QCEWAS: automated quality control of results of epigenome-wide association studies

Peter J. Van Der Most, Leanne K. Küpers, Harold Snieder, Ilja Nolte*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

2 Citations (Scopus)
170 Downloads (Pure)

Abstract

Summary: The increasing popularity of epigenome-wide association studies (EWAS) has led to the establishment of several large international meta-analysis consortia. However, when using data originating from multiple sources, a thorough and centralized quality control is essential. To facilitate this, we developed the QCEWAS R package. QCEWAS enables automated quality control of results files of EWAS. QCEWAS produces cohort-specific statistics and graphs to interpret the quality of the results files, graphs comparing results of multiple cohorts, as well as cleaned input files ready for meta-analysis.

Original languageEnglish
Pages (from-to)1243-1245
Number of pages3
JournalBioinformatics
Volume33
Issue number8
Early online date24 Jan 2017
DOIs
Publication statusPublished - 15 Apr 2017

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