Analyses of GWAS signal using GRIN identify additional genes contributing to suicidal behavior.

ABSTRACT: Genome-wide association studies (GWAS) identify genetic variants underlying complex traits but are limited by stringent genome-wide significance thresholds. We present GRIN (Gene set Refinement through Interacting Networks), which increases confidence in the expanded gene set by retaining genes strongly connected by biological networks when GWAS thresholds are relaxed. GRIN was validated on both simulated interrelated gene sets as well as multiple GWAS traits. From multiple GWAS summary statistics of suicide attempt, a complex phenotype, GRIN identified additional genes that replicated across independent cohorts and retained biologically interrelated genes despite a relaxed significance threshold. We present a conceptual model of how these retained genes interact through neurobiological pa

SUBMITTER: Sullivan KA 

PROVIDER: S-EPMC11494055 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature