SECA: SNP effect concordance analysis using genome-wide association summary results

Dale R. Nyholt
2014 Computer applications in the biosciences : CABIOS  
The genomics era provides opportunities to assess the genetic overlap across phenotypes at the measured genotype level; however, current approaches require individual-level genome-wide association (GWA) single nucleotide polymorphism (SNP) genotype data in one or both of a pair of GWA samples. To facilitate the discovery of pleiotropic effects and examine genetic overlap across two phenotypes, I have developed a user-friendly web-based application called SECA to perform SNP effect concordance
more » ... ffect concordance analysis using GWA summary results.
doi:10.1093/bioinformatics/btu171 pmid:24695403 fatcat:yas7hqmtszefjbtiicpuoiadxi