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

dc.contributor.authorWang, Jen-Chyong
dc.contributor.authorForoud, Tatiana
dc.contributor.authorHinrichs, Anthony L.
dc.contributor.authorLe, Nhung X. H.
dc.contributor.authorBertelsen, Sarah
dc.contributor.authorBudde, John P.
dc.contributor.authorHarari, Oscar
dc.contributor.authorKoller, Daniel L.
dc.contributor.authorWetherill, Leah
dc.contributor.authorAgrawal, Arpana
dc.contributor.authorAlmasy, Laura
dc.contributor.authorBrooks, Andrew I.
dc.contributor.authorBucholz, Kathleen
dc.contributor.authorDick, Danielle
dc.contributor.authorHesselbrock, Victor
dc.contributor.authorJohnson, Eric O.
dc.contributor.authorKang, Sun
dc.contributor.authorKapoor, Manav
dc.contributor.authorKramer, John
dc.contributor.authorKuperman, Samuel
dc.contributor.authorMadden, Pamela A. F.
dc.contributor.authorManz, Niklas
dc.contributor.authorMartin, Nicholas G.
dc.contributor.authorMcClintick, Jeanette N.
dc.contributor.authorMontgomery, Grant W.
dc.contributor.authorNurnberger, John I., Jr.
dc.contributor.authorRangaswamy, Madhavi
dc.contributor.authorRice, John
dc.contributor.authorSchuckit, Marc
dc.contributor.authorTischfield, Jay A.
dc.contributor.authorWhitfield, John B.
dc.contributor.authorXuei, Xiaoling
dc.contributor.authorPorjesz, Bernice
dc.contributor.authorHeath, Andrew C.
dc.contributor.authorEdenberg, Howard J.
dc.contributor.authorBierut, Laura J.
dc.contributor.authorGoate, Alison M.
dc.contributor.departmentMedical and Molecular Genetics, School of Medicine
dc.date.accessioned2025-06-12T09:29:49Z
dc.date.available2025-06-12T09:29:49Z
dc.date.issued2013
dc.description.abstractSeveral 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 × 10(-8), inflation-corrected P=9.4 × 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.
dc.eprint.versionAuthor's manuscript
dc.identifier.citationWang JC, Foroud T, Hinrichs AL, et al. A genome-wide association study of alcohol-dependence symptom counts in extended pedigrees identifies C15orf53. Mol Psychiatry. 2013;18(11):1218-1224. doi:10.1038/mp.2012.143
dc.identifier.urihttps://hdl.handle.net/1805/48634
dc.language.isoen_US
dc.publisherSpringer Nature
dc.relation.isversionof10.1038/mp.2012.143
dc.relation.journalMolecular Psychiatry
dc.rightsPublisher Policy
dc.sourcePMC
dc.subjectDSM-IV alcohol dependence symptoms
dc.subjectFamily-based GWAS
dc.subjectC15orf53
dc.subjectQuantitative traits
dc.titleA genome wide association study of alcohol dependence symptom counts in extended pedigrees identifies C15orf53
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Wang2013Genome-AAM.pdf
Size:
739.67 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.04 KB
Format:
Item-specific license agreed upon to submission
Description: