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...

Popoln opis

Shranjeno v:
Bibliografske podrobnosti
izdano v: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
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2017
Teme:
Research Article
Online dostop: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
Oznake: Označite
Brez oznak, prvi označite!

Podobne knjige/članki