Additionally, tissue-specific eQTL associations were identified by comparing eQTL data from six cell types: LCLs, B cells, Monocytes, Brain, Liver, and Skin. Expression quantitative trait loci (eQTLs) are genomic loci that explain all or a fraction of GeneNetwork hosts many large eQTL mapping data sets and provide access to fast algorithms to map single loci and epistatic interactions. As is true in. Initial findings of a recent GWAS included multiple susceptibility loci mapping to a Mb gene desert region on chromosome 5 . eQTL data showed that.
Genet Epidemiol. Apr;42(3) doi: /gepi Epub Feb 7. Integrating eQTL data with GWAS summary statistics in pathway-based. We extracted publicly available data and computed the largest eQTL data set for liver tissue to date. Genotypes and expression data from all. We apply the method to five human complex traits using GWAS data on up to , individuals and eQTL data on 5, individuals, and we.
As part of Ensembl 85, we are excited to introduce expression quantitative trait loci (eQTL) data, through our partnership with the. Identification of eQTLs in PancanQTL database. (A) Genotyping data collection and processing. (B) Covariates analyzed in eQTL mapping. The Gene and Tissue Expression (GTEx) database contains eQTL data from over 70 different human tissues comprised from over 7, samples to date. It gives. The GTEx eQTL database and browser aims to provide a central resource to archive and display association between genetic variation and high-throughput.