From interaction to co-association --a Fisher r-to-z transformation-based simple statistic for real world genome-wide association study.

ABSTRACT: Currently, the genetic variants identified by genome wide association study (GWAS) generally only account for a small proportion of the total heritability for complex disease. One crucial reason is the underutilization of gene-gene joint effects commonly encountered in GWAS, which includes their main effects and co-association. However, gene-gene co-association is often customarily put into the framework of gene-gene interaction vaguely. From the causal graph perspective, we elucidate in detail the concept and rationality of gene-gene co-association as well as its relationship with traditional gene-gene interaction, and propose two Fisher r-to-z transformation-based simple statistics to detect it. Three series of simulations further highlight that gene-gene co-association refers to the ext

SUBMITTER: Yuan Z 

PROVIDER: S-EPMC3726765 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature