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

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Bin Cho S., Aliev F., Clark S. L. , Adkins A. E. , Edenberg H. J. , Bucholz K. K. , ...Daha Fazla

BEHAVIOR GENETICS, cilt.47, ss.405-415, 2017 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 47 Konu: 4
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1007/s10519-017-9844-4
  • Sayfa Sayıları: ss.405-415


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 association only with MD (6.8%), and stronger associations with AD and ASP but not with MD (7.6%), respectively. These results parallel the genetic factor structure identified in twin studies. The findings suggest that applying LPA to association results across multiple disorders may be a promising approach to identify the specific genetic etiologies underlying shared genetic variance.