Integration of disease association and eQTL data using a Bayesian colocalisation approach highlights six candidate causal genes in immune-mediated diseases
The genes and cells that mediate genetic associations identified through genome-wide association studies (GWAS) are only partially understood. Several studies that have investigated the genetic regulation of gene expression have shown that disease-associated variants are over-represented amongst exp...
Main Authors: | Guo, Hui, Fortune, Mary D., Burren, Oliver S., Schofield, Ellen, Todd, John A., Wallace, Chris |
---|---|
Format: | Online |
Language: | English |
Published: |
Oxford University Press
2015
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498151/ |
Similar Items
-
Prior knowledge guided eQTL mapping for identifying candidate genes
by: Wang, Yunli, et al.
Published: (2016) -
Reveal—visual eQTL analytics
by: Jäger, Günter, et al.
Published: (2012) -
Meta-eQTL: a tool set for flexible eQTL meta-analysis
by: Di Narzo, Antonio Fabio, et al.
Published: (2014) -
Genome-wide QTL and eQTL analyses using Mendel
by: Zhou, Hua, et al.
Published: (2016) -
eQTL Epistasis – Challenges and Computational Approaches
by: Huang, Yang, et al.
Published: (2013)