Using genetic information from candidate gene and genome-wide association studies in risk prediction for alcohol dependence.

ABSTRACT: Family-based and genome-wide association studies (GWAS) of alcohol dependence (AD) have reported numerous associated variants. The clinical validity of these variants for predicting AD compared with family history information has not been reported. Using the Collaborative Study on the Genetics of Alcoholism (COGA) and the Study of Addiction: Genes and Environment (SAGE) GWAS samples, we examined the aggregate impact of multiple single nucleotide polymorphisms (SNPs) on risk prediction. We created genetic sum scores by adding risk alleles associated in discovery samples, and then tested the scores for their ability to discriminate between cases and controls in validation samples. Genetic sum scores were assessed separately for SNPs associated with AD in candidate gene studies and SNPs from

SUBMITTER: Yan J 

PROVIDER: S-EPMC3664249 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature