eQTL analysis from co-localization of 2739 GWAS loci detects associated genes across 14 human cancers.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of theoretical biology"
DOI: 10.1016/j.jtbi.2018.10.059
Abstract: Genetic variants can predict other "linked" diseases because alterations in one or more genes in vivo may affect relevant phenotype properties. Our study systematically explored the pan-cancer common gene and cancer type-specific genes based on… read more here.
Keywords: cancer; eqtl analysis; analysis localization; gwas loci ... See more keywords
Colon-specific eQTL analysis to inform on functional SNPs
Sign Up to like & getrecommendations! Published in 2018 at "British Journal of Cancer"
DOI: 10.1038/s41416-018-0018-9
Abstract: BackgroundGenome-wide association studies on colorectal cancer have identified more than 60 susceptibility loci, but for most of them there is no clear knowledge of functionality or the underlying gene responsible for the risk modification. Expression… read more here.
Keywords: eqtl analysis; snps; analysis; colon ... See more keywords
powerEQTL: An R package and shiny application for sample size and power calculation of bulk tissue and single-cell eQTL analysis.
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab385
Abstract: SUMMARY Genome-wide association studies (GWAS) have revealed thousands of genetic loci for common diseases. One of the main challenges in the post-GWAS era is to understand the causality of the genetic variants. Expression quantitative trait… read more here.
Keywords: single cell; eqtl analysis; bulk tissue; power ... See more keywords