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Epigenetics Volume 15, 2020 - Issue 11
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Brief Report

Test-statistic inflation in methylome-wide association studies

Jerry Guintivanoa Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USACorrespondence[email protected]
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Andrey A Shabalinb Department of Psychiatry, University of Utah, Salt Lake City, UT, USAORCID Iconhttps://orcid.org/0000-0003-0309-6821View further author information
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Robin F. Chanc Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USAORCID Iconhttps://orcid.org/0000-0002-1774-4087View further author information
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David R. Rubinowa Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USAView further author information
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Patrick F. Sullivana Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA;d Department of Genetics, University of North Carolina, Chapel Hill, NC, USA;e Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, SwedenView further author information
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Samantha Meltzer-Brodya Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USAView further author information
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Karolina a Abergc Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USAORCID Iconhttps://orcid.org/0000-0001-6103-5168View further author information
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Edwin J. C. G. van den Oordc Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USAView further author information
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Pages 1163-1166 | Received 31 Jan 2020, Accepted 26 Mar 2020, Published online: 19 May 2020

References

  • Yang J, Weedon MN, Purcell S, et al. Genomic inflation factors under polygenic inheritance. Eur J Hum Genet. 2011;19:807–812.
  • Shabalin AA, Hattab MW, Clark SL, et al. RaMWAS: fast methylome-wide association study pipeline for enrichment platforms. Bioinformatics. 2018;34:2283–2285.
  • Guintivano J, Sullivan PF, Stuebe AM, et al. Adverse life events, psychiatric history, and biological predictors of postpartum depression in an ethnically diverse sample of postpartum women. Psychol Med. 2018;48:1190–1200.

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