Identifying loci with different allele frequencies among cases of eight psychiatric disorders using CC-GWAS.

ABSTRACT: Psychiatric disorders are highly genetically correlated, but little research has been conducted on the genetic differences between disorders. We developed a new method (case-case genome-wide association study; CC-GWAS) to test for differences in allele frequency between cases of two disorders using summary statistics from the respective case-control GWAS, transcending current methods that require individual-level data. Simulations and analytical computations confirm that CC-GWAS is well powered with effective control of type I error. We applied CC-GWAS to publicly available summary statistics for schizophrenia, bipolar disorder, major depressive disorder and five other psychiatric disorders. CC-GWAS identified 196 independent case-case loci, including 72 CC-GWAS-specific loci that were not

SUBMITTER: Peyrot WJ 

PROVIDER: S-EPMC8038973 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature