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

Peter J. van der Most; Ahmad Vaez; Bram P. Prins; Loretto Muñoz Venegas; 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

Peter J. van der Most, Ahmad Vaez, Bram P. Prins, Loretto Muñoz Venegas, Harold Snieder, Behrooz Z. Alizadeh, Ilja M. Nolte

Research output: Contribution to journal › Article › Academic › peer-review

14 Citations (Scopus)

Abstract

SUMMARY: 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.

Original language	English
Pages (from-to)	1185-1186
Number of pages	2
Journal	Bioinformatics (Oxford, England)
Volume	30
Issue number	8
Early online date	5-Jan-2014
DOIs	https://doi.org/10.1093/bioinformatics/btt745
Publication status	Published - 15-Apr-2014

Keywords

GWAS
Qaulity Control
Genome-Wide Assocation Study
R
META ANALYSIS

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QCGWAS A flexible R package for automated quality control of genome-wide
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14 Citations
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QCGWAS: A flexible R package for automated quality control of genome-wide association results
van der Most, P. J., Vaez Barzani, A., Prins, B., Muñoz Venegas, L., Snieder, H., Ziad Alizadeh, B. & Nolte, I. M., Apr-2014
Research output: Non-textual form › Software › Academic

Cite this

@article{a05843d3d8474227966190863c75923c,

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

abstract = "SUMMARY: 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.",

keywords = "GWAS, Qaulity Control, Genome-Wide Assocation Study, R, META ANALYSIS",

author = "{van der Most}, {Peter J.} and Ahmad Vaez and Prins, {Bram P.} and {Mu{\~n}oz Venegas}, Loretto and Harold Snieder and Alizadeh, {Behrooz Z.} and Nolte, {Ilja M.}",

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T2 - A flexible R package for automated quality control of genome-wide association results

AU - van der Most, Peter J.

AU - Vaez, Ahmad

AU - Prins, Bram P.

AU - Muñoz Venegas, Loretto

AU - Snieder, Harold

AU - Alizadeh, Behrooz Z.

AU - Nolte, Ilja M.

PY - 2014/4/15

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N2 - SUMMARY: 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.

AB - SUMMARY: 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.

KW - GWAS

KW - Qaulity Control

KW - Genome-Wide Assocation Study

KW - R

KW - META ANALYSIS

U2 - 10.1093/bioinformatics/btt745

DO - 10.1093/bioinformatics/btt745

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