top of page


"Mendelian imputation of parental genotypes improves estimates of direct genetic effects", ​Young, A.I., Nehzati, S.M., Benonisdottir, S. et al., Nature Genetics, 2022.

“Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects”, Howe et al., Nature Genetics 54, 581–592 (2022). Published online May 9, 2022.

"Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals", Okbay et al., Nature Genetics, 2022.

"Resource profile and user guide of the Polygenic Index Repository", Becker et al., Nature Human Behaviour, 2021.

"Genomic analysis of diet composition finds novel loci and associations with health and lifestyle", Meddens et al., Mol Psychiatry, 2020.

"Genome-wide association analyses of risk tolerance and risky behaviors in over one million individuals identify hundreds of loci and shared genetic influences", Karlsson Linnér et al., Nature Genetics, 2019.

"Genome-wide association study results for educational attainment aid in identifying genetic heterogeneity of schizophrenia", Bansal et al., Nature Communications, 2018.

"Gene discovery and polygenic prediction from a 1.1-million-person GWAS of educational attainment", Lee et al., Nature Genetics, 2018.

"Multi-trait analysis of genome-wide association summary statistics using MTAG", Turley et al., Nature Genetics, 2018.

"An epigenome-wide association study meta-analysis of educational attainment", Karlsson Linnér et al., Molecular Psychiatry, 2017.

"Genome-wide analysis identifies 12 loci influencing human reproductive behavior", Barban et al., Nature Genetics, 2016.

"Genetic variants linked to education predict longevity", Marioni et al., Proceedings of the National Academy of Sciences of the United States of America, 2016. doi:10.1073/pnas.1605334113.

"Genome-wide association study identifies 74 loci associated with educational attainment", Okbay et al., Nature, 2016.

"Genetic variants associated with subjective well-being, depressive symptoms and neuroticism identified through genome-wide analyses", Okbay et al., Nature Genetics, 2016.

“The Fourth Law of Behavior Genetics”, C.F. Chabris, J.J. Lee, D. Cesarini, D.J. Benjamin, and D. Laibson, Current Directions in Psychological Science, 24, 304-312, 2015.

"The association between lower educational attainment and depression due to shared genetic effects? Results in ~25,000 subjects", Peyrot et al., Molecular Psychiatry, 20(6): 735-43, 2015.

"Replicability and Robustness of GWAS for Behavioral Traits", Rietveld et al., Psychological Science. Published online October 6, 2014. doi:10.1177/0956797614545132.

"Common genetic variants associated with cognitive performance identified using proxy-phenotype method", Rietveld et al., Proceedings of the National Academy of Sciences of the United States of America, 2014.

"Polygenic Scores Associated With Educational Attainment in Adults Predict Educational Achievement and Attention Problems in Children", E. L. de Zeeuw et al., Am J Med Genet Part B, 9999: 1–11, 2014.

“Distinct Loci in the CHRNA5/CHRNA3/CHRNB4 Gene Cluster Are Associated With Onset of Regular Smoking”, S.H. Stephens et al., Genetic Epidemiology, 37(8), 846–859, 2013.

"Why is it hard to find genes that are associated with social science traits? Theoretical and empirical considerations", C.F. Chabris, J.J. Lee, D.J. Benjamin, J.P. Beauchamp, E.L. Glaeser, G. Borst, S. Pinker, D.I. Laibson, American Journal of Public Health, 103(S1), S152-S166, 2013.

"GWAS of 126,559 individuals identifies genetic variants associated with educational attainment", Rietveld et al., Science, 340, 1467-1471, 2013. doi: 10.1126/science.1235488

"Molecular genetics and subjective well-being", C.A. Rietveld, D. Cesarini, D.J. Benjamin, P.D. Koellinger, J.-E. de Neve, H.Tiemeier, M. Johannesson, P.K.E. Magnusson, N.L. Pedersen, R.F. Krueger, and M. Bartels, Proceedings of the National Academy of Sciences of the United States of America, 2013. doi:10.1073/pnas.1222171110.

"The molecular genetic architecture of self-employment", M.J.H.M. van der Loos, C.A. Rietveld, N. Eklund, P.D. Koellinger, F. Rivadeneira, et al., PLoS ONE, 8(4):e60542, 2013.

“Most Reported Genetic Associations with General Intelligence Are Probably False Positives”, C. Chabris, H. Benjamin, D. Benjamin, J. Beauchamp, D. Cesarini, M.J.H.M. van der Loos, M. Johannesson, P.K.E. Magnusson, P. Lichtenstein, C.S. Atwood, J. Freese, T.S. Hauser, R.M. Hauser, N.A. Christakis, and D. Laibson, Psychological Science, 23(11), 1314-1324, 2012. doi:10.1177/0956797611435528.

“The promises and pitfalls of genoeconomics”, D.J. Benjamin, D. Cesarini, C.F. Chabris, E.L. Glaeser, D.I. Laibson, V. Guðnason, T.B. Harris, L.J. Launer, S. Purcell, A.V. Smith, M. Johannesson, P.K.E. Magnusson, J.P. Beauchamp, N.A. Christakis, C.S. Atwood, B. Hebert, J. Freese, R.M. Hauser, T.S. Hauser, A. Grankvist, C.M. Hultman, and P. Lichtenstein, Annual Review of Economics, 4, 627-662, 2012. doi:10.1146/annurev-economics-080511-110939

"The genetic architecture of economic and political preferences", D.J. Benjamin, D. Cesarini, M.J.H.M. van der Loos, C. Dawes, P. Koellinger, P. Magnusson, C. Chabris, D. Conley, D. Laibson, M. Johannesson, and P. Visscher, Proceedings of the National Academy of Sciences of the United States of America, 109(21), 8026-8031, 2012. doi:10.1073/pnas.1120666109

"Molecular genetics and economics", J. Beauchamp, D. Cesarini, M. Johannesson, M.J.H.M. van der Loos, P. Koellinger, P. Groenen, J. Fowler, N. Rosenquist, R. Thurik, and N. Christakis, Journal of Economic Perspectives, 25(4), 57-82, 2011.

"Genoeconomics", D.J. Benjamin, C.F. Chabris, E.L. Glaeser, V. Gudnason, T.B. Harris, D.I. Laibson, L. Launer, S. Purcell in M. Weinstein, J.W. Vaupel and K.W. Wachter (eds.), Biosocial Surveys.Committee on Population, Division of Behavioral and Social Sciences and Education. Washington, D.C.: The National Academies Press, 2007.

bottom of page