Journal article
Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction
Nature neuroscience, Vol.24(10), pp.1367-1376
10/2021
DOI: 10.1038/s41593-021-00908-3
PMCID: PMC8484054
PMID: 34446935
Abstract
Behaviors and disorders related to self-regulation, such as substance use, antisocial behavior and attention-deficit/hyperactivity disorder, are collectively referred to as externalizing and have shared genetic liability. We applied a multivariate approach that leverages genetic correlations among externalizing traits for genome-wide association analyses. By pooling data from ~1.5 million people, our approach is statistically more powerful than single-trait analyses and identifies more than 500 genetic loci. The loci were enriched for genes expressed in the brain and related to nervous system development. A polygenic score constructed from our results predicts a range of behavioral and medical outcomes that were not part of genome-wide analyses, including traits that until now lacked well-performing polygenic scores, such as opioid use disorder, suicide, HIV infections, criminal convictions and unemployment. Our findings are consistent with the idea that persistent difficulties in self-regulation can be conceptualized as a neurodevelopmental trait with complex and far-reaching social and health correlates.
Details
- Title: Subtitle
- Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction
- Creators
- Richard Karlsson Linnér - Vrije Universiteit AmsterdamTravis T Mallard - The University of Texas at AustinPeter B Barr - Virginia Commonwealth UniversitySandra Sanchez-Roige - University of California San DiegoJames W Madole - The University of Texas at AustinMorgan N Driver - Virginia Commonwealth UniversityHolly E Poore - Emory UniversityRonald de Vlaming - Vrije Universiteit AmsterdamAndrew D Grotzinger - The University of Texas at AustinJorim J Tielbeek - Vrije Universiteit AmsterdamEmma C Johnson - Washington University in St. LouisMengzhen Liu - University of MinnesotaSara Brin Rosenthal - University of California San DiegoTrey Ideker - University of California San DiegoHang Zhou - Yale UniversityRachel L Kember - University of PennsylvaniaJoëlle A Pasman - Radboud University NijmegenKarin J H Verweij - University of AmsterdamDajiang J Liu - Pennsylvania State UniversityScott Vrieze - University of MinnesotaHenry R Kranzler - University of PennsylvaniaJoel Gelernter - Yale UniversityKathleen Mullan Harris - University of North Carolina at Chapel HillElliot M Tucker-Drob - The University of Texas at AustinIrwin D Waldman - Emory UniversityAbraham A Palmer - University of California San DiegoK Paige Harden - The University of Texas at AustinPhilipp D Koellinger - Vrije Universiteit AmsterdamDanielle M Dick - Virginia Commonwealth UniversityCOGA Collaborators
- Contributors
- Samuel Kuperman (Contributor) - University of Iowa, Psychiatry
- Resource Type
- Journal article
- Publication Details
- Nature neuroscience, Vol.24(10), pp.1367-1376
- DOI
- 10.1038/s41593-021-00908-3
- PMID
- 34446935
- PMCID
- PMC8484054
- NLM abbreviation
- Nat Neurosci
- ISSN
- 1097-6256
- eISSN
- 1546-1726
- Grant note
- RC2 GM092618 / NIGMS NIH HHS UL1 TR002243 / NCATS NIH HHS UL1 RR024975 / NCRR NIH HHS R01 HD073342 / NICHD NIH HHS RC2 MH089924 / NIMH NIH HHS R01 MH120219 / NIMH NIH HHS P50 DA037844 / NIDA NIH HHS R01 HD092548 / NICHD NIH HHS UL1 TR000445 / NCATS NIH HHS S10 RR025141 / NCRR NIH HHS R01 HD074711 / NICHD NIH HHS R01 AA015416 / NIAAA NIH HHS U01 HG004798 / NHGRI NIH HHS R01 HD083613 / NICHD NIH HHS P01 HD031921 / NICHD NIH HHS R01 HD060726 / NICHD NIH HHS K02 AA018755 / NIAAA NIH HHS R01 AA026281 / NIAAA NIH HHS RC2 MH089983 / NIMH NIH HHS R01 DA050721 / NIDA NIH HHS P50 GM115305 / NIGMS NIH HHS U10 AA008401 / NIAAA NIH HHS U01 HG006378 / NHGRI NIH HHS R01 NS032830 / NINDS NIH HHS U19 HL065962 / NHLBI NIH HHS P50 AA022537 / NIAAA NIH HHS
- Language
- English
- Date published
- 10/2021
- Academic Unit
- Psychiatry
- Record Identifier
- 9984293755202771
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