Genome-wide meta-analysis of alcohol use disorder in East Asians.
Hang ZhouRasmon KalayasiriYan SunYaira Z NuñezHong-Wen DengXiang-Ding ChenAmy C JusticeHenry R KranzlerSu-Hua ChangLin LuJie ShiKittipong SanichwankulApiwat MutiranguraRobert T MalisonJoshua C GrayPublished in: Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology (2022)
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.
Keyphrases
- alcohol use disorder
- genome wide
- electronic health record
- alcohol consumption
- copy number
- dna methylation
- genome wide association study
- systematic review
- genome wide association
- healthcare
- public health
- big data
- high resolution
- high throughput
- multiple sclerosis
- smoking cessation
- risk factors
- adverse drug
- machine learning
- mental health
- cross sectional
- climate change
- gene expression
- risk assessment
- social media
- mass spectrometry
- deep learning
- health promotion
- breast cancer risk