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A meta-analysis of two genome-wide association studies to identify novel loci for maximum number of alcoholic drinks
A meta-analysis of two genome-wide association studies to identify novel loci for maximum number of alcoholic drinks
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A meta-analysis of two genome-wide association studies to identify novel loci for maximum number of alcoholic drinks
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A meta-analysis of two genome-wide association studies to identify novel loci for maximum number of alcoholic drinks
A meta-analysis of two genome-wide association studies to identify novel loci for maximum number of alcoholic drinks

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A meta-analysis of two genome-wide association studies to identify novel loci for maximum number of alcoholic drinks
A meta-analysis of two genome-wide association studies to identify novel loci for maximum number of alcoholic drinks
Journal Article

A meta-analysis of two genome-wide association studies to identify novel loci for maximum number of alcoholic drinks

2013
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Overview
Maximum number of alcoholic drinks consumed in a 24-h period (maxdrinks) is a heritable (>50 %) trait and is strongly correlated with vulnerability to excessive alcohol consumption and subsequent alcohol dependence (AD). Several genome-wide association studies (GWAS) have studied alcohol dependence, but few have concentrated on excessive alcohol consumption. We performed two GWAS using maxdrinks as an excessive alcohol consumption phenotype: one in 118 extended families ( N  = 2,322) selected from the Collaborative Study on the Genetics of Alcoholism (COGA), and the other in a case–control sample ( N  = 2,593) derived from the Study of Addiction: Genes and Environment (SAGE). The strongest association in the COGA families was detected with rs9523562 ( p  = 2.1 × 10 −6 ) located in an intergenic region on chromosome 13q31.1; the strongest association in the SAGE dataset was with rs67666182 ( p  = 7.1 × 10 −7 ), located in an intergenic region on chromosome 8. We also performed a meta-analysis with these two GWAS and demonstrated evidence of association in both datasets for the LMO1 ( p  = 7.2 × 10 −7 ) and PLCL1 genes ( p  = 4.1 × 10 −6 ) with maxdrinks. A variant in AUTS2 and variants in INADL , C15orf32 and HIP1 that were associated with measures of alcohol consumption in a meta-analysis of GWAS studies and a GWAS of alcohol consumption factor score also showed nominal association in the current meta-analysis. The present study has identified several loci that warrant further examination in independent samples. Among the top SNPs in each of the dataset ( p  ≤ 10 −4 ) far more showed the same direction of effect in the other dataset than would be expected by chance ( p  = 2 × 10 −3 , 3 × 10 −6 ), suggesting that there are true signals among these top SNPs, even though no SNP reached genome-wide levels of significance.