BIGwas: Single-command quality control and association testing for multi-cohort and biobank-scale GWAS/PheWAS data.

ABSTRACT:

Background

Genome-wide association studies (GWAS) and phenome-wide association studies (PheWAS) involving 1 million GWAS samples from dozens of population-based biobanks present a considerable computational challenge and are carried out by large scientific groups under great expenditure of time and personnel. Automating these processes requires highly efficient and scalable methods and software, but so far there is no workflow solution to easily process 1 million GWAS samples.

Results

Here we present BIGwas, a portable, fully automated quality control and association testing pipeline for large-scale binary and quantitative trait GWAS data provided by biobank resources. By using Nextflow workflow and Singularity software container technology, BIGwas performs resource-efficien

SUBMITTER: Kassens JC 

PROVIDER: S-EPMC8239664 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature