Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals

© 2023. The Author(s)..

Problematic alcohol use (PAU), a trait that combines alcohol use disorder and alcohol-related problems assessed with a questionnaire, is a leading cause of death and morbidity worldwide. Here we conducted a large cross-ancestry meta-analysis of PAU in 1,079,947 individuals (European, N = 903,147; African, N = 122,571; Latin American, N = 38,962; East Asian, N = 13,551; and South Asian, N = 1,716 ancestries). We observed a high degree of cross-ancestral similarity in the genetic architecture of PAU and identified 110 independent risk variants in within- and cross-ancestry analyses. Cross-ancestry fine mapping improved the identification of likely causal variants. Prioritizing genes through gene expression and chromatin interaction in brain tissues identified multiple genes associated with PAU. We identified existing medications for potential pharmacological studies by a computational drug repurposing analysis. Cross-ancestry polygenic risk scores showed better performance of association in independent samples than single-ancestry polygenic risk scores. Genetic correlations between PAU and other traits were observed in multiple ancestries, with other substance use traits having the highest correlations. This study advances our knowledge of the genetic etiology of PAU, and these findings may bring possible clinical applicability of genetics insights-together with neuroscience, biology and data science-closer.

Errataetall:

UpdateOf: medRxiv. 2023 Jan 30;:. - PMID 36747741

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:29

Enthalten in:

Nature medicine - 29(2023), 12 vom: 09. Dez., Seite 3184-3192

Sprache:

Englisch

Beteiligte Personen:

Zhou, Hang [VerfasserIn]
Kember, Rachel L [VerfasserIn]
Deak, Joseph D [VerfasserIn]
Xu, Heng [VerfasserIn]
Toikumo, Sylvanus [VerfasserIn]
Yuan, Kai [VerfasserIn]
Lind, Penelope A [VerfasserIn]
Farajzadeh, Leila [VerfasserIn]
Wang, Lu [VerfasserIn]
Hatoum, Alexander S [VerfasserIn]
Johnson, Jessica [VerfasserIn]
Lee, Hyunjoon [VerfasserIn]
Mallard, Travis T [VerfasserIn]
Xu, Jiayi [VerfasserIn]
Johnston, Keira J A [VerfasserIn]
Johnson, Emma C [VerfasserIn]
Nielsen, Trine Tollerup [VerfasserIn]
Galimberti, Marco [VerfasserIn]
Dao, Cecilia [VerfasserIn]
Levey, Daniel F [VerfasserIn]
Overstreet, Cassie [VerfasserIn]
Byrne, Enda M [VerfasserIn]
Gillespie, Nathan A [VerfasserIn]
Gordon, Scott [VerfasserIn]
Hickie, Ian B [VerfasserIn]
Whitfield, John B [VerfasserIn]
Xu, Ke [VerfasserIn]
Zhao, Hongyu [VerfasserIn]
Huckins, Laura M [VerfasserIn]
Davis, Lea K [VerfasserIn]
Sanchez-Roige, Sandra [VerfasserIn]
Madden, Pamela A F [VerfasserIn]
Heath, Andrew C [VerfasserIn]
Medland, Sarah E [VerfasserIn]
Martin, Nicholas G [VerfasserIn]
Ge, Tian [VerfasserIn]
Smoller, Jordan W [VerfasserIn]
Hougaard, David M [VerfasserIn]
Børglum, Anders D [VerfasserIn]
Demontis, Ditte [VerfasserIn]
Krystal, John H [VerfasserIn]
Gaziano, J Michael [VerfasserIn]
Edenberg, Howard J [VerfasserIn]
Agrawal, Arpana [VerfasserIn]
Million Veteran Program [VerfasserIn]
Justice, Amy C [VerfasserIn]
Stein, Murray B [VerfasserIn]
Kranzler, Henry R [VerfasserIn]
Gelernter, Joel [VerfasserIn]
Zhao, Hongyu [Sonstige Person]

Links:

Volltext

Themen:

Journal Article
Meta-Analysis

Anmerkungen:

Date Completed 20.12.2023

Date Revised 12.03.2024

published: Print-Electronic

UpdateOf: medRxiv. 2023 Jan 30;:. - PMID 36747741

Citation Status MEDLINE

doi:

10.1038/s41591-023-02653-5

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM365531561