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GWAS Study

Genome-wide meta-analysis of alcohol use disorder in East Asians.

Zhou H, Kalayasiri R, Sun Y et al.

35094024 PubMed ID
GWAS Study Type
13551 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

ZH
Zhou H
KR
Kalayasiri R
SY
Sun Y
NY
Nuñez YZ
DH
Deng HW
CX
Chen XD
JA
Justice AC
KH
Kranzler HR
CS
Chang S
LL
Lu L
SJ
Shi J
SK
Sanichwankul K
MA
Mutirangura A
MR
Malison RT
GJ
Gelernter J
Chapter II

Abstract

Summary of the research findings

Alcohol use disorder (AUD) is a leading cause of death and disability worldwide. Genome-wide association studies (GWAS) have identified ~30 AUD risk genes in European populations, but many fewer in East Asians. We conducted GWAS and genome-wide meta-analysis of AUD in 13,551 subjects with East Asian ancestry, using published summary data and newly genotyped data from five cohorts: (1) electronic health record (EHR)-diagnosed AUD in the Million Veteran Program (MVP) sample; (2) DSM-IV diagnosed alcohol dependence (AD) in a Han Chinese-GSA (array) cohort; (3) AD in a Han Chinese-Cyto (array) cohort; and (4) two AD Thai cohorts. The MVP and Thai samples included newly genotyped subjects from ongoing recruitment. In total, 2254 cases and 11,297 controls were analyzed. An AUD polygenic risk score was analyzed in an independent sample with 4464 East Asians (Genetic Epidemiology Research in Adult Health and Aging (GERA)). Phenotypes from survey data and ICD-9-CM diagnoses were tested for association with the AUD PRS. Two risk loci were detected: the well-known functional variant rs1229984 in ADH1B and rs3782886 in BRAP (near the ALDH2 gene locus) are the lead variants. AUD PRS was significantly associated with days per week of alcohol consumption (beta = 0.43, SE = 0.067, p = 2.47 × 10-10) and nominally associated with pack years of smoking (beta = 0.09, SE = 0.05, p = 4.52 × 10-2) and ever vs. never smoking (beta = 0.06, SE = 0.02, p = 1.14 × 10-2). This is the largest GWAS of AUD in East Asians to date. Building on previous findings, we were able to analyze pleiotropy, but did not identify any new risk regions, underscoring the importance of recruiting additional East Asian subjects for alcohol GWAS.

2,254 East Asian ancestry cases, 11,297 East Asian ancestry controls

Chapter III

Study Statistics

Key metrics and study information

13551
Total Participants
GWAS
Study Type
No
Replicated
East Asian
Ancestry
U.S., China, Thailand
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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