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

Overview of attention for article published in Molecular Psychiatry, October 2012
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Title
A genome-wide association study of alcohol-dependence symptom counts in extended pedigrees identifies C15orf53
Published in
Molecular Psychiatry, October 2012
DOI 10.1038/mp.2012.143
Pubmed ID
Authors

J-C Wang, T Foroud, A L Hinrichs, N X H Le, S Bertelsen, J P Budde, O Harari, D L Koller, L Wetherill, A Agrawal, L Almasy, A I Brooks, K Bucholz, D Dick, V Hesselbrock, E O Johnson, S Kang, M Kapoor, J Kramer, S Kuperman, P A F Madden, N Manz, N G Martin, J N McClintick, G W Montgomery, J I Nurnberger, M Rangaswamy, J Rice, M Schuckit, J A Tischfield, J B Whitfield, X Xuei, B Porjesz, A C Heath, H J Edenberg, L J Bierut, A M Goate

Abstract

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 × 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Unknown 64 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Researcher 9 14%
Student > Bachelor 7 11%
Professor 5 8%
Student > Doctoral Student 5 8%
Other 10 15%
Unknown 18 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 15%
Psychology 8 12%
Agricultural and Biological Sciences 7 11%
Neuroscience 6 9%
Medicine and Dentistry 5 8%
Other 5 8%
Unknown 25 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 October 2014.
All research outputs
#18,381,794
of 22,768,097 outputs
Outputs from Molecular Psychiatry
#3,768
of 4,094 outputs
Outputs of similar age
#140,214
of 183,547 outputs
Outputs of similar age from Molecular Psychiatry
#36
of 39 outputs
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