Quantifying posterior effect size distribution of susceptibility loci by common summary statistics.

ABSTRACT: Testing millions of single nucleotide polymorphisms (SNPs) in genetic association studies has become a standard routine for disease gene discovery. In light of recent re-evaluation of statistical practice, it has been suggested that p-values are unfit as summaries of statistical evidence. Despite this criticism, p-values contain information that can be utilized to address the concerns about their flaws. We present a new method for utilizing evidence summarized by p-values for estimating odds ratio (OR) based on its approximate posterior distribution. In our method, only p-values, sample size, and standard deviation for ln(OR) are needed as summaries of data, accompanied by a suitable prior distribution for ln(OR) that can assume any shape. The parameter of interest, ln(OR), is the only par

SUBMITTER: Vsevolozhskaya OA 

PROVIDER: S-EPMC7502413 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature