4.8 Article

A genome-wide association study of alcohol-dependence symptom counts in extended pedigrees identifies C15orf53

Journal

MOLECULAR PSYCHIATRY
Volume 18, Issue 11, Pages 1218-1224

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/mp.2012.143

Keywords

C15orf53; DSM-IV alcohol-dependence symptoms; family-based GWAS; quantitative traits

Funding

  1. NIH from the National Institute on Alcohol Abuse and Alcoholism (NIAAA) [U10AA008401]
  2. National Institute on Drug Abuse (NIDA)
  3. NIH Genes, Environment and Health Initiative (GEI) [U01 HG004422]
  4. Gene Environment Association Studies (GENEVA) under GEI
  5. COGA [U10 AA008401]
  6. Collaborative Genetic Study of Nicotine Dependence (COGEND) [P01 CA089392]
  7. Family Study of Cocaine Dependence (FSCD) [R01 DA013423, R01 DA019963]
  8. NIH GEI [U01HG004438]

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Several studies have identified genes associated with alcohol-use disorders (AUDs), but the variation in each of these genes explains only a small portion of the genetic vulnerability. The goal of the present study was to perform a genome-wide association study (GWAS) in extended families from the Collaborative Study on the Genetics of Alcoholism to identify novel genes affecting risk for alcohol dependence (AD). To maximize the power of the extended family design, we used a quantitative endophenotype, measured in all individuals: number of alcohol-dependence symptoms endorsed (symptom count (SC)). Secondary analyses were performed to determine if the single nucleotide polymorphisms (SNPs) associated with SC were also associated with the dichotomous phenotype, DSM-IV AD. This family-based GWAS identified SNPs in C15orf53 that are strongly associated with DSM-IV alcohol-dependence symptom counts (P = 4.5 x 10(-8), inflation-corrected P = 9.4 x 10(-7)). Results with DSM-IV AD in the regions of interest support our findings with SC, although the associations were less significant. Attempted replications of the most promising association results were conducted in two independent samples: nonoverlapping subjects from the Study of Addiction: Genes and Environment (SAGE) and the Australian Twin Family Study of AUDs (OZALC). Nominal association of C15orf53 with SC was observed in SAGE. The variant that showed strongest association with SC, rs12912251 and its highly correlated variants (D' = 1, r(2) >= 0.95), have previously been associated with risk for bipolar disorder.

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