A phenome-wide association and Mendelian randomisation study of alcohol use variants in a diverse cohort comprising over 3 million individuals

现象 孟德尔遗传 队列 联想(心理学) 医学 队列研究 遗传学 生物 人口学 心理学 内科学 基因 表型 社会学 心理治疗师
作者
Mariela Jennings,José Jaime Martínez‐Magaña,Natasia S. Courchesne‐Krak,Renata B. Cupertino,Laura Vilar-Ribó,Sevim B. Bianchi,Alexander S. Hatoum,Elizabeth G. Atkinson,Paola Giusti‐Rodríguez,Janitza L. Montalvo-Ortiz,Joel Gelernter,María Soler Artigas,Stella Aslibekyan,Adam Auton,Elizabeth Babalola,Robert K. Bell,Jessica Bielenberg,Katarzyna Bryc,Emily Bullis,Daniella Coker,Gabriel Cuellar Partida,Devika Dhamija,Das S,Sarah L. Elson,Nicholas Eriksson,Teresa Filshtein,Alison J. Fitch,Kipper Fletez-Brant,Pierre Fontanillas,Will Freyman,Julie M. Granka,Karl Heilbron,Alejandro Hernandez,Barry Hicks,David A. Hinds,Ethan M. Jewett,Yunxuan Jiang,Katelyn Kukar,Alan Kwong,Keng-Han Lin,Bastien Llamas,Maya Lowe,Jey C. McCreight,Matthew H. McIntyre,Steven J. Micheletti,Meghan E. Moreno,Priyanka Nandakumar,Dominique Nguyen,Elizabeth S. Noblin,Jared O’Connell,Aaron A. Petrakovitz,G. David Poznik,Alexandra Reynoso,Morgan Schumacher,Anjali J. Shastri,Janie F. Shelton,Jingchunzi Shi,Suyash Shringarpure,Qiaojuan Jane Su,Susana A. Tat,Christophe Toukam Tchakouté,Vinh Tran,Joyce Y. Tung,Xin Wang,Wei Wang,Catherine H. Weldon,Peter Wilton,Corinna D. Wong,Sarah L. Elson,Howard J. Edenberg,Pierre Fontanillas,Abraham A. Palmer,Sandra Sanchez‐Roige
出处
期刊:EBioMedicine [Elsevier]
卷期号:: 105086-105086
标识
DOI:10.1016/j.ebiom.2024.105086
摘要

Summary

Background

Alcohol consumption is associated with numerous negative social and health outcomes. These associations may be direct consequences of drinking, or they may reflect common genetic factors that influence both alcohol consumption and other outcomes.

Methods

We performed exploratory phenome-wide association studies (PheWAS) of three of the best studied protective single nucleotide polymorphisms (SNPs) in genes encoding ethanol metabolising enzymes (ADH1B: rs1229984-T, rs2066702-A; ADH1C: rs698-T) using up to 1109 health outcomes across 28 phenotypic categories (e.g., substance-use, mental health, sleep, immune, cardiovascular, metabolic) from a diverse 23andMe cohort, including European (N ≤ 2,619,939), Latin American (N ≤ 446,646) and African American (N ≤ 146,776) populations to uncover new and perhaps unexpected associations. These SNPs have been consistently implicated by both candidate gene studies and genome-wide association studies of alcohol-related behaviours but have not been investigated in detail for other relevant phenotypes in a hypothesis-free approach in such a large cohort of multiple ancestries. To provide insight into potential causal effects of alcohol consumption on the outcomes significant in the PheWAS, we performed univariable two-sample and one-sample Mendelian randomisation (MR) analyses.

Findings

The minor allele rs1229984-T, which is protective against alcohol behaviours, showed the highest number of PheWAS associations across the three cohorts (N = 232, European; N = 29, Latin American; N = 7, African American). rs1229984-T influenced multiple domains of health. We replicated associations with alcohol-related behaviours, mental and sleep conditions, and cardio-metabolic health. We also found associations with understudied traits related to neurological (migraines, epilepsy), immune (allergies), musculoskeletal (fibromyalgia), and reproductive health (preeclampsia). MR analyses identified evidence of causal effects of alcohol consumption on liability for 35 of these outcomes in the European cohort.

Interpretation

Our work demonstrates that polymorphisms in genes encoding alcohol metabolising enzymes affect multiple domains of health beyond alcohol-related behaviours. Understanding the underlying mechanisms of these effects could have implications for treatments and preventative medicine.

Funding

MVJ, NCK, SBB, SSR and AAP were supported by T32IR5226 and 28IR-0070. SSR was also supported by NIDA DP1DA054394. NCK and RBC were also supported by R25MH081482. ASH was supported by funds from NIAAA K01AA030083. JLMO was supported by VA 1IK2CX002095. JLMO and JJMM were also supported by NIDA R21DA050160. JJMM was also supported by the Kavli Postdoctoral Award for Academic Diversity. EGA was supported by K01MH121659 from the NIMH/NIH, the Caroline Wiess Law Fund for Research in Molecular Medicine and the ARCO Foundation Young Teacher-Investigator Fund at Baylor College of Medicine. MSA was supported by the Instituto de Salud Carlos III and co-funded by the European Union Found: Fondo Social Europeo Plus (FSE+) (P19/01224, PI22/00464 and CP22/00128).
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