Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction
| Autor: | Scott I. Vrieze, Mengzhen Liu, K. Paige Harden, Trey Ideker, Karin J. H. Verweij, Kathleen Mullan Harris, Sandra Sanchez-Roige, Abraham A. Palmer, Ronald de Vlaming, Dajiang J. Liu, Irwin D. Waldman, Philipp Koellinger, Richard Karlsson Linnér, James W. Madole, Peter B. Barr, Joel Gelernter, Andrew D. Grotzinger, Morgan N. Driver, Rachel L. Kember, Emma C. Johnson, Jorim J. Tielbeek, Henry R. Kranzler, Sara Brin Rosenthal, Holly E. Poore, Elliot M. Tucker-Drob, Danielle M. Dick, Travis T. Mallard, Hang Zhou, Joëlle A. Pasman |
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| Přispěvatelé: | Economics, Amsterdam Neuroscience - Complex Trait Genetics, Complex Trait Genetics, Biological Psychology, Adult Psychiatry, APH - Mental Health, ANS - Complex Trait Genetics, ANS - Compulsivity, Impulsivity & Attention |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Multivariate statistics
Multivariate analysis General Neuroscience Addiction media_common.quotation_subject Genome-wide association study Opioid use disorder Self-control medicine.disease SDG 3 - Good Health and Well-being Trait medicine Multifactorial Inheritance Psychology Developmental Psychopathology Neuroscience media_common Clinical psychology |
| Zdroj: | Nature Neuroscience, 376 Nature Neuroscience, 376, 1835 Nature Neuroscience, 24(10), 1367-1376. Nature Publishing Group Nature neuroscience, 24(10), 1367-1376. Nature Publishing Group COGA Collaborators 2021, ' Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction ', Nature Neuroscience, vol. 24, no. 10, pp. 1367-1376 . https://doi.org/10.1038/s41593-021-00908-3 |
| ISSN: | 1097-6256 |
| DOI: | 10.1038/s41593-021-00908-3 |
| Popis: | Contains fulltext : 237013.pdf (Publisher’s version ) (Closed access) 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. 27 p. |
| Databáze: | OpenAIRE |
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