Leveraging molecular quantitative trait loci to understand the genetic architecture of diseases and complex traits

There is increasing evidence that many GWAS risk loci are molecular QTL (eQTL, hQTL, sQTL, and/or meQTL). Here, we introduce a new set of functional annotations based on causal posterior probabilities of fine-mapped molecular cis-QTL, using data from the GTEx and BLUEPRINT consortia. We show that th...

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Bibliografiska uppgifter
I publikationen:Nat Genet
Huvudupphovsmän: Hormozdiari, Farhad, Gazal, Steven, van de Geijn, Bryce, Finucane, Hilary, Ju, Chelsea J.-T., Loh, Po-Ru, Schoech, Armin, Reshef, Yakir, Liu, Xuanyao, O’Connor, Luke, Gusev, Alexander, Eskin, Eleazar, Price, Alkes L.
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2018
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Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6030458/
https://ncbi.nlm.nih.gov/pubmed/29942083
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41588-018-0148-2
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