QCGWAS: A flexible R package for automated quality control of genome-wide association results

Peter J van der Most; Ahmad Vaez; Bram P Prins; M Loretto Munoz; Harold Snieder; Behrooz Z Alizadeh; Ilja M Nolte

doi:10.1093/bioinformatics/btt745

QCGWAS: A flexible R package for automated quality control of genome-wide association results

Bioinformatics. 2014 Apr 15;30(8):1185-1186. doi: 10.1093/bioinformatics/btt745. Epub 2014 Jan 5.

Authors

Peter J van der Most¹, Ahmad Vaez¹, Bram P Prins², M Loretto Munoz¹, Harold Snieder¹, Behrooz Z Alizadeh¹, Ilja M Nolte¹

Affiliations

¹ Department of Epidemiology, University of Groningen, University Medical Center Groningen, P.O. box 30.001, 9700 RB Groningen, The Netherlands and Cardiogenetics Lab, Human Genetics Research Centre, St. George's Hospital Medical School, London SW17 0RE, UK.
² Department of Epidemiology, University of Groningen, University Medical Center Groningen, P.O. box 30.001, 9700 RB Groningen, The Netherlands and Cardiogenetics Lab, Human Genetics Research Centre, St. George's Hospital Medical School, London SW17 0RE, UK Department of Epidemiology, University of Groningen, University Medical Center Groningen, P.O. box 30.001, 9700 RB Groningen, The Netherlands and Cardiogenetics Lab, Human Genetics Research Centre, St. George's Hospital Medical School, London SW17 0RE, UK.

PMID: 24395754
DOI: 10.1093/bioinformatics/btt745

Abstract

QCGWAS is an R package that automates the quality control of genome-wide association result files. Its main purpose is to facilitate the quality control of a large number of such files before meta-analysis. Alternatively, it can be used by individual cohorts to check their own result files. QCGWAS is flexible and has a wide range of options, allowing rapid generation of high-quality input files for meta-analysis of genome-wide association studies.

Availability: http://cran.r-project.org/web/packages/QCGWAS CONTACT: i.m.nolte@umcg.nl Supplementary information: Supplementary data are available at Bioinformatics online.

MeSH terms

Computational Biology / methods*
Genome-Wide Association Study*
Humans
Quality Control
Software*