An expanded variant list and assembly annotation identifies multiple novel coding and noncoding genes for prostate cancer risk using a normal prostate tissue eQTL data set.
Prostate cancer (PrCa) is highly heritable; 284 variants have been identified to date that are associated with increased prostate cancer risk, yet few genes contributing to its development are known. Expression quantitative trait loci (eQTL) studies link variants with affected genes, helping to dete...
Main Authors: | Melissa S DeRycke, Melissa C Larson, Asha A Nair, Shannon K McDonnell, Amy J French, Lori S Tillmans, Shaun M Riska, Saurabh Baheti, Zachary C Fogarty, Nicholas B Larson, Daniel R O'Brien, John C Cheville, Liang Wang, Daniel J Schaid, Stephen N Thibodeau |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2019-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0214588 |
Similar Items
-
Robust Linear Models for Cis-eQTL Analysis.
by: Mattias Rantalainen, et al.
Published: (2015-01-01) -
eQTL epistasis – challenges and computational approaches
by: Yang eHuang, et al.
Published: (2013-05-01) -
SNP eQTL status and eQTL density in the adjacent region of the SNP are associated with its statistical significance in GWA studies
by: Ivan Gorlov, et al.
Published: (2019-11-01) -
Dissecting the eQTL Micro-Architecture in Caenorhabditis elegans
by: Mark G. Sterken, et al.
Published: (2020-11-01) -
Integrative analysis of low- and high-resolution eQTL.
by: Salvatore Loguercio, et al.
Published: (2010-11-01)