Using genetics for social science

The weirdest people in the world?

Henrich, J., Heine, S. J., & Norenzayan, A. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0999152x · Cited by 12,641 · see citing works

Principal components analysis corrects for stratification in genome-wide association studies

Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248 · see citing works

A Theory of Justice

Rawls, J. (1971) · Princeton University Press eBooks · doi:10.2307/j.ctv19fvzzk.68 · Cited by 9,464 · see citing works

The UK Biobank resource with deep phenotyping and genomic data

Bycroft, C., Freeman, C., Petkova, D., Band, G., Elliott, L. T., Sharp, K., Motyer, A., Vukcevic, D., Delaneau, O., O’Connell, J., et al. (2018) · Nature · doi:10.1038/s41586-018-0579-z · Cited by 8,876 · see citing works

Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases

Verbanck, M., Chen, C.-Y., Neale, B., & Do, R. (2018) · Nature Genetics · doi:10.1038/s41588-018-0099-7 · Cited by 8,591 · see citing works

Finding the missing heritability of complex diseases

Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336 · see citing works

An integrated map of genetic variation from 1,092 human genomes

The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711 · see citing works

Statistics and Causal Inference

Holland, P. W. (1986) · Journal of the American Statistical Association · doi:10.1080/01621459.1986.10478354 · Cited by 5,293 · see citing works

Mendelian randomization: genetic anchors for causal inference in epidemiological studies

Davey Smith, G., & Hemani, G. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu328 · Cited by 4,677 · see citing works

An atlas of genetic correlations across human diseases and traits

ReproGen Consortium, Bulik-Sullivan, B., Psychiatric Genomics Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, Finucane, H. K., Anttila, V., Gusev, A., Day, F. R., Loh, P.-R., Duncan, L., et al. (2015) · Nature Genetics · doi:10.1038/ng.3406 · Cited by 4,255 · see citing works

WEIRD languages have misled us, too

Majid, A., & Levinson, S. C. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x1000018x · Cited by 4,169 · see citing works

The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019

Buniello, A., MacArthur, J. A. L., Cerezo, M., Harris, L. W., Hayhurst, J., Malangone, C., McMahon, A., Morales, J., Mountjoy, E., Sollis, E., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1120 · Cited by 4,000 · see citing works

10 Years of GWAS Discovery: Biology, Function, and Translation

Visscher, P. M., Wray, N. R., Zhang, Q., Sklar, P., McCarthy, M. I., Brown, M. A., & Yang, J. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.06.005 · Cited by 3,719 · see citing works

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

eQTLGen, Wray, N. R., 23andMe, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0090-3 · Cited by 3,005 · see citing works

Nature-nurture reconceptualized in developmental perspective: A bioecological model.

Bronfenbrenner, U., & Ceci, S. J. (1994) · Psychological Review · doi:10.1037/0033-295x.101.4.568 · Cited by 2,973 · see citing works

How Much Can We Boost IQ and Scholastic Achievement

Jensen, A. (1969) · Harvard Educational Review · doi:10.17763/haer.39.1.l3u15956627424k7 · Cited by 2,907 · see citing works

Clinical use of current polygenic risk scores may exacerbate health disparities

Martin, A. R., Kanai, M., Kamatani, Y., Okada, Y., Neale, B. M., & Daly, M. J. (2019) · Nature Genetics · doi:10.1038/s41588-019-0379-x · Cited by 2,831 · see citing works

Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

23andMe Research Team, Lee, J. J., COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Wedow, R., Okbay, A., Kong, E., Maghzian, O., Zacher, M., Nguyen-Viet, T. A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0147-3 · Cited by 2,470 · see citing works

Meta-analysis of the heritability of human traits based on fifty years of twin studies

Polderman, T. J. C., Benyamin, B., de Leeuw, C. A., Sullivan, P. F., van Bochoven, A., Visscher, P. M., & Posthuma, D. (2015) · Nature Genetics · doi:10.1038/ng.3285 · Cited by 2,467 · see citing works

Five Years of GWAS Discovery

Visscher, P. M., Brown, M. A., McCarthy, M. I., & Yang, J. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.11.029 · Cited by 2,425 · see citing works

How people make their own environments: a theory of genotype greater than environment effects.

Scarr, S., & Mccartney, K. (1983) · Child Development · doi:10.1111/j.1467-8624.1983.tb03884.x · Cited by 2,385 · see citing works

Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry

Yengo, L., Sidorenko, J., Kemper, K. E., Zheng, Z., Wood, A. R., Weedon, M. N., Frayling, T. M., Hirschhorn, J. N., Yang, J., & Visscher, P. M. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy271 · Cited by 2,305 · see citing works

Defining the role of common variation in the genomic and biological architecture of adult human height

The Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics · doi:10.1038/ng.3097 · Cited by 1,853 · see citing works

Linkage disequilibrium in the human genome

Reich, D., Cargill, M., Gabriel, S., Ireland, J. S., Sabeti, P. C., Richter, D. J., Lavery, T., Kouyoumjian, R., Farhadian, S., Ward, R. H., et al. (2001) · Nature · doi:10.1038/35075590 · Cited by 1,763 · see citing works

The personal and clinical utility of polygenic risk scores

Torkamani, A., Wineinger, N. E., & Topol, E. J. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0018-x · Cited by 1,605 · see citing works

Power and predictive accuracy of polygenic risk scores

Dudbridge, F. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003348 · Cited by 1,509 · see citing works

Efficient Bayesian mixed-model analysis increases association power in large cohorts

Loh, P.-R., Tucker, G., Bulik-Sullivan, B. K., Vilhjálmsson, B. J., Finucane, H. K., Salem, R. M., Chasman, D. I., Ridker, P. M., Neale, B. M., Berger, B., et al. (2015) · Nature Genetics · doi:10.1038/ng.3190 · Cited by 1,507 · see citing works

Human Demographic History Impacts Genetic Risk Prediction across Diverse Populations

Martin, A. R., Gignoux, C. R., Walters, R. K., Wojcik, G. L., Neale, B. M., Gravel, S., Daly, M. J., Bustamante, C. D., & Kenny, E. E. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.03.004 · Cited by 1,391 · see citing works

The Bell Curve

Murray, C. A., & Herrnstein, R. J. (1994) · Cited by 1,383 · see citing works

Genome-wide association study identifies 74 loci associated with educational attainment

Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., Turley, P., Chen, G.-B., Emilsson, V., Meddens, S. F. W., et al. (2016) · Nature · doi:10.1038/nature17671 · Cited by 1,297 · see citing works

Race as biology is fiction, racism as a social problem is real: Anthropological and historical perspectives on the social construction of race

Smedley, A., & Smedley, B. D. (2005) · American Psychologist · doi:10.1037/0003-066x.60.1.16 · Cited by 1,265 · see citing works

Multi-trait analysis of genome-wide association summary statistics using MTAG

23andMe Research Team, Turley, P., Social Science Genetic Association Consortium, Walters, R. K., Maghzian, O., Okbay, A., Lee, J. J., Fontana, M. A., Nguyen-Viet, T. A., Wedow, R., et al. (2018) · Nature Genetics · doi:10.1038/s41588-017-0009-4 · Cited by 1,112 · see citing works

In the Name of Eugenics: Genetics and the Uses of Human Heredity

Rosenberg, C. E., & Kevles, D. J. (1986) · Journal of American History · doi:10.2307/1903699 · Cited by 1,071 · see citing works

A Critical Review of the First 10 Years of Candidate Gene-by-Environment Interaction Research in Psychiatry

Duncan, L. E., & Keller, M. C. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.11020191 · Cited by 1,032 · see citing works

Three Laws of Behavior Genetics and What They Mean

Turkheimer, E. N. (2000) · Current Directions in Psychological Science · doi:10.1111/1467-8721.00084 · Cited by 1,025 · see citing works

Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Study, L. C., Okbay, A., Baselmans, B. M. L., De Neve, J.-E., Turley, P., Nivard, M. G., Fontana, M. A., Meddens, S. F. W., Linnér, R. K., Rietveld, C. A., et al. (2016) · Nature Genetics · doi:10.1038/ng.3552 · Cited by 1,013 · see citing works

Advantages and pitfalls in the application of mixed-model association methods

Yang, J., Zaitlen, N. A., Goddard, M. E., Visscher, P. M., & Price, A. L. (2014) · Nature Genetics · doi:10.1038/ng.2876 · Cited by 981 · see citing works

Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits

Grotzinger, A. D., Rhemtulla, M., de Vlaming, R., Ritchie, S. J., Mallard, T. T., Hill, W. D., Ip, H. F., Marioni, R. E., McIntosh, A. M., Deary, I. J., et al. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0566-x · Cited by 958 · see citing works

Causal associations between risk factors and common diseases inferred from GWAS summary data

Zhu, Z., Zheng, Z., Zhang, F., Wu, Y., Trzaskowski, M., Maier, R., Robinson, M. R., McGrath, J. J., Visscher, P. M., Wray, N. R., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02317-2 · Cited by 951 · see citing works

The nature of nurture: Effects of parental genotypes

Kong, A., Thorleifsson, G., Frigge, M. L., Vilhjalmsson, B. J., Young, A. I., Thorgeirsson, T. E., Benonisdottir, S., Oddsson, A., Halldorsson, B. V., Masson, G., et al. (2018) · Science · doi:10.1126/science.aan6877 · Cited by 949 · see citing works

LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis

Zheng, J., Erzurumluoglu, A. M., Elsworth, B. L., Kemp, J. P., Howe, L., Haycock, P. C., Hemani, G., Tansey, K., Laurin, C., Early Genetics and Lifecourse Epidemiology (EAGLE) Eczema Consortium, et al. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw613 · Cited by 869 · see citing works

GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment

Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H.-J., Shakhbazov, K., Abdellaoui, A., Agrawal, A., et al. (2013) · Science · doi:10.1126/science.1235488 · Cited by 827 · see citing works

Why the Apple Doesn’t Fall Far: Understanding Intergenerational Transmission of Human Capital

Black, S. E., Devereux, P. J., & Salvanes, K. G. (2005) · American Economic Review · doi:10.1257/0002828053828635 · Cited by 825 · see citing works

Heritability estimates versus large environmental effects: The IQ paradox resolved.

Dickens, W. T., & Flynn, J. R. (2001) · Psychological Review · doi:10.1037/0033-295x.108.2.346 · Cited by 663 · see citing works

Research Review: Polygenic methods and their application to psychiatric traits

Wray, N. R., Lee, S., Mehta, D., Vinkhuyzen, A. A. E., Dudbridge, F., & Middeldorp, C. M. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12295 · Cited by 657 · see citing works

Taking race out of human genetics

Yudell, M., Roberts, D., DeSalle, R., & Tishkoff, S. (2016) · Science · doi:10.1126/science.aac4951 · Cited by 631 · see citing works

Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

Study, T. L. C., Day, F. R., The InterAct Consortium, kConFab/AOCS Investigators, Endometrial Cancer Association Consortium, Ovarian Cancer Association Consortium, PRACTICAL consortium, Thompson, D. J., Helgason, H., Chasman, D. I., et al. (2017) · Nature Genetics · doi:10.1038/ng.3841 · Cited by 587 · see citing works

Variable prediction accuracy of polygenic scores within an ancestry group

Mostafavi, H., Harpak, A., Agarwal, I., Conley, D., Pritchard, J. K., & Przeworski, M. (2020) · eLife · doi:10.7554/elife.48376 · Cited by 457 · see citing works

Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses

Brumpton, B., Sanderson, E., Heilbron, K., Hartwig, F. P., Harrison, S., Vie, G. Å., Cho, Y., Howe, L. D., Hughes, A., Boomsma, D. I., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17117-4 · Cited by 402 · see citing works

Distinguishing genetic correlation from causation across 52 diseases and complex traits

O’Connor, L. J., & Price, A. L. (2018) · Nature Genetics · doi:10.1038/s41588-018-0255-0 · Cited by 394 · see citing works

The Fourth Law of Behavior Genetics

Chabris, C. F., Lee, J. J., Cesarini, D. A., Benjamin, D. J., & Laibson, D. (2015) · Current Directions in Psychological Science · doi:10.1177/0963721415580430 · Cited by 361 · see citing works

Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studies

Sohail, M., Maier, R. M., Ganna, A., Bloemendal, A., Martin, A. R., Turchin, M. C., Chiang, C. W., Hirschhorn, J., Daly, M. J., Patterson, N., et al. (2019) · eLife · doi:10.7554/elife.39702 · Cited by 359 · see citing works

The Cholesky approach: A cautionary note

Loehlin, J. C. (1996) · Behavior Genetics · doi:10.1007/bf02361160 · Cited by 351 · see citing works

Reduced signal for polygenic adaptation of height in UK Biobank

Berg, J. J., Harpak, A., Sinnott-Armstrong, N., Joergensen, A. M., Mostafavi, H., Field, Y., Boyle, E. A., Zhang, X., Racimo, F., Pritchard, J. K., et al. (2019) · eLife · doi:10.7554/elife.39725 · Cited by 339 · see citing works

Multivariate genome-wide analyses of the well-being spectrum

BIOS consortium, Baselmans, B. M. L., Social Science Genetic Association Consortium, Jansen, R., Ip, H. F., van Dongen, J., Abdellaoui, A., van de Weijer, M. P., Bao, Y., Smart, M., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0320-8 · Cited by 320 · see citing works

Genome-wide analysis identifies 12 loci influencing human reproductive behavior

Barban, N., Study, L. C., Jansen, R., de Vlaming, R., Vaez, A., Mandemakers, J. J., Tropf, F. C., Shen, X., Wilson, J. F., Chasman, D. I., et al. (2016) · Nature Genetics · doi:10.1038/ng.3698 · Cited by 315 · see citing works

Genetic analysis of social-class mobility in five longitudinal studies

Belsky, D. W., Domingue, B. W., Wedow, R., Arseneault, L., Boardman, J. D., Caspi, A., Conley, D., Fletcher, J. M., Freese, J., Herd, P., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1801238115 · Cited by 315 · see citing works

Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis

Haworth, S., Mitchell, R., Corbin, L., Wade, K. H., Dudding, T., Budu-Aggrey, A., Carslake, D., Hemani, G., Paternoster, L., Smith, G. D., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-08219-1 · Cited by 314 · see citing works

The Rhetoric and Reality of Gap Closing: When the "Have-Nots" Gain but the "Haves" Gain Even More.

Ceci, S. J., & Papierno, P. B. (2005) · American Psychologist · doi:10.1037/0003-066x.60.2.149 · Cited by 311 · see citing works

Personality and divorce: A genetic analysis.

Jocklin, V., McGue, M. K., & Lykken, D. T. (1996) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.71.2.288 · Cited by 295 · see citing works

Deconstructing the sources of genotype-phenotype associations in humans

Young, A. I., Benonisdottir, S., Przeworski, M., & Kong, A. (2019) · Science · doi:10.1126/science.aax3710 · Cited by 288 · see citing works

Genetic correlates of social stratification in Great Britain

Abdellaoui, A., Hugh-Jones, D., Yengo, L., Kemper, K. E., Nivard, M. G., Veul, L., Holtz, Y., Zietsch, B. P., Frayling, T. M., Wray, N. R., et al. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0757-5 · Cited by 261 · see citing works

The Genetics of Success: How Single-Nucleotide Polymorphisms Associated With Educational Attainment Relate to Life-Course Development

Belsky, D. W., Moffitt, T. E., Corcoran, D. L., Domingue, B., Harrington, H., Hogan, S., Houts, R., Ramrakha, S., Sugden, K., Williams, B. S., et al. (2016) · Psychological Science · doi:10.1177/0956797616643070 · Cited by 260 · see citing works

Heredity, Environment, and Public Policy Reconsidered

Jencks, C. (1980) · American Sociological Review · doi:10.2307/2094892 · Cited by 212 · see citing works

Human longevity: 25 genetic loci associated in 389,166 UK biobank participants

Pilling, L. C., Kuo, C.-L., Sicinski, K., Tamosauskaite, J., Kuchel, G. A., Harries, L. W., Herd, P., Wallace, R., Ferrucci, L., & Melzer, D. (2017) · Aging · doi:10.18632/aging.101334 · Cited by 211 · see citing works

Genetic ancestry testing among white nationalists: From identity repair to citizen science

Panofsky, A. L., & Donovan, J. (2019) · Social Studies of Science · doi:10.1177/0306312719861434 · Cited by 210 · see citing works

The Promises and Pitfalls of Genoeconomics

Benjamin, D. J., Cesarini, D. A., Chabris, C. F., Glaeser, E. L., Laibson, D., Age, G. S.-R. S., Gudnason, V. G., Harris, T. B., Launer, L. J., Purcell, S., et al. (2012) · Annual Review of Economics · doi:10.1146/annurev-economics-080511-110939 · Cited by 209 · see citing works

Heritability

Goldberger, A. S. (1979) · Economica · doi:10.2307/2553675 · Cited by 195 · see citing works

Understanding Biological and Social Influences on Religious Affiliation, Attitudes, and Behaviors: A Behavior Genetic Perspective

D'Onofrio, B. M., Eaves, L. J., Murrelle, L., MAES, H. H. M., & Spilka, B. (1999) · Journal of Personality · doi:10.1111/1467-6494.00079 · Cited by 191 · see citing works

Relatedness disequilibrium regression estimates heritability without environmental bias

Young, A. I., Frigge, M. L., Gudbjartsson, D. F., Thorleifsson, G., Bjornsdottir, G., Sulem, P., Masson, G., Thorsteinsdottir, U., Stefansson, K., & Kong, A. (2018) · Nature Genetics · doi:10.1038/s41588-018-0178-9 · Cited by 173 · see citing works

Physical and neurobehavioral determinants of reproductive onset and success

Day, F. R., Helgason, H., Chasman, D. I., Rose, L. M., Loh, P., Scott, R. A., Helgason, A., Kong, A., Másson, G., Magnússon, Ó. Þ., et al. (2016) · Nature Genetics · doi:10.1038/ng.3551 · Cited by 170 · see citing works

Molecular Genetic Contributions to Social Deprivation and Household Income in UK Biobank

Hill, W. D., Hagenaars, S. P., Marioni, R. E., Harris, S. E., Liewald, D. C. M., Davies, G., Okbay, A., McIntosh, A. M., Galé, C. R., & Deary, I. J. (2016) · Current Biology · doi:10.1016/j.cub.2016.09.035 · Cited by 169 · see citing works

Selection against variants in the genome associated with educational attainment

Kong, A., Frigge, M. L., Thorleifsson, G., Stefansson, H., Young, A. I., Zink, F., Jonsdottir, G. A., Okbay, A., Sulem, P., Masson, G., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612113114 · Cited by 168 · see citing works

Heritability of interests: A twin study.

Lykken, D. T., Bouchard, T. J., McGue, M., & Tellegen, A. (1993) · Journal of Applied Psychology · doi:10.1037/0021-9010.78.4.649 · Cited by 166 · see citing works

Education can reduce health differences related to genetic risk of obesity

Barcellos, S., Carvalho, L., & Turley, P. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1802909115 · Cited by 163 · see citing works

Causal associations between risk factors and common diseases inferred from GWAS summary dataPreprint

Zhu, Z., Zheng, Z., Zhang, F., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/168674 · Cited by 160 · see citing works

Within family Mendelian randomization studies

Davies, N. M., Howe, L. J., Brumpton, B., Havdahl, A., Evans, D. M., & Davey Smith, G. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddz204 · Cited by 158 · see citing works

The Nature of Nurture: Using a Virtual-Parent Design to Test Parenting Effects on Children's Educational Attainment in Genotyped Families

Bates, T. C., Maher, B. S., Medland, S. E., McAloney, K., Wright, M. J., Hansell, N. K., Kendler, K. S., Martin, N. G., & Gillespie, N. A. (2018) · Twin Research and Human Genetics · doi:10.1017/thg.2018.11 · Cited by 157 · see citing works

Genetic Endowments and Wealth Inequality

Barth, D. J., Papageorge, N., & Thom, K. (2019) · Journal of Political Economy · doi:10.1086/705415 · Cited by 153 · see citing works

A Note on False Positives and Power in G × E Modelling of Twin Data

van der Sluis, S., Posthuma, D., & Dolan, C. (2011) · Behavior Genetics · doi:10.1007/s10519-011-9480-3 · Cited by 149 · see citing works

Early Childhood Cognitive Development and Parental Cognitive Stimulation: Evidence for Reciprocal Gene-Environment Transactions

Tucker-Drob, E., & Harden, K. (2011) · Developmental Science · doi:10.1111/j.1467-7687.2011.01121.x · Cited by 147 · see citing works

Genetic evidence for natural selection in humans in the contemporary United States

Beauchamp, J. P. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600398113 · Cited by 138 · see citing works

Mind the gap: Why many geneticists and psychological scientists have discrepant views about gene–environment interaction (G×E) research.

Duncan, L. E., Pollastri, A. R., & Smoller, J. W. (2014) · American Psychologist · doi:10.1037/a0036320 · Cited by 137 · see citing works

G = E: What GWAS Can Tell Us about the Environment

Gage, S. H., Davey Smith, G., Ware, J. J., Flint, J., & Munafò, M. R. (2016) · PLOS Genetics · doi:10.1371/journal.pgen.1005765 · Cited by 132 · see citing works

Evaluation of the causal effects between subjective wellbeing and cardiometabolic health: mendelian randomisation study

Wootton, R. E., Lawn, R. B., Millard, L. A. C., Davies, N. M., Taylor, A. E., Munafò, M. R., Timpson, N. J., Davis, O. S. P., Davey Smith, G., & Haworth, C. M. A. (2018) · BMJ · doi:10.1136/bmj.k3788 · Cited by 132 · see citing works

Behavior Genetic Research Methods: Testing Quasi-Causal Hypotheses Using Multivariate Twin Data

Turkheimer, E., & Harden, K. P. (2014) · Handbook of Research Methods in Social and Personality Psychology · doi:10.1017/cbo9780511996481.012 · Cited by 111 · see citing works

Is population structure in the genetic biobank era irrelevant, a challenge, or an opportunity?

Lawson, D. J., Davies, N. M., Haworth, S. J., Ashraf, B. H., Howe, L. J., Crawford, A. A., Hemani, G., Smith, G. D., & Timpson, N. J. (2019) · Human Genetics · doi:10.1007/s00439-019-02014-8 · Cited by 106 · see citing works

Social and Genetic Pathways in Multigenerational Transmission of Educational Attainment

Liu, H. (2018) · American Sociological Review · doi:10.1177/0003122418759651 · Cited by 101 · see citing works

Tread Lightly Interpreting Polygenic Tests of Selection

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Genetic instrumental variable regression: Explaining socioeconomic and health outcomes in nonexperimental data

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