Integration of Population-Level Genotype Data with Functional Annotation Reveals Over-Representation of Long Noncoding RNAs at Ovarian Cancer Susceptibility Loci
Abstract
Background: Genome-wide association studies (GWAS) have identified multiple loci associated with epithelial ovarian cancer (EOC) susceptibility, but further progress requires integration of epidemiology and biology to illuminate true risk loci below genome-wide significance levels (P < 5 × 10−8). Most risk SNPs lie within non–protein-encoding regions, and we hypothesize that long noncoding RNA (lncRNA) genes are enriched at EOC risk regions and represent biologically relevant functional targets.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2017
- Source ID
- 10.1158/1055-9965.epi-16-0341
Entities
People
- Alvaro N.a. Monteiro
- Andrew Berchuck
- Brett M. Reid
- Catherine M. Phelan
- Celeste L. Pearce
- Edwin S. Iverson
- Ellen L Goode
- Georgia Chenevix-Trench
- Jamie K. Teer
- Jennifer A Doherty
- Jennifer B. Permuth
- Jin Q. Cheng
- Joellen M. Schildkraut
- Jonathan P Tyrer
- Kate Lawrenson
- Mary Anne Rossing
- Paul D. Pharoah
- Simon A Gayther
- Susan J. Ramus
- Thomas A. Sellers
- Y. Ann Chen
- Zhihua Chen
Organizations
- Canadian Institutes of Health Research
- Cancer Research UK
- National Cancer Institute
- National Cancer Institute Egypt
- National Center for Advancing Translational Sciences
- National Health and Medical Research Council
- National Institutes of Health
- Roswell Park Comprehensive Cancer Center
- United States Army Medical Research and Development Command
- University of Michigan
- University of Southern California