Estimating Effect Sizes and Expected Replication Probabilities from GWAS Summary Statistics.

ABSTRACT: Genome-wide Association Studies (GWAS) result in millions of summary statistics ("z-scores") for single nucleotide polymorphism (SNP) associations with phenotypes. These rich datasets afford deep insights into the nature and extent of genetic contributions to complex phenotypes such as psychiatric disorders, which are understood to have substantial genetic components that arise from very large numbers of SNPs. The complexity of the datasets, however, poses a significant challenge to maximizing their utility. This is reflected in a need for better understanding the landscape of z-scores, as such knowledge would enhance causal SNP and gene discovery, help elucidate mechanistic pathways, and inform future study design. Here we present a parsimonious methodology for modeling effect sizes and r

SUBMITTER: Holland D 

PROVIDER: S-EPMC4754432 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature