[gwasfilter: an R script to filter genome-wide association study]

Objective: To develop an R script that can efficiently and accurately filter genome-wide association studies (GWASs) from the GWAS Catalog Website. Methods: The selection principles of GWASs were established based on previous studies. The process of manual filtering in the GWAS Catalog was abstracted as standard algorithms. The R script (gwasfilter.R) was written by two programmers and tested many times. Results: It takes six steps for gwasfilter.R to filter GWASs. There are five main self-defined functions among this R script. GWASs can be filtered based on "whether the GWAS has been replicated" "sample size" "ethnicity of the study population" and other conditions. It takes no more than 1 second for this script to filter GWASs of a single trait. Conclusions: This R script (gwasfilter.R) is user-friendly and provides an efficient and standard process to filter GWASs flexibly. The source code is available at github (https://github.com/lab319/gwas_filter).