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Research data . Dataset . 2017
Additional file 6: of Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome
Cheung, Warren; Xiaojian Shao; Morin, Andréanne; Siroux, Valérie; Kwan, Tony; Ge, Bing; Aïssi, Dylan; +26 Authors
Cheung, Warren; Xiaojian Shao; Morin, Andréanne; Siroux, Valérie; Kwan, Tony; Ge, Bing; Aïssi, Dylan; Chen, Lu; Vasquez, Louella; Allum, Fiona; Guénard, Frédéric; Bouzigon, Emmanuelle; Marie-Michelle Simon; Boulier, Elodie; Redensek, Adriana; Watt, Stephen; Avik Datta; Clarke, Laura; Flicek, Paul; Mead, Daniel; Paul, Dirk; Beck, Stephan; Bourque, Guillaume; Lathrop, Mark; Tchernof, André; Marie-Claude Vohl; Demenais, Florence; Pin, Isabelle; Downes, Kate; Stunnenberg, Hendrick; Soranzo, Nicole; Pastinen, Tomi; Grundberg, Elin;
Open Access
Published: 01 Jan 2017
Publisher: Figshare
Abstract
AS and NAS CpG methylation to RNA expression correlations. This mini-website describes the file format and links to individual correlation results for each cell type (.txt tab-separated text file). (ZIP 18638 kb)
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Funded by
UKRI| Study of the interplay of genetic, biochemical, and lifestyle factors on coronary heart disease incidence, CIHR, WT, ANR| RESET-AID Consortium
Project
- Funder: UK Research and Innovation (UKRI)
- Project Code: G0800270
- Funding stream: MRC
Project
- Funder: Canadian Institutes of Health Research (CIHR)
Project
- Funder: Wellcome Trust (WT)
Project
RESET-AID Consortium
REsolving Systems Epigenomes of T-cells from Autoimmune and Inflammatory Disease patients
- Funder: French National Research Agency (ANR) (ANR)
- Project Code: ANR-15-EPIG-0004
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AS and NAS CpG methylation to RNA expression correlations. This mini-website describes the file format and links to individual correlation results for each cell type (.txt tab-separated text file). (ZIP 18638 kb)