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MethylPCA: a toolkit to control for confounders in methylome-wide association studies

Wenan Chen1, Guimin Gao1*, Srilaxmi Nerella2, Christina M Hultman3, Patrik KE Magnusson3, Patrick F Sullivan3,4, Karolina A Aberg2 and Edwin JCG van den Oord2*

1 Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA

2 Center for Biomarker Research and Personalized Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, VA, USA

3 Swedish Schizophrenia Consortium, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden

4 Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

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BMC Bioinformatics 2013, 14:74 doi:10.1186/1471-2105-14-74

Published: 2 March 2013

Additional files

Additional file 1:

User guide of the software.

Format: DOCX Size: 52KB Download file

Open Data

Additional file 2:

Supplemental material with a brief proof of the Equations (1)-(3), detail on the simulation study, and description of laboratory procedures and QC of the real methylation data.

Format: DOCX Size: 71KB Download file

Open Data