Beta-Meta: a meta-analysis application considering heterogeneity among genome-wide association studies.

ABSTRACT: Many packages for a meta-analysis of genome-wide association studies (GWAS) have beendeveloped to discover genetic variants. Although variations across studies must be considered, there are not many currently-accessible packages that estimate between-study heterogeneity. Thus, we propose a python based application called Beta-Meta which can easilyprocess a meta-analysis by automatically selecting between a fixed effects and a randomeffects model based on heterogeneity. Beta-Meta implements flexible input data manipulation to allow multiple meta-analyses of different genotype-phenotype associations in asingle process. It provides a step-by-step meta-analysis of GWAS for each association inthe following order: heterogeneity test, two different calculations of an effect size and ap-value base

SUBMITTER: Kim G 

PROVIDER: S-EPMC9847376 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature