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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030458/
https://www.ncbi.nlm.nih.gov/pubmed/29942083
http://dx.doi.org/10.1038/s41588-018-0148-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030458/
https://www.ncbi.nlm.nih.gov/pubmed/29942083
http://dx.doi.org/10.1038/s41588-018-0148-2

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