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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Detalhes bibliográficos
Publicado no: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
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2017
Assuntos:
Research Article
Acesso em linha: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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