Identification of tissue-specific and common methylation quantitative trait loci in healthy individuals using MAGAR#
Authors#
Michael Scherer, Gilles Gasparoni, Souad Rahmouni, Tatiana Shashkova, Marion Arnoux, Edouard Louis, Arina Nostaeva, Diana Avalos, Emmanouil T. Dermitzakis, Yurii S. Aulchenko, Thomas Lengauer, Paul A. Lyons, Michel Georges & Jörn Walter
Abstract#
Understanding the influence of genetic variants on DNA methylation is fundamental for the interpretation of epigenomic data in the context of disease. The dataset developed in this project provides matched genotyping and DNA methylation data in four tissues (ileum, rectum, T-cells, B-cells) from healthy individuals. Using this data, we demonstrate the discrimination of common from cell-type-specific methQTLs. Our analysis demonstrates that a systematic analysis of methQTLs provides important new insights on the influences of genetic variants to cell-type-specific epigenomic variation.
Data access#
Data is available on Owncloud. The data sustainability is provided by ELIXIR Luxembourg via its data hosting services.
Publications#
Identification of tissue-specific and common methylation quantitative trait loci in healthy individuals using MAGAR (DOI 10.1186/s13072-021-00415-6).
