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

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 a...

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שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:PLoS One
Main Authors: Bien, Stephanie A., Auer, Paul L., Harrison, Tabitha A., Qu, Conghui, Connolly, Charles M., Greenside, Peyton G., Chen, Sai, Berndt, Sonja I., Bézieau, Stéphane, Kang, Hyun M., Huyghe, Jeroen, Brenner, Hermann, Casey, Graham, Chan, Andrew T., Hopper, John L., Banbury, Barbara L., Chang-Claude, Jenny, Chanock, Stephen J., Haile, Robert W., Hoffmeister, Michael, Fuchsberger, Christian, Jenkins, Mark A., Leal, Suzanne M., Lemire, Mathieu, Newcomb, Polly A., Gallinger, Steven, Potter, John D., Schoen, Robert E., Slattery, Martha L., Smith, Joshua D., Le Marchand, Loic, White, Emily, Zanke, Brent W., Abeçasis, Goncalo R., Carlson, Christopher S., Peters, Ulrike, Nickerson, Deborah A., Kundaje, Anshul, Hsu, Li
פורמט: Artigo
שפה:Inglês
יצא לאור: Public Library of Science 2017
נושאים:
Research Article
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC5697874/
https://ncbi.nlm.nih.gov/pubmed/29161273
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0186518
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