Cited by 756Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on BehaviorGenetic Mapping and Diversity in Plants and Animals

Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

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23and Me Research Team, Karlsson Linnér, Richard, eQTLgen Consortium, International Cannabis Consortium, Social Science Genetic Association Consortium, Biroli, Pietro, Kong, Edward, Meddens, S. Fleur W. +88 more·2019·Nature Genetics

Abstract

Humans vary substantially in their willingness to take risks. In a combined sample of over 1 million individuals, we conducted genome-wide association studies (GWAS) of general risk tolerance, adventurousness, and risky behaviors in the driving, drinking, smoking, and sexual domains. Across all GWAS, we identified hundreds of associated loci, including 99 loci associated with general risk tolerance. We report evidence of substantial shared genetic influences across risk tolerance and the risky behaviors: 46 of the 99 general risk tolerance loci contain a lead SNP for at least one of our other GWAS, and general risk tolerance is genetically correlated ([Formula: see text] ~ 0.25 to 0.50) with a range of risky behaviors. Bioinformatics analyses imply that genes near SNPs associated with general risk tolerance are highly expressed in brain tissues and point to a role for glutamatergic and GABAergic neurotransmission. We found no evidence of enrichment for genes previously hypothesized to relate to risk tolerance.

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  • Other genes among the 34, including CADM2, ZIC4, GABRA2, NEGR1, and FURIN, have previously been identified in GWAS of behavioral or psychiatric traits.

    “Other genes among the 34 have previously been identified in GWAS of behavioral or psychiatric traits: Cell Adhesion Molecule 2 (CADM2, previously identified in GWAS related to self-regulation, including drug use and risk tolerance17,33), Zic Family Member 4 (ZIC4, associated with brain volume34), Gamma-Aminobutyric Acid Type A Receptor Subunit Alpha 2 (GABRA2; the site of action for alcohol and”

    From Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction. (2021) · cites this paper as [17]

    The Introduction and Results describe GWAS of risk tolerance and risky behaviors, but the passages in our copy do not identify CADM2 as an associated gene. Searches for CADM2, its full name, and the other named genes found no passage establishing the gene-specific claim; page numbers were unavailable. (LLM, conf=0.73)

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Research works printed but not linked: 6

  1. [12]Bulik-Sullivan BK LD Score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat. Genet 47, 291– 295 (2015). 25642630 PMC4495769
  2. [46]Ripke S Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421– 427 (2014). 25056061 PMC4112379
  3. [48]Shi H, Kichaev G & Pasaniuc B Contrasting the genetic architecture of 30 complex traits from summary association data. Am. J. Hum. Genet 99, 139– 153 (2016). 27346688 PMC5005444
  4. [50]Finucane HK Partitioning heritability by functional category using GWAS summary statistics. Nat. Genet 47, 1228– 1235 (2015). 26414678 PMC4626285
  5. [52]Stringer S Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium. Transl. Psychiatry 6, e769 (2016). 27023175 PMC4872459
  6. [53]Vilhjálmsson BJ Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores. Am. J. Hum. Genet 97, 576– 592 (2015). 26430803 PMC4596916

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Authors
23and Me Research Team, Karlsson Linnér, R., eQTLgen Consortium, International Cannabis Consortium, Social Science Genetic Association Consortium, Biroli, P., Kong, E., Meddens, S. F. W., Wedow, R., Fontana, M. A., Lebreton, M., Tino, S. P., Abdellaoui, A., Hammerschlag, A. R., Nivard, M. G., Okbay, A., Rietveld, C. A., Timshel, P. N., Trzaskowski, M., Vlaming, R. D., Zünd, C. L., Bao, Y., Buzdugan, L., Caplin, A. H., Chen, C.-Y., Eibich, P., Fontanillas, P., Gonzalez, J. R., Joshi, P. K., Karhunen, V., Kleinman, A., Levin, R. Z., Lill, C. M., Meddens, G. A., Muntané, G., Sanchez-Roige, S., Rooij, F. J. V., Taskesen, E., Wu, Y., Zhang, F., Auton, A., Boardman, J. D., Clark, D. W., Conlin, A., Dolan, C. C., Fischbacher, U., Groenen, P. J. F., Harris, K. M., Hasler, G., Hofman, A., Ikram, M. A., Jain, S., Karlsson, R., Kessler, R. C., Kooyman, M., MacKillop, J., Männikkö, M., Morcillo-Suarez, C., McQueen, M. B., Schmidt, K. M., Smart, M. C., Sutter, M., Thurik, A. R., Uitterlinden, A. G., White, J., Wit, H. D., Yang, J., Bertram, L., Boomsma, D. I., Esko, T., Fehr, E., Hinds, D. A., Johannesson, M., Kumari, M., Laibson, D., Magnusson, P. K. E., Meyer, M. N., Navarro, A., Palmer, A. A., Pers, T. H., Posthuma, D., Schunk, D., Stein, M. B., Svento, R., Tiemeier, H., Timmers, P. R. H. J., Turley, P., Ursano, R. J., Wagner, G. G., Wilson, J. F., Gratten, J., Lee, J. J., Cesarini, D., Benjamin, D. J., Koellinger, P. D., & Beauchamp, J. P.
Affiliations
  • University of Zurich (CH)
  • Harvard University (US)
  • Amsterdam Neuroscience (NL)
  • Broad Institute (US)
  • Hospital for Special Surgery (US)
  • University of Amsterdam (NL)
  • University of Toronto (CA)
  • Vrije Universiteit Amsterdam (NL)
  • Erasmus MC (NL)
  • Statens Serum Institut (DK)
  • The University of Queensland (AU)
  • University of Essex (GB)
  • German Institute for Economic Research (DE)
  • 23andMe (United States) (US)
  • University of Edinburgh (GB)
  • University of Oulu (FI)
  • University of California San Diego (US)
  • University of Lübeck (DE)
  • Universitat Pompeu Fabra (ES)
  • University of Colorado Boulder (US)
  • University of Konstanz (DE)
  • Erasmus University Rotterdam (NL)
  • University of North Carolina at Chapel Hill (US)
  • University of Fribourg (CH)
  • Karolinska Institutet (SE)
  • SURFsara (Netherlands) (NL)
  • Homewood Research Institute (CA)
  • Ludwig-Maximilians-Universität München (DE)
  • University of Cologne (DE)
  • University College London (GB)
  • University of Chicago (US)
  • University of Oslo (NO)
  • University of Tartu (EE)
  • Stockholm School of Economics (SE)
  • Geisinger Medical Center (US)
  • Institució Catalana de Recerca i Estudis Avançats (ES)
  • Johannes Gutenberg University Mainz (DE)
  • Uniformed Services University of the Health Sciences (US)
  • Western General Hospital (GB)
  • Translational Research Institute (AU)
  • University of Minnesota (US)
  • New York University (US)
  • University of Southern California (US)
Venue
Nature Genetics
Published
2019-01-14
Volume
51
Issue
2
Pages
245-257
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W2909486692
Cited by
756
References
56
Citations by year
2026: 45 · 2025: 97 · 2024: 122 · 2023: 100 · 2022: 106 · 2021: 127 · 2020: 127 · 2019: 31 · 2018: 1
FWCI
12.95
Type
journal article
Language
en
Open access
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Funders
  • Sanofi
  • University of Southern California
  • Genome Canada (OGI-152)
  • Wellcome Trust (208806/Z/17/Z, 213422/Z/18/Z)
  • Ontario Genomics
  • Open Philanthropy Project
  • Government of Canada
  • Ontario Genomics Institute
  • Cancer Research UK (10119)
  • National Institute for Health and Care Research (NF-SI-0507-10228, NF-SI-0514-10027, NIHR-RP-R3-12-013)
  • Nederlandse Organisatie voor Wetenschappelijk Onderzoek (016.Veni.198.058)
  • Lundbeckfonden (R190 2014-3904)
  • Vetenskapsrådet (421-2013-1061)
  • Novo Nordisk Fonden (NNF16OC0021496)
  • National Institutes of Health (AG042568)
  • Social Sciences and Humanities Research Council of Canada (11425)
  • Medical Research Council (1811434, 1805084, MR/N01104X/1, MR/K026992/1, MR/N01104X/2, MC_UU_00007/10)
  • Biotechnology and Biological Sciences Research Council (BB/F022441/1, BB/F019394/1)
  • Economic and Social Research Council (ES/N00812X/1, ES/M008592/1, ES/S008349/1)
  • National Institute on Aging (R01AG017917, R01AG015819, P30AG010161, T32AG000186, R56AG042568, AG005842, R01AG042568, R01AG033678, P01AG005842, P30AG012810)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD066613, R03HD097630, P01HD031921)
  • H2020 European Research Council (647648)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
Keywords
risk tolerance, adventurousness, risk-taking, genetic loci, shared genetic influences, genetic correlation, driving risk, alcohol consumption, smoking, sexual behavior, brain gene expression, glutamatergic neurotransmission, GABAergic neurotransmission, personality genetics
MeSH terms
Behavior, Female, Genetics, Behavioral, Genotype, Humans, Male, Case-Control Studies, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic Loci

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