Association between X‐ray repair cross‐complementing group 1 Arg399Gln polymorphism and male infertility: An update meta‐analysis

Many packages for a meta-analysis of genome-wide association studies (GWAS) have been developed 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 easily process a meta-analysis by automatically selecting between a fixed effects and a random effects model based on heterogeneity. Beta-Meta implements flexible input data manipulation to allow multiple meta-analyses of different genotype-phenotype associations in a single process. It provides a step-by-step meta-analysis of GWAS for each association in the following order: heterogeneity test, two different calculations of an effect size and a p-value based on heterogeneity, and the Benjamini-Hochberg p-value adjustment. These methods enable users to validate the results of individual studies with greater statistical power and better estimation precision. We elaborate on these and illustrate them with examples from several studies of infertility-related disorders.

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Association between X‐ray repair cross‐complementing group 1 Arg399Gln polymorphism and male infertility: An update meta‐analysis

Abstract: Infertility, which has drawn an increasing attention around the world, is usually diagnosed as a couple with a failure of pregnancy after 1 year of unprotected regular sexual intercourse

Cited by 2 publications

References 58 publications

XRCC1 Polymorphisms p.Arg194Trp, p.Arg280His, and p.Arg399Gln, Polycyclic Aromatic Hydrocarbons, and Infertility: A Case–Control and In Silico Study

XRCC1 Polymorphisms p.Arg194Trp, p.Arg280His, and p.Arg399Gln, Polycyclic Aromatic Hydrocarbons, and Infertility: A Case–Control and In Silico Study

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

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