| Title: | Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences |
| Journal: | Nature Genetics |
| Published: | 14 Jan 2019 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/30643258/ |
| DOI: | https://doi.org/10.1038/s41588-018-0309-3 |
| URL: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6713272 |
| Citations: | 553 (171 in last 2 years) as of 8 Aug 2024 |
Publication 2160
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
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 (r̂g$$\left| {\hat r_{\mathrm{g}}} \right|$$ ~ 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.</p>
11 Keywords
- Behavior
- Case-Control Studies
- Female
- Genetic Loci
- Genetic Predisposition to Disease
- Genetics, Behavioral
- Genome-Wide Association Study
- Genotype
- Humans
- Male
- Polymorphism, Single Nucleotide
92 Authors
- Richard Karlsson Linnér
- Pietro Biroli
- Edward Kong
- S. Fleur W. Meddens
- Robbee Wedow
- Mark Alan Fontana
- Maël Lebreton
- Stephen P. Tino
- Abdel Abdellaoui
- Anke R. Hammerschlag
- Michel G. Nivard
- Aysu Okbay
- Cornelius A. Rietveld
- Pascal N. Timshel
- Maciej Trzaskowski
- Ronald de Vlaming
- Christian L. Zünd
- Yanchun Bao
- Laura Buzdugan
- Ann H. Caplin
- Chia-Yen Chen
- Peter Eibich
- Pierre Fontanillas
- Juan R. Gonzalez
- Peter K. Joshi
- Ville Karhunen
- Aaron Kleinman
- Remy Z. Levin
- Christina M. Lill
- Gerardus A. Meddens
- Gerard Muntané
- Sandra Sanchez-Roige
- Frank J. van Rooij
- Erdogan Taskesen
- Yang Wu
- Futao Zhang
- Adam Auton
- Jason D. Boardman
- David W. Clark
- Andrew Conlin
- Conor C. Dolan
- Urs Fischbacher
- Patrick J. F. Groenen
- Kathleen Mullan Harris
- Gregor Hasler
- Albert Hofman
- Mohammad A. Ikram
- Sonia Jain
- Robert Karlsson
- Ronald C. Kessler
- Maarten Kooyman
- James MacKillop
- Minna Männikkö
- Carlos Morcillo-Suarez
- Matthew B. McQueen
- Klaus M. Schmidt
- Melissa C. Smart
- Matthias Sutter
- A. Roy Thurik
- André G. Uitterlinden
- Jon White
- Harriet de Wit
- Jian Yang
- Lars Bertram
- Dorret I. Boomsma
- Tõnu Esko
- Ernst Fehr
- David A. Hinds
- Magnus Johannesson
- Meena Kumari
- David Laibson
- Patrik K. E. Magnusson
- Michelle N. Meyer
- Arcadi Navarro
- Abraham A. Palmer
- Tune H. Pers
- Danielle Posthuma
- Daniel Schunk
- Murray B. Stein
- Rauli Svento
- Henning Tiemeier
- Paul R. H. J. Timmers
- Patrick Turley
- Robert J. Ursano
- Gert G. Wagner
- James F. Wilson
- Jacob Gratten
- James J. Lee
- David Cesarini
- Daniel J. Benjamin
- Philipp D. Koellinger
- Jonathan P. Beauchamp
1 Application
| Application ID | Title |
|---|---|
| 11425 | The Social Science Genetic Association Consortium |
Enabling scientific discoveries that improve human health