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dc.contributor.authorKarlsson Linnér, Richard
dc.contributor.authorMallard, Travis T
dc.contributor.authorBarr, Peter
dc.contributor.authorSanchez-Roige, Sandra
dc.contributor.authorMadole, James W
dc.contributor.authorDriver, Morgan N
dc.contributor.authorPoore, Holly E
dc.contributor.authorde Vlaming, Ronald
dc.contributor.authorGrotzinger, Andrew D
dc.contributor.authorTielbeek, Jorim J
dc.contributor.authorJohnson, Emma C
dc.contributor.authorLiu, Mengzhen
dc.contributor.authorRosenthal, Sara Brin
dc.contributor.authorIdeker, Trey
dc.contributor.authorZhou, Hang
dc.contributor.authorKember, Rachel L
dc.contributor.authorPasman, Joëlle A
dc.contributor.authorVerweij, Karin J H
dc.contributor.authorLiu, Dajiang J
dc.contributor.authorVrieze, Scott
dc.contributor.authorKranzler, Henry R
dc.contributor.authorGelernter, Joel
dc.contributor.authorHarris, Kathleen Mullan
dc.contributor.authorTucker-Drob, Elliot M
dc.contributor.authorWaldman, Irwin D
dc.contributor.authorPalmer, Abraham A
dc.contributor.authorHarden, K Paige
dc.contributor.authorKoellinger, Philipp D
dc.contributor.authorDick, Danielle M
dc.date.accessioned2022-10-25T15:51:44Z
dc.date.available2022-10-25T15:51:44Z
dc.date.issued2021-08-26
dc.identifier.citationKarlsson Linnér R, Mallard TT, Barr PB, Sanchez-Roige S, Madole JW, Driver MN, Poore HE, de Vlaming R, Grotzinger AD, Tielbeek JJ, Johnson EC, Liu M, Rosenthal SB, Ideker T, Zhou H, Kember RL, Pasman JA, Verweij KJH, Liu DJ, Vrieze S; COGA Collaborators, Kranzler HR, Gelernter J, Harris KM, Tucker-Drob EM, Waldman ID, Palmer AA, Harden KP, Koellinger PD, Dick DM. Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction. Nat Neurosci. 2021 Oct;24(10):1367-1376. doi: 10.1038/s41593-021-00908-3. Epub 2021 Aug 26. PMID: 34446935; PMCID: PMC8484054.en_US
dc.identifier.eissn1546-1726
dc.identifier.doi10.1038/s41593-021-00908-3
dc.identifier.pmid34446935
dc.identifier.urihttp://hdl.handle.net/20.500.12648/7797
dc.description.abstractBehaviors 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.en_US
dc.language.isoenen_US
dc.relation.urlhttps://www.nature.com/articles/s41593-021-00908-3en_US
dc.rights© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleMultivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction.en_US
dc.typeArticle/Reviewen_US
dc.source.journaltitleNature neuroscienceen_US
dc.source.volume24
dc.source.issue10
dc.source.beginpage1367
dc.source.endpage1376
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.description.versionAMen_US
refterms.dateFOA2022-10-25T15:51:44Z
dc.description.institutionSUNY Downstateen_US
dc.description.departmentInstitute for Genomics in Healthen_US
dc.description.departmentHenri Begleiter Neurodynamics Laboratory
dc.description.degreelevelN/Aen_US
dc.identifier.journalNature neuroscience


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© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.
Except where otherwise noted, this item's license is described as © 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.