Applying meta-analysis to genotype-tissue expression data from multiple tissues to identify eQTLs and increase the number of eGenes

MOTIVATION: There is recent interest in using gene expression data to contextualize findings from traditional genome-wide association studies (GWAS). Conditioned on a tissue, expression quantitative trait loci (eQTLs) are genetic variants associated with gene expression, and eGenes are genes whose e...

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Dettagli Bibliografici
Pubblicato in:Bioinformatics
Autori principali: Duong, Dat, Gai, Lisa, Snir, Sagi, Kang, Eun Yong, Han, Buhm, Sul, Jae Hoon, Eskin, Eleazar
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2017
Soggetti:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5870567/
https://ncbi.nlm.nih.gov/pubmed/28881962
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx227
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