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Genome-wide admixture mapping of DSM-IV alcohol dependence, criterion count, and the self-rating of the effects of ethanol in African American populations.

Dongbing LaiManav KapoorLeah WetherillMelanie SchwandtVijay A RamchandaniDavid GoldmanMichael ChaoLaura AlmasyKathleen BucholzRonald P HartChella KamarajanJacquelyn L MeyersJohn I NurnbergerJay TischfieldHoward J EdenbergMarc SchuckitAlison GoateDenise M ScottBernice PorjeszArpana AgrawalTatiana Foroud
Published in: American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics (2020)
African Americans (AA) have lower prevalence of alcohol dependence and higher subjective response to alcohol than European Americans. Genome-wide association studies (GWAS) have identified genes/variants associated with alcohol dependence specifically in AA; however, the sample sizes are still not large enough to detect variants with small effects. Admixture mapping is an alternative way to identify alcohol dependence genes/variants that may be unique to AA. In this study, we performed the first admixture mapping of DSM-IV alcohol dependence diagnosis, DSM-IV alcohol dependence criterion count, and two scores from the self-rating of effects of ethanol (SRE) as measures of response to alcohol: the first five times of using alcohol (SRE-5) and average of SRE across three times (SRE-T). Findings revealed a region on chromosome 4 that was genome-wide significant for SRE-5 (p value = 4.18E-05). Fine mapping did not identify a single causal variant to be associated with SRE-5; instead, conditional analysis concluded that multiple variants collectively explained the admixture mapping signal. PPARGC1A, a gene that has been linked to alcohol consumption in previous studies, is located in this region. Our finding suggests that admixture mapping is a useful tool to identify genes/variants that may have been missed by current GWAS approaches in admixed populations.
Keyphrases
  • alcohol consumption
  • genome wide
  • copy number
  • high resolution
  • dna methylation
  • african american
  • high density
  • gene expression
  • mass spectrometry
  • risk factors
  • peripheral blood
  • single cell
  • psychometric properties