E., Dekkers, K.F., Castillo-Fernandez, J., Luijk, R., Carnero-Montoro, E., et al. (2021). Genomic and Phenotypic Insights from an Atlas of Genetic Effects on DNA Methylation. Nature Genetics 53(9): 1311–21. 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 13. https://doi.org/10.1186/s13195-021-00768-w

Nabais, M.F., Laws, S.M., Lin, T., Vallerga, C.L., Armstrong, N.J., et al. (2021). Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders. Genome Biol 22, 90. 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 16. https://doi.org/10.1371/journal.pone.0254176

Portilla-fernández, E., Hwang, S., Wilson, R., Maddock, J., Hill, W.D., 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., Hébert, A., Turcotte, V., Potvin, O., Hudon, C., et al. (2021). Childhood Socioeconomic Status Does Not Predict Late-Life Cognitive Decline in the 1936 Lothian Birth Cohort. Front. Psychol. 12, 679044. https://doi.org/10.3389/fpsyg.2021.679044

Russ, T.C., Cherrie, M.P. c., Dibben, C., Tomlinson, S., Reis, S., 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 1–12. https://doi.org/10.3233/JAD-200910

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

Sun, D., Richard, M., Musani, S.K., Sung, Y.J., Winkler, T.W., Schwander, K., Chai, J.F., et al. (2021). Multi-Ancestry Genome-Wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. HGG Advances 2(1). https://doi.org/10.1016/j.xhgg.2020.100013

Taylor, A.M., Page, D., Okely, J.A., Corley, J., Welstead, 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 16, e0253153. https://doi.org/10.1371/journal.pone.0253153

Welstead, M., Luciano, M., Muniz-Terrera, G., Saunders, S., Mullin, D.S., et al., (2021a). Predictors of Mild Cognitive Impairment Stability, Progression, or Reversion in the Lothian Birth Cohort 1936. JAD 1–8. https://doi.org/10.3233/JAD-201282

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

Wheater, E., Shenkin, S.D., Muñoz Maniega, S., Valdés Hernández, M., Wardlaw, J.M., et al., (2021). Birth weight is associated with brain tissue volumes seven decades later but not with MRI markers of brain ageing. NeuroImage: Clinical 31, 102776. https://doi.org/10.1016/j.nicl.2021.102776

Yang, T., Jackson, V.E., Smith, A.V., Chen, H., Bartz, T.M., Sitlani, C.M., Psaty, B.M., et al. (2021). Rare and Low-Frequency Exonic Variants and Gene-by-Smoking Interactions in Pulmonary Function. Scientific Reports 11(1): 19365. https://doi.org/10.1038/s41598-021-98120-7

Zhang, J., Lim, H.F., Chappell, F.M., Clancy, U., Wiseman, S., et al. (2021). Relationship between inferior frontal sulcal hyperintensities on brain MRI, ageing and cerebral small vessel disease. Neurobiology of Aging 106, 130–138. https://doi.org/10.1016/j.neurobiolaging.2021.06.013



Alonso, N., Larraz‐Prieto, B., Berg, K., Lambert, Z., Redmond, P., et al. (2020). Loss‐of‐function mutations in the ALPL gene presenting with adult onset osteoporosis and low serum concentrations of total alkaline phosphatase. J Bone Miner Res jbmr.3928. https://doi.org/10.1002/jbmr.3928

Altschul, D., Starr, J., Deary, I. (2020). Blood pressure and cognitive function across the eighth decade: a prospective study of the Lothian Birth Cohort of 1936. BMJ Open 10, e033990. 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 gbz149. https://doi.org/10.1093/geronb/gbz149

Aribisala, B.S., Riha, R.L., Valdes Hernandez, M., Muñoz Maniega, S., Cox, S., et al. (2020). Sleep and brain morphological changes in the eighth decade of life. Sleep Medicine S1389945719302527. https://doi.org/10.1016/j.sleep.2019.07.015

Armstrong, N.J., Mather, K.A., Sargurupremraj, M., Knol, M.J., Malik, R., et al. (2020). Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities. Stroke 51, 2111–2121. https://doi.org/10.1161/STROKEAHA.119.027544

Ballerini, L., Booth, T., Valdés Hernández, M.D.C., Wiseman, S., Lovreglio, R., 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 Clin 25, 102120. https://doi.org/10.1016/j.nicl.2019.102120

Ballerini, L., McGrory, S., Valdés Hernández, M. del C., Lovreglio, R., Pellegrini, E., 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.

Beange, I., Kirkham, E.J., Fletcher-Watson, S., Iveson, M.H., Lawrie, S.M., et al. (2020). Using a knowledge exchange event to assess study participants’ attitudes to research in a rapidly evolving research context. Wellcome Open Res 5, 24. https://doi.org/10.12688/wellcomeopenres.15651.1

Beaudet, G., Tsuchida, A., Petit, L., Tzourio, C., Caspers, S., 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.

Biton, A., Traut, N., Poline, J.-B., Aribisala, B.S., Bastin, M.E., et al. (2020). Polygenic Architecture of Human Neuroanatomical Diversity. Cerebral Cortex bhz241. 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 35, 806–817. https://doi.org/10.1037/pag0000477

Colicino, E., Marioni, R., Ward-Caviness, C., Gondalia, R., Guan, W., et al. (2020). Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals. Aging.

Corley, J. (2020). Adherence to the MIND diet is associated with 12-year all-cause mortality in older adults. Public Health Nutr. 1–10. https://doi.org/10.1017/S1368980020002979

Corley, J., Cox, S., Taylor, A., Valdes Hernandez, M., Muñoz Maniega, S., 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., Liu, M., Jackson, V.E., Barnes, D.R., Datta, G., et al. (2020). Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Mol Psychiatry. https://doi.org/10.1038/s41380-018-0313-0

Fawcett, K.A., Obeidat, M., Melbourne, C., Shrine, N., Guyatt, A.L., et al. (2020). Variants associated with HHIP expression have sex-differential effects on lung function. Wellcome Open Research 5, 111. https://doi.org/10.12688/wellcomeopenres.15846.1

Fuentes, L. de las, Sung, Y.J., Noordam, R., Winkler, T., Feitosa, M.F., et al. (2020). Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol 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. J Epidemiol Community Health. https://doi.org/10.1136/jech-2019-213280

Graham, E.K., Weston, S.J., Gerstorf, D., Yoneda, T.B., Booth, T., 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., Weston, S.J., Turiano, N.A., Ashwanden, D., Booth, T., et al. (2020). Is Healthy Neuroticism Associated with Health Behaviors? A Coordinated Integrative Data Analysis. Collabra: Psychology 6, 32. https://doi.org/10.1525/collabra.266

Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J., et al. (2020). The genetic architecture of the human cerebral cortex. Science 367. https://doi.org/10.1126/science.aay6690

Harris, S.E., Cox, S.R., Bell, S., Marioni, R.E., Prins, B.P., 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, Robert F., Trejo-Banos, D., Kousathanas, A., McCartney, D.L., Harris, S., et al. (2020). Multi-method genome and epigenome wide studies of inflammatory protein levels in healthy older adults. Genome Medicine.

Hofer, E., Roshchupkin, G.V., Adams, H.H.H., Knol, M.J., Lin, H., et al. (2020). Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults. Nat Commun 11, 4796. https://doi.org/10.1038/s41467-020-18367-y

Li, S., Lund, J.B., Christensen, K., Baumbach, J., Mengel-From, J., et al. (2020). Exploratory analysis of age and sex dependent DNA methylation patterns on the X-chromosome in whole blood samples. Genome Med 12, 39. https://doi.org/10.1186/s13073-020-00736-3

Lund, Jesper B, Li, S., Baumbach, J., Christensen, K., Li, W., 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, Jesper B., Li, S., Christensen, K., Mengel-From, J., Soerensen, M., 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., Rebholz, C.M., Braun, K.V.E., Reynolds, L.M., Aslibekyan, S., et al. (2020). Whole Blood DNA Methylation Signatures of Diet Are Associated With Cardiovascular Disease Risk Factors and All-Cause Mortality. Circ: Genomic and Precision Medicine 13. https://doi.org/10.1161/CIRCGEN.119.002766

Maria J. Knol, Lu, D., Traylor, M., Adams, H.H.H., Rafael Romero, 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., Cole, J.H., Harris, S.E., Marioni, R.E., Deary, I.J., et al. (2020). Attitudes to ageing, biomarkers of ageing and mortality: the Lothian Birth Cohort 1936. J Epidemiol Community Health. https://doi.org/10.1136/jech-2019-213462

Moodie, J.E., Ritchie, S.J., Cox, S.R., Harris, M.A., Muñoz Maniega, S., et al. (2020). Fluctuating asymmetry in brain structure and general intelligence in 73-year-olds. Intelligence 78, 101407. https://doi.org/10.1016/j.intell.2019.101407

Okely, J.A., Corley, J., Welstead, M., Taylor, A.M., Page, D., et al. (2020). Change in Physical Activity, Sleep Quality, and Psychosocial Variables during COVID-19 Lockdown: Evidence from the Lothian Birth Cohort 1936. IJERPH 18, 210. 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. J Gerontol A Biol Sci Med Sci. https://doi.org/10.1093/gerona/glaa023

Parker, N., Vidal-Pineiro, D., French, L., Shin, J., Adams, H.H.H., et al. (2020). Corticosteroids and Regional Variations in Thickness of the Human Cerebral Cortex across the Lifespan. Cerebral Cortex bhz108. https://doi.org/10.1093/cercor/bhz108

Praveen Surendran, Feofanova, E.V., Lahrouchi, N., Ntalla, I., Karthikeyan, S., et al. (2020). Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals. Nat Genet. https://doi.org/10.1038/s41588-020-00713-x

Ritchie, S.J., Hill, W.D., Marioni, R.E., Davies, G., Hagenaars, S.P., et al. (2020). Polygenic predictors of age-related decline in cognitive ability. Mol Psychiatry. https://doi.org/10.1038/s41380-019-0372-x

Sargurupremraj, M., Suzuki, H., Jian, X., Sarnowski, C., Evans, T.E., et al. (2020). Cerebral small vessel disease genomics and its implications across the lifespan. Nat Commun 11, 6285. https://doi.org/10.1038/s41467-020-19111-2

Seeboth, A., McCartney, D.L., Wang, Y., Hillary, R.F., Stevenson, A.J., et al. (2020). DNA methylation outlier burden, health, and ageing in Generation Scotland and the Lothian Birth Cohorts of 1921 and 1936. Clin Epigenetics 12, 49. https://doi.org/10.1186/s13148-020-00838-0

Shin, J., Ma, S., Hofer, E., Patel, Y., Vosberg, D.E., et al. (2020). Global and Regional Development of the Human Cerebral Cortex: Molecular Architecture and Occupational Aptitudes. Cerebral Cortex 30, 4121–4139. https://doi.org/10.1093/cercor/bhaa035

Sibbett, R.A., Altschul, D.M., Marioni, R.E., Deary, I.J., Starr, J.M., 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 20, 91. https://doi.org/10.1186/s12888-020-2469-9

Stevenson, A.J., McCartney, D.L., Hillary, R.F., Campbell, A., Morris, S.W., et al. (2020). Characterisation of an inflammation-related epigenetic score and its association with cognitive ability. Clin Epigenet 12, 113. 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. Psychol Aging. https://doi.org/10.1037/pag0000419

Toombs, J., Panther, L., Ornelas, L., Liu, C., Gomez, E., 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., McCartney, D.L., Patxot, M., Anchieri, L., Battram, T., et al. (2020). Bayesian reassessment of the epigenetic architecture of complex traits. Nat Commun 11, 2865. https://doi.org/10.1038/s41467-020-16520-1

Turiano, N.A., Graham, E.K., Weston, S., Booth, T., Harrison, F., et al. (2020). Is Healthy Neuroticism Associated with Longevity? A Coordinated Integrative Data Analysis. Collabra: Psychology 6, 33. https://doi.org/10.1525/collabra.268

Valdés Hernández, M. del C., Ballerini, L., Glatz, A., Muñoz Maniega, S., Gow, A.J., 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., Muniz-Terrera, G., Russ, T.C., Corley, J., Taylor, A.M., et al. (2020). Inflammation as a risk factor for the development of frailty in the Lothian Birth Cohort 1936. Experimental Gerontology 139, 111055. https://doi.org/10.1016/j.exger.2020.111055

Westerman, K., Fernández‐Sanlés, A., Patil, P., Sebastiani, P., Jacques, P., et al. (2020). Epigenomic Assessment of Cardiovascular Disease Risk and Interactions With Traditional Risk Metrics. JAHA 9. https://doi.org/10.1161/JAHA.119.015299

Weston, S.J., Graham, E.K., Turiano, N.A., Aschwanden, D., Booth, T., et al. (2020). Is Healthy Neuroticism Associated with Chronic Conditions? A Coordinated Integrative Data Analysis. Collabra: Psychology 6, 42. https://doi.org/10.1525/collabra.267

Wragg, D., Liu, Q., Lin, Z., Riggio, V., Pugh, C.A., et al. (2020). Using regulatory variants to detect gene–gene interactions identifies networks of genes linked to cell immortalisation. Nat Commun 11, 343. https://doi.org/10.1038/s41467-019-13762-6

Wu, Y., Qi, T., Wang, H., Zhang, F., Zheng, Z., et al. (2020). Promoter-anchored chromatin interactions predicted from genetic analysis of epigenomic data. Nat Commun 11, 2061. https://doi.org/10.1038/s41467-020-15587-0



Bateson, M., Aviv, A., Bendix, L., Benetos, A., Ben-Shlomo, Y., et al. (2019). Smoking does not accelerate leucocyte telomere attrition: a meta-analysis of 18 longitudinal cohorts. R. Soc. open sci. 6, 190420. https://doi.org/10.1098/rsos.190420

Bentley, A.R., Sung, Y.J., Brown, M.R., Winkler, T.W., Kraja, A.T., et al. (2019). Multi-ancestry genome-wide gene–smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids. Nat Genet 51, 636–648. https://doi.org/10.1038/s41588-019-0378-y

Bermingham, M.L., Walker, R.M., Marioni, R.E., Morris, S.W., Rawlik, K., 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., Dykiert, D., Corley, J., Gow, A., Morris, Z., et al. (2019). Reaction time variability and brain white matter integrity. Neuropsychology.

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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

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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

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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

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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

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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



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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

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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

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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

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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

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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



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



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



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

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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

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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

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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



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