The field of cognitive epidemiology studies the prospective associations between cognitive abilities and health outcomes. We review research in this field over the past decade and describe how our understanding of the association between intelligence and all-cause mortality has consolidated with the appearance of new, population-scale data. To try to understand the association better, we discuss how intelligence relates to specific causes of death, diseases/diagnoses and biomarkers of health through the adult life course. We examine the extent to which mortality and health associations with intelligence might be attributable to people’s differences in education, other indicators of socioeconomic status, health literacy and adult environments and behaviours. Finally, we discuss whether genetic data provide new tools to understand parts of the intelligence–health associations. Social epidemiologists, differential psychologists and behavioural and statistical geneticists, among others, contribute to cognitive epidemiology; advances will occur by building on a common cross-disciplinary knowledge base.
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Whalley, L. J. & Deary, I. J. Longitudinal cohort study of childhood IQ and survival up to age 76. Br. Med. J. 322, 819 (2001).
Deary, I. J. & Batty, G. D. Cognitive epidemiology: a glossary. J. Epidemiol. Community Health 61, 378–384 (2007).
Deary, I. J. Introduction to the special issue on cognitive epidemiology. Intelligence 37, 517–519 (2009).
Deary, I. J. Cognitive epidemiology: its rise, its current issues, and its challenges. Pers. Individ. Diff. 49, 337–343 (2010).
Deary, I. J., Weiss, A. & Batty, G. D. Intelligence and personality as predictors of illness and death: how researchers in differential psychology and chronic disease epidemiology are collaborating to understand and address health inequalities. Psychol. Sci. Public Interest 11, 53–79 (2010).
Calvin, C. M. et al. Intelligence in youth and all-cause mortality: systematic review with meta-analysis. Int. J. Epidemiol. 40, 626–644 (2011).
Schmidt, F. L. & Hunter, J. General mental ability in the world of work: occupational attainment and job performance. J. Pers. Soc. Psychol. 86, 162–173 (2004).
Strenze, T. Intelligence and socio-economic success: a meta-analytic review of longitudinal research. Intelligence 35, 401–426 (2007).
Ritchie, S. J. & Tucker-Drob, E. M. How much does education improve intelligence? A meta-analysis. Psychol. Sci. 29, 1358–1369 (2018).
Bosworth, B. Increasing disparities in mortality by socioeconomic status. Ann. Rev. Public Health 39, 237–251 (2018).
Byhoff, E., Hamati, M. C., Power, R., Burgard, S. A. & Chopra, V. Increasing educational attainment and mortality reduction: a systematic review and taxonomy. BMC Public Health 17, 719 (2017).
Korda, R. J. et al. Education inequalities in adult all-cause mortality: first national data for Australia using linked census and mortality data. Int. J. Epidemiol. 49, 511–518 (2020).
Gottfredson, L. S. Intelligence: is it the epidemiologists’ elusive “fundamental cause” of social class inequalities in health? J. Pers. Soc. Psychol. 86, 174–199 (2004).
Clouston, S. A., Richards, M., Cadar, D. & Hofer, S. M. Educational inequalities in health behaviors at midlife: is there a role for early-life cognition? J. Health Soc. Behav. 56, 323–340 (2015).
Hauser, R. M. & Palloni, A. Adolescent IQ and survival in the Wisconsin Longitudinal Study. J. Gerontol. B 66B, 91–101 (2011).
Maller, J. B. Vital indices and their relation to psychological and social factors. Hum. Biol. 5, 94–121 (1933).
Furu, M., Lindgarde, F., Ljung, B.-O., Munck, I. & Kristenson, H. Premature death, cognitive ability and socio-economic background: A longitudinal study of 834 men. Stockholm Institute of Education: Department of Educational Research: Reports on Education and Psychology Nr 1 (1984).
O’Toole, B. I., Adena, M. A. & Jones, M. P. Risk factors for mortality in Australian Vietnam-era national servicemen: a case–control study. Community Health Stud. 12, 408–417 (1988).
O’Toole, B. I. & Stankov, L. Ultimate validity of psychological tests. Pers. Individ. Diff. 13, 699–716 (1992).
Funder, D. C. & Ozer, D. J. Evaluating effect size in psychological research: sense and nonsense. Adv. Methods Pract. Psychol. Sci. 2, 156–168 (2019).
Batty, G. D. et al. IQ in early adulthood and mortality by middle age: cohort study of 1 million Swedish men. Epidemiology 20, 100–109 (2009).
Iveson, M. H., Čukić, I., Der, G., Batty, G. D. & Deary, I. J. Intelligence and all-cause mortality in the 6-Day Sample of the Scottish Mental Survey 1947 and their siblings: testing the contribution of family background. Int. J. Epidemiol. 47, 89–96 (2018).
Bratsberg, B. & Rogeberg, O. Childhood socioeconomic status does not explain the IQ–mortality gradient. Intelligence 62, 148–154 (2017).
Christensen, G. T., Mortensen, E. L., Christensen, K. & Osler, M. Intelligence in young adulthood and cause-specific mortality in the Danish Conscription Database—a cohort study of 728,160 men. Intelligence 59, 64–71 (2016).
Čukić, I., Brett, C. E., Calvin, C. M., Batty, G. D. & Deary, I. J. Childhood IQ and survival to 79: follow-up of 94% of the Scottish Mental Survey 1947. Intelligence 63, 45–50 (2017).
Lager, A., Seblova, D., Falkstedt, D. & Lovden, M. Cognitive and emotional outcomes after prolonged education: a quasi-experiment on 320,182 Swedish boys. Int. J. Epidemiol. 46, 303–311 (2016).
Twig, G. et al. Cognitive function in adolescence and the risk for premature diabetes and cardiovascular mortality in adulthood. Cardiovasc. Diabetol. 17, 154 (2018).
Calvin, C. M. et al. Childhood intelligence in relation to major causes of death in 68 year follow-up: prospective population study. Br. Med. J. 357, j2708 (2017).
Hayat, A. A. et al. Understanding the relationship between cognition and death: a within cohort examination of cognitive measures and mortality. Eur. J. Epidemiol. 33, 1049–1062 (2018).
O’Toole, B. I. Intelligence and behaviour and motor vehicle accident mortality. Accid. Anal. Prev. 22, 211–221 (1990).
Gunnell, D., Magnusson, P. K. & Rasmussen, F. Low intelligence test scores in 18 year old men and risk of suicide: cohort study. Br. Med. J. 330, 167 (2005).
Batty, G. D., Deary, I. J., Tengstrom, A. & Rasmussen, F. IQ in early adulthood and later risk of death by homicide: cohort study of 1 million men. Br. J. Psychiat. 193, 461–465 (2008).
Wraw, C., Deary, I. J., Gale, C. R. & Der, G. Intelligence in youth and health at age 50. Intelligence 53, 23–32 (2015).
Osler, M., Christensen, G. T., Garde, E., Mortensen, E. L. & Christensen, K. Cognitive ability in young adulthood and risk of dementia in a cohort of Danish men, brothers, and twins. Alzheimers Dement. 13, 1355–1363 (2017).
Nyberg, J. et al. Cardiovascular and cognitive fitness at age 18 and risk of early-onset dementia. Brain 137, 1514–1523 (2014).
Huang, A. R., Strombotne, K. L., Horner, E. M. & Lapham, S. J. Adolescent cognitive aptitudes and later-in-life Alzheimer disease and related disorders. JAMA Netw. Open 1, e181726 (2018).
Russ, T. C. et al. Childhood cognitive ability and incident dementia. Epidemiology 28, 361–364 (2017).
Schmidt, M. et al. Cognitive test scores in young men and subsequent risk of type 2 diabetes, cardiovascular morbidity, and death. Epidemiology 24, 632–636 (2013).
Christensen, G. T., Rozing, M. P., Mortensen, E. L., Christensen, K. & Osler, M. L. Young adult cognitive ability and subsequent major depression in a cohort of 666,804 Danish men. J. Affect. Disord. 235, 162–167 (2018).
Richards, M. et al. IQ in childhood and the metabolic syndrome in middle age. Intelligence 37, 567–572 (2009).
Gale, C. R., Batty, G. D., Tynelius, P., Deary, I. J. & Rasmussen, F. Intelligence in early adulthood and subsequent hospitalization for mental disorders. Epidemiology 21, 70–77 (2010).
Twig, G. et al. Cognitive function and the risk for diabetes among young men. Diabetes Care 37, 2982–2988 (2014).
Altschul, D. M., Wraw, C., Der, G., Gale, C. R. & Deary, I. J. Hypertension development by midlife and the roles of premorbid cognitive function, sex, and their interaction. Hypertension 73, 812–819 (2019).
Kraft, M., Arts, K., Traag, T., Otten, F. & Bosma, H. The contribution of intellectual abilities to young adult’s educational differences in health care use. Intelligence 68, 1–5 (2018).
Karama, S. et al. Childhood cognitive ability accounts for associations between cognitive ability and brain cortical thickness in old age. Mol. Psychiat. 19, 555–559 (2014).
Luciano, M. et al. Reverse causation in the association between C-reactive protein ad fibrinogen levels and cognitive abilities in an ageing sample. Psychosom. Med. 71, 404–409 (2009).
Gow, A. J. et al. Cytomegalovirus infection and cognitive abilities in old age. Neurobiol. Aging 34, 1846–1852 (2013).
Altschul, D. M., Starr, J. M. & Deary, I. J. Cognitive function in early and later life is associated with blood glucose in older individuals: analysis of the Lothian Birth Cohort of 1936. Diabetologia 61, 1946–1955 (2018).
Gale, C. R., Boot, T., Starr, J. M. & Deary, I. J. 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 (2016).
Sorberg, A., Allebeck, P. & Hemmingsson, T. IQ and somatic health in late adolescence. Intelligence 44, 155–162 (2014).
Cukierman-Yaffe, T. et al. Cognitive performance at late adolescence and the risk for impaired fasting glucose among young adults. J. Clin. Endocrinol. Metab. 100, 4409–4416 (2015).
Schaefer, J. D. et al. Early-life intelligence predicts midlife biological age. J. Gerontol. B 71, 968–977 (2016).
Belsky, D. W. et al. Impact of personal-history characteristics on the Pace of Aging: implications for clinical trials of therapies to slow aging and extend healthspan. Aging Cell 16, 644–651 (2017).
Ariansen et al. The educational gradient in coronary heart disease: the association with cognition in a cohort of 57,279 male conscripts. J. Epidemiol. Community Health 69, 322–329 (2015).
Meincke, R. H., Osler, M., Mortensen, E. L. & Hansen, A. M. Is intelligence in early adulthood associated with midlife physical performance among Danish males?. J. Aging Health 28, 530–545 (2016).
Vasilopoulos, T. et al. Individual differences in cognitive ability at age 20 predict pulmonary function 35 years later. J. Epidemiol. Community Health 69, 261–265 (2015).
Deary, I. J., Whalley, L. J., Batty, G. D. & Starr, J. M. Physical fitness and lifetime cognitive change. Neurology 67, 1195–1200 (2006).
Backhouse, E. V., McHutchison, C. A., Cvoro, V., Shenkin, S. D. & Wardlaw, J. M. Early life risk factors for cerebrovascular disease: a systematic review and meta-analysis. Neurology 88, 109 (2017).
Calvin, C. M. et al. Multivariate genetic analyses of cognition and education from two population samples of 174,000 and 166,000 school children. Behav. Genet. 42, 699–710 (2012).
Lee, J. J. et al. Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nat. Genet. 50, 1112–1121 (2018).
Deary, I. J. & Johnson, W. Intelligence and education: causal perceptions drive analytic processes and therefore conclusions. Int. J. Epidemiol. 39, 1362–1369 (2010).
Marmot, M. & Kivimaki, M. Social inequalities in mortality: a problem of cognitive function? Eur. Heart J. 30, 1819–1820 (2009).
Trzaskowski, M. et al. Genetic influence on family socioeconomic status and children’s intelligence. Intelligence 42, 83–88 (2014).
Krapohl, E. & Plomin, R. Genetic link between family socioeconomic status and children’s educational achievement estimated from genome-wide SNPs. Mol. Psychiat. 21, 437–443 (2016).
Bridger, E. & Daly, M. Does cognitive ability buffer the link between childhood disadvantage and adult health? Health Psychol. 36, 966–976 (2017).
Mõttus, R., Luciano, M., Starr, J. M., McCarthy, M. I. & Deary, I. J. Childhood cognitive ability moderates later-life manifestation of type 2 diabetes genetic risk. Health Psychol. 34, 915–919 (2015).
Sanderson, E., Smith, G. D., Bowden, J. & Munafò, M. R. Mendelian randomisation analysis of the effect of educational attainment and cognitive ability on smoking behaviour. Nat. Commun. 10, 2949 (2019).
Wraw, C., Der, G., Gale, C. R. & Deary, I. J. Intelligence in youth and health behaviours in middle age. Intelligence 69, 71–86 (2018).
Batty, G. D. et al. Childhood mental ability and adult alcohol intake and alcohol problems: the 1970 British Cohort Study. Am. J. Public. Health 98, 2237–2243 (2008).
Gale, C. R., Deary, I. J., Schoon, I. & Batty, G. D. IQ in childhood and vegetarianism in adulthood: the 1970 British Cohort Study. Br. Med. J. 334, 245 (2007).
Batty, G. D., Deary, I. J., Schoon, I. & Gale, C. R. Childhood mental ability in relation to food intake and physical activity in adulthood: the 1970 British Cohort Study. Pediatrics 119, e38–e45 (2007).
Osler, M., Godtfredsen, N. S. & Prescott, E. Childhood social circumstances and health behaviour in midlife: the Metropolit 1953 Danish male birth cohort. Int. J. Epidemiol. 37, 1367–1384 (2008).
Batty, G. D., Deary, I. J., Schoon, I. & Gale, C. R. Mental ability across childhood in relation to risk factors for premature mortality in adult life: the 1970 British Cohort Study. J. Epidemiol. Community Health 61, 997–1003 (2007).
Sjölund, S., Hemmingsson, T. & Allebeck, P. IQ and level of alcohol consumption—findings from a national survey of Swedish conscripts. Alcohol. Clin. Exp. Res. 39, 548–555 (2015).
Corley, J. et al. Alcohol intake and cognitive abilities in old age: the Lothian Birth Cohort 1936 study. Neuropsychology 25, 166–175 (2011).
Sjölund, S., Allebeck, P. & Hemmingsson, T. Intelligence quotient (IQ) in adolescence and later risk of alcohol-related hospital admissions and deaths-37-year follow-up of Swedish conscripts. Addiction 107, 89–97 (2012).
Cheng, H. & Furnham, A. Correlates of adult binge drinking: evidence from a British cohort. PLoS ONE 8, e78838 (2013).
Batty, G. D., Deary, I. J. & Macintyre, S. Childhood IQ and life course socioeconomic position in relation to alcohol induced hangovers in adulthood: the Aberdeen Children of the 1950s study. J. Epidem. Community Health 60, 872–874 (2006).
Sjölund, S., Hemmingsson, T., Gustafsson, J.-E. & Allebeck, P. IQ and alcohol-related morbidity and mortality among Swedish men and women: the importance of socioeconomic position. J. Epidemiol. Community Health 69, 858–864 (2015).
Taylor, M. et al. Childhood mental ability and smoking cessation in adulthood: prospective observational study linking the Scottish Mental Survey 1932 and the Midspan studies. J. Epidemiol. Community Health 57, 464–465 (2003).
Daly, M. & Egan, M. Childhood cognitive ability and smoking initiation, relapse and cessation throughout adulthood: evidence from two British cohort studies. Addiction 112, 651–659 (2017).
Batty, G. D., Deary, I. J. & Macintyre, S. Childhood IQ in relation to risk factors for premature mortality in middle-aged persons: the Aberdeen Children of the 1950s study. J. Epidemiol. Community Health 61, 241–247 (2007).
Kumpulainen, S. M. et al. Childhood cognitive ability and physical activity in young adulthood. Health Psychol. 36, 587–597 (2017).
Wallert, J., Lissaker, C., Madison, G., Held, C. & Olsson, E. Young adulthood cognitive ability predicts statin adherence in middle-aged men after first myocardial infarction: a Swedish National Registry study. Eur. J. Prev. Cardiol. 24, 639–646 (2017).
Berkman, N. D., Sheridan, S. L., Donahue, K. E., Halpern, D. J. & Crotty, K. Low health literacy and health outcomes: an updated systematic review. Ann. Intern. Med. 155, 97–107 (2011).
von Wagner, C., Steptoe, A., Wolf, M. S. & Wardle, J. Health literacy and health actions: a review and a framework from health psychology. Health Educ. Behav. 36, 860–877 (2009).
Bostock, S. & Steptoe, A. Association between low functional health literacy and mortality in older adults: longitudinal cohort study. Br. Med. J. 344, e1602 (2012).
Smith, S. G., Jackson, S. E., Kobayashi, L. C. & Steptoe, A. Social isolation, health literacy, and mortality risk: findings from the English Longitudinal Study of Ageing. Health Psychol. 37, 160–169 (2018).
Fawns-Ritchie, C., Starr, J. M. & Deary, I. J. 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 8, e022502 (2018).
Mõttus, R. et al. Towards understanding the links between health literacy and physical health. Health Psychol. 33, 164–173 (2014).
Reeve, C. L. & Basalik, D. Is health literacy an example of construct proliferation? A conceptual and empirical valuation of its redundancy with general cognitive ability. Intelligence 44, 93–102 (2014).
Kelley, T. L. Interpretation of Educational Measurements, pp. 62–65 (World Book Company, 1927).
Marioni, R. E. et al. Molecular genetic contributions to socioeconomic status and intelligence. Intelligence 44, 26–32 (2014).
Haworth, C. M. et al. The heritability of general cognitive ability increases linearly from childhood to young adulthood. Mol. Psychiatry 15, 1112–1120 (2010).
Plomin, R. & Deary, I. J. Genetics and intelligence differences: five special findings. Mol. Psychiat. 20, 98–108 (2015).
Hill, W. D. et al. A combined analysis of genetically correlated traits identifies 187 loci and a role for neurogenesis and myelination in intelligence. Mol. Psychiatry 24, 169–181 (2018).
Davies, G. et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nat. Commun. 9, 2098 (2018).
Savage, J. E. et al. Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence. Nat. Genet. 50, 912–919 (2018).
Hill, W. D. et al. Genomic analysis of family data reveals additional genetic effects on intelligence and personality. Mol. Psychiat. 23, 2347–2362 (2018).
Yang, J. et al. Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index. Nat. Genet. 47, 1114 (2015).
Harris, S. E. et al. Molecular genetic contributions to self-rated health. Int. J. Epidemiol. 46, 994–1009 (2016).
Romeis, J. C. et al. Heritability of self-reported health. Health Serv. Res. 35, 995–1010 (2000).
Okbay, A. et al. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat. Genet. 48, 624 (2016).
Bartels, M. & Boomsma, D. I. Born to be Happy? The etiology of subjective well-being. Behav. Genet. 39, 605 (2009).
Furberg, H. et al. Genome-wide meta-analyses identify multiple loci associated with smoking behavior. Nat. Genet. 42, 441–447 (2010).
Deelen, J. et al. Genome-wide association meta-analysis of human longevity identifies a novel locus conferring survival beyond 90 years of age. Hum. Mol. Genet 23, 4420–4432 (2014).
Luciano, M. et al. Shared genetic aetiology between cognitive ability and cardiovascular disease risk factors: Generation Scotland’s Scottish Family Health Study. Intelligence 38, 304–313 (2010).
Arden, R. et al. The association between intelligence and lifespan is mostly genetic. Int. J. Epidemiol. 45, 178–185 (2015).
Deary, I. J., Harris, S. E. & Hill, W. D. What genome-wide association studies reveal about the association between intelligence and physical health, illness, and mortality. Curr. Opin. Psychol. 27, 6–12 (2019).
Hill, W. D., Harris, S. E. & Deary, I. J. What genome-wide association studies reveal about the association between intelligence and mental health. Curr. Opin. Psychol. 27, 25–30 (2019).
Rietveld, C. A. et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method. Proc. Natl Acad. Sci. U. S. A. 111, 13790–13794 (2014).
Deary, I. J. et al. Genetic contributions to stability and change in intelligence from childhood to old age. Nature 482, 212–215 (2012).
Hill, W. D. et al. Age-dependent pleiotropy between general cognitive function and major psychiatric disorders. Biol. Psychiat. 80, 266–273 (2016).
Hill, W. D & Deary, I. J. Shared genetic aetiology between childhood intelligence and longevity. Preprint at medRxiv https://doi.org/10.1101/2021.02.10.21251491
Fry, A. et al. Comparison of sociodemographic and health-related characteristics of UK biobank participants with those of the general population. Am. J. Epidemiol. 186, 1026–1034 (2017).
Davies, N. M., Holmes, M. V. & Smith, G. D. Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians. Br. Med. J. 362, 1–11 (2018).
Anderson, E. L. et al. Education, intelligence and Alzheimer’s disease: evidence from a multivariable two-sample Mendelian randomization study. Int. J. Epidemiol. 49, 1163–1172 (2020).
Sanderson, E., Smith, G. D., Windmeijer, F. & Bowden, J. An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings. Int. J. Epidemiol. 48, 713–727 (2019).
Davies, N. M. et al. Multivariable two-sample Mendelian randomization estimates of the effects of intelligence and education on health. eLife 8, e43990 (2019).
Iveson, M. H., Dibben, C. & Deary, I. J. Early life circumstances and the risk of function-limiting long-term conditions in later life. Longitud. Life Course Stud. 11, 157–180 (2020).
Caspi, A. et al. Childhood forecasting of a small segment of the population with large economic burden. Nat. Hum. Behav. 1, 0005 (2016).
Deary, I. J. Intelligence. Annu. Rev. Psychol. 63, 453–482 (2012).
Carroll, J. B. Human Cognitive Abilities: A Survey of Factor Analytic Studies (Oxford Univ. Press, 1993).
Spearman, C. “General intelligence,” objectively determined and measured. Am. J. Psychol. 15, 201–293 (1904).
Spearman, C. The Abilities of Man: Their Nature and Measurement (MacMillan, 1927).
Deary, I. J. The stability of intelligence from childhood to old age. Curr. Dir. Psychol. Sci. 23, 239–245 (2014).
de la Fuente, J., Davies, G., Grotzinger, A. D., Tucker-Drob, E. M. & Deary, I. J. A general dimension of genetic sharing across diverse cognitive traits inferred from molecular data. Nat. Hum. Behav. 5, 49–58 (2021).
Salthouse, T. A. Trajectories of normal cognitive aging. Psychol. Aging 34, 17–24 (2019).
Tucker-Drob, E. M., Brandmaier, A. M. & Lindenberger, U. Coupled cognitive changes in adulthood: a meta-analysis. Psychol. Bull. 145, 273–301 (2019).
Cox, S. R., Ritchie, S. J., Fawns-Ritchie, C., Tucker-Drob, E. M. & Deary, I. J. Structural brain imaging correlates of general. Intell. UK Biobank. Intell. 76, 101376 (2019).
Deary, I. J. Looking for ‘system integrity’ in cognitive epidemiology. Gerontology 58, 545–553 (2012).
Harden, K. P. & Koellinger, P. D. Using genetics for social science. Nat. Hum. Behav. (in press). https://doi.org/10.1038/s41562-020-0862-5
Visscher, P. M., Hill, W. G. & Wray, N. R. Heritability in the genomics era—concepts and misconceptions. Nat. Rev. Genet. 9, 255–266 (2008).
Yang, J., Lee, S. H., Goddard, M. E. & Visscher, P. M. GCTA: a tool for genome-wide complex trait analysis. Am. J. Hum. Genet. 88, 76–82 (2011).
Yang, J. et al. Genome partitioning of genetic variation for complex traits using common SNPs. Nat. Genet. 43, 519–525 (2011).
Bulik-Sullivan, B. K. et al. LD score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat. Genet. 47, 291 (2015). (2015).
Solovieff, N., Cotsapas, C., Lee, P. H., Purcell, S. M. & Smoller, J. W. Pleiotropy in complex traits: challenges and strategies. Nat. Rev. Genet. 14, 483 (2013).
Abdellaoui et al. Genetic correlates of social stratification in Great Britain. Nat. Hum. Behav. 3, 1332–1342 (2019).
Hill, W. D. et al. Molecular genetic contributions to social deprivation and household income in UK Biobank. Curr. Biol. 26, 3083–3089 (2016).
Hill, W. D. et al. Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income. Nat. Commun. 10, 5741 (2019).
Smith, G. D. & Ebrahim, S. ‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease? Int. J. Epidemiol. 32, 1–22 (2003).
Smith, G. D. & Ebrahim, S. What can Mendelian randomisation tell us about modifiable behavioural and environmental exposures? Br. Med. J. 330, 1076–1079 (2005).
Wang, B. et al. Genetic nurture effects on education: a systematic review and meta-analysis. bioRxiv, https://doi.org/10.1101/2021.01.15.426782
Koellinger, P. D. & de Vlaming, R. Mendelian randomization: the challenge of unobserved environmental confounds. Int. J. Epidemiol. 48, 665–671 (2019).
Davies, N. M. et al. Within family Mendelian randomisation studies. Hum. Mol. Genet. 28, 170–179 (2019).
The authors are members of the Lothian Birth Cohorts group at the University of Edinburgh, which is supported by Age UK (Disconnected Mind grant), the Medical Research Council (MR/R024065/1) and the US National Institutes of Health (1RO1AG054628-01A1). The authors are grateful to D. Altschul for helpful comments on the article.
The authors declare no competing interests.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Deary, I.J., Hill, W.D. & Gale, C.R. Intelligence, health and death. Nat Hum Behav 5, 416–430 (2021). https://doi.org/10.1038/s41562-021-01078-9
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