Nature NeuroscienceGeneticsPeer-reviewed journal article
Trans-ancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders
Raymond Kenney WaltersiD, Renato A PolimantiiD, Emma C. JohnsoniD, Jeanette N. McClintickiD, Mark J. AdamsiD, Amy E. AdkinsiD, Fazil AlıeviD, Silviu‐Alin BacanuiD, Anthony J. BatzleriD, Sarah E. BertelseniD, Joanna M. BiernackaiD, Tim B. BigdeliiD, Li‐Shiun CheniD, Toni‐Kim ClarkeiD, Yi‐Ling Chou, Franziska DegenhardtiD, Anna R. DochertyiD, Alexis C. EdwardsiD, Pierre FontanillasiD, Jerome C. FooiD, Louis W. FoxiD, Josef FrankiD, Ina GieglingiD, Scott D. GordoniD, Laura M. HackiD, , Norbert WodarziD
Abstract
Liability to alcohol dependence (AD) is heritable, but little is known about its complex polygenic architecture or its genetic relationship with other disorders. To discover loci associated with AD and characterize the relationship between AD and other psychiatric and behavioral outcomes, we carried out the largest GWAS to date of DSM - IV diagnosed AD. Genome - wide data on 14,904 individuals with AD and 37,944 controls from 28 case / control and family - based studies were meta - analyzed, stratified by genetic ancestry (European, N = 46,568; African; N = 6,280). Independent, genome - wide significant effects of different ADH1B variants were identified in European (rs1229984; p = 9.8E - 13) and African ancestries (rs2066702; p = 2.2E - 9). Significant genetic correlations were observed with schizophrenia, ADHD, depression, and use of cigarettes and cannabis. There was only modest genetic correlation with alcohol consumption and inconsistent associations with problem drinking. The genetic underpinnings of AD only partially overlap with those for alcohol consumption, underscoring the genetic distinction between pathological and non - pathological drinking behaviors.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 631
- FWCI
- 39.09
- Field percentile
- top 1%
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