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Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

dc.contributor.authorBarbeira, Alvaro N.
dc.contributor.authorBonazzola, Rodrigo
dc.contributor.authorGamazon, Eric R.
dc.contributor.authorLiang, Yanyu
dc.contributor.authorPark, YoSon
dc.contributor.authorKim-Hellmuth, Sarah
dc.contributor.authorWang, Gao
dc.contributor.authorJiang, Zhuoxun
dc.contributor.authorZhou, Dan
dc.contributor.authorHormozdiari, Farhad
dc.contributor.authorLiu, Boxiang
dc.contributor.authorRao, Abhiram
dc.contributor.authorHamel, Andrew R.
dc.contributor.authorPividori, Milton D.
dc.contributor.authorAguet, François
dc.contributor.authorBastarache, Lisa
dc.contributor.authorJordan, Daniel M.
dc.contributor.authorVerbanck, Marie
dc.contributor.authorDo, Ron
dc.contributor.authorStephens, Matthew
dc.contributor.authorArdlie, Kristin
dc.contributor.authorMcCarthy, Mark
dc.contributor.authorMontgomery, Stephen B.
dc.contributor.authorSegrè, Ayellet V.
dc.contributor.authorBrown, Christopher D.
dc.contributor.authorLappalainen, Tuuli
dc.contributor.authorWen, Xiaoquan
dc.contributor.authorIm, Hae Kyung
dc.date.accessioned2022-08-10T18:36:32Z
dc.date.available2022-08-10T18:36:32Z
dc.date.issued2021-01-26
dc.identifier.citationGenome Biology. 2021 Jan 26;22(1):49
dc.identifier.urihttps://doi.org/10.1186/s13059-020-02252-4
dc.identifier.urihttps://hdl.handle.net/2027.42/173861en
dc.description.abstractAbstract The resources generated by the GTEx consortium offer unprecedented opportunities to advance our understanding of the biology of human diseases. Here, we present an in-depth examination of the phenotypic consequences of transcriptome regulation and a blueprint for the functional interpretation of genome-wide association study-discovered loci. Across a broad set of complex traits and diseases, we demonstrate widespread dose-dependent effects of RNA expression and splicing. We develop a data-driven framework to benchmark methods that prioritize causal genes and find no single approach outperforms the combination of multiple approaches. Using colocalization and association approaches that take into account the observed allelic heterogeneity of gene expression, we propose potential target genes for 47% (2519 out of 5385) of the GWAS loci examined.
dc.titleExploiting the GTEx resources to decipher the mechanisms at GWAS loci
dc.typeJournal Article
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/173861/1/13059_2020_Article_2252.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/5592
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dc.date.updated2022-08-10T18:36:31Z
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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