Publications

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

Nature Genetics. doi:10.1038/s41588-022-01085-0

Howe, L. J., et al. Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects.

Nature Genetics 54, 581–592

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

Nature Genetics. doi:10.1038/s41588-022-01016-z

Becker, J., et al. Resource profile and user guide of the Polygenic Index Repository.

Nature Human Behaviour. doi:10.1038/s41562-021-01119-3

Meddens, S. F. W., et al. Genomic analysis of diet composition finds novel loci and associations with health and lifestyle.

Molecular Psychiatry. doi:10.1038/s41380-020-0697-5

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

Nature Genetics

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

Nature Communications

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

Nature Genetics

Turley, P., et al. Multi-trait analysis of genome-wide association summary statistics using MTAG.

Nature Genetics

Karlsson Linnér, R., et al. An epigenome-wide association study meta-analysis of educational attainment.

Molecular Psychiatry

Barban, N., et al. Genome-wide analysis identifies 12 loci influencing human reproductive behavior.

Nature Genetics

Marioni, R. E., et al. Genetic variants linked to education predict longevity.

PNAS. doi:10.1073/pnas.1605334113

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

Nature

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

Nature Genetics

Chabris, C. F., Lee, J. J., Cesarini, D., Benjamin, D. J., and Laibson, D. The Fourth Law of Behavior Genetics.

Current Directions in Psychological Science 24, 304–312

Peyrot, W. J., et al. The association between lower educational attainment and depression due to shared genetic effects? Results in ~25,000 subjects.

Molecular Psychiatry 20(6), 735–743

Rietveld, C. A., et al. Replicability and robustness of GWAS for behavioral traits.

Psychological Science. doi:10.1177/0956797614545132

Rietveld, C. A., et al. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method.

PNAS

de Zeeuw, E. L., et al. Polygenic scores associated with educational attainment in adults predict educational achievement and attention problems in children.

American Journal of Medical Genetics Part B 9999, 1–11

Stephens, S. H., et al. Distinct loci in the CHRNA5/CHRNA3/CHRNB4 gene cluster are associated with onset of regular smoking.

Genetic Epidemiology 37(8), 846–859

Chabris, C. F., Lee, J. J., Benjamin, D. J., Beauchamp, J. P., Glaeser, E. L., Borst, G., Pinker, S., and Laibson, D. I. Why is it hard to find genes that are associated with social science traits? Theoretical and empirical considerations.

American Journal of Public Health 103(S1), S152–S166

Rietveld, C. A., et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment.

Science 340, 1467–1471. doi:10.1126/science.1235488

Rietveld, C. A., Cesarini, D., Benjamin, D. J., Koellinger, P. D., de Neve, J.-E., Tiemeier, H., Johannesson, M., Magnusson, P. K. E., Pedersen, N. L., Krueger, R. F., and Bartels, M. Molecular genetics and subjective well-being.

PNAS. doi:10.1073/pnas.1222171110

van der Loos, M. J. H. M., et al. The molecular genetic architecture of self-employment.

PLoS ONE 8(4), e60542

Chabris, C. F., et al. Most reported genetic associations with general intelligence are probably false positives.

Psychological Science 23(11), 1314–1324. doi:10.1177/0956797611435528

Benjamin, D. J., et al. The promises and pitfalls of genoeconomics.

Annual Review of Economics 4, 627–662. doi:10.1146/annurev-economics-080511-110939

Benjamin, D. J., Cesarini, D., van der Loos, M. J. H. M., Dawes, C., Koellinger, P., Magnusson, P., Chabris, C., Conley, D., Laibson, D., Johannesson, M., and Visscher, P. The genetic architecture of economic and political preferences.

PNAS 109(21), 8026–8031. doi:10.1073/pnas.1120666109

Beauchamp, J., Cesarini, D., Johannesson, M., van der Loos, M. J. H. M., Koellinger, P., Groenen, P., Fowler, J., Rosenquist, N., Thurik, R., and Christakis, N. Molecular genetics and economics.

Journal of Economic Perspectives 25(4), 57–82

Benjamin, D. J., Chabris, C. F., Glaeser, E. L., Gudnason, V., Harris, T. B., Laibson, D. I., Launer, L., and Purcell, S. Genoeconomics. 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