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Enrichment of colorectal cancer associations in functional regions: Insight for using epigenomics data in the analysis of whole genome sequence-imputed GWAS data.

Authors :
Stephanie A Bien
Paul L Auer
Tabitha A Harrison
Conghui Qu
Charles M Connolly
Peyton G Greenside
Sai Chen
Sonja I Berndt
Stéphane Bézieau
Hyun M Kang
Jeroen Huyghe
Hermann Brenner
Graham Casey
Andrew T Chan
John L Hopper
Barbara L Banbury
Jenny Chang-Claude
Stephen J Chanock
Robert W Haile
Michael Hoffmeister
Christian Fuchsberger
Mark A Jenkins
Suzanne M Leal
Mathieu Lemire
Polly A Newcomb
Steven Gallinger
John D Potter
Robert E Schoen
Martha L Slattery
Joshua D Smith
Loic Le Marchand
Emily White
Brent W Zanke
Goncalo R Abeçasis
Christopher S Carlson
Ulrike Peters
Deborah A Nickerson
Anshul Kundaje
Li Hsu
GECCO and CCFR
Source :
PLoS ONE, Vol 12, Iss 11, p e0186518 (2017)
Publication Year :
2017
Publisher :
Public Library of Science (PLoS), 2017.

Abstract

BACKGROUND:The evaluation of less frequent genetic variants and their effect on complex disease pose new challenges for genomic research. To investigate whether epigenetic data can be used to inform aggregate rare-variant association methods (RVAM), we assessed whether variants more significantly associated with colorectal cancer (CRC) were preferentially located in non-coding regulatory regions, and whether enrichment was specific to colorectal tissues. METHODS:Active regulatory elements (ARE) were mapped using data from 127 tissues and cell-types from NIH Roadmap Epigenomics and Encyclopedia of DNA Elements (ENCODE) projects. We investigated whether CRC association p-values were more significant for common variants inside versus outside AREs, or 2) inside colorectal (CR) AREs versus AREs of other tissues and cell-types. We employed an integrative epigenomic RVAM for variants with allele frequency

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
12
Issue :
11
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.7f6b30b8e6f745f4b0347b6a2ebb6682
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0186518