Using Patterns of Genetic Association to Elucidate Shared Genetic Etiologies Across Psychiatric Disorders.

ABSTRACT: Twin studies indicate that latent genetic factors overlap across comorbid psychiatric disorders. In this study, we used a novel approach to elucidate shared genetic factors across psychiatric outcomes by clustering single nucleotide polymorphisms based on their genome-wide association patterns. We applied latent profile analysis (LPA) to p-values resulting from genome-wide association studies across three phenotypes: symptom counts of alcohol dependence (AD), antisocial personality disorder (ASP), and major depression (MD), using the European-American case-control genome-wide association study subsample of the collaborative study on the genetics of alcoholism (N = 1399). In the 3-class model, classes were characterized by overall low associations (85.6% of SNPs), relatively stronger associ

SUBMITTER: Cho SB 

PROVIDER: S-EPMC5996973 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature