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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697874/
https://www.ncbi.nlm.nih.gov/pubmed/29161273
http://dx.doi.org/10.1371/journal.pone.0186518

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697874/
https://www.ncbi.nlm.nih.gov/pubmed/29161273
http://dx.doi.org/10.1371/journal.pone.0186518

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