Leveraging supervised learning for functionally informed fine-mapping of cis-eQTLs identifies an additional 20,913 putative causal eQTLs

The large majority of variants identified by GWAS are non-coding, motivating detailed characterization of the function of non-coding variants. Experimental methods to assess variants’ effect on gene expressions in native chromatin context via direct perturbation are low-throughput. Existing high-thr...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Gepubliceerd in:Nat Commun
Hoofdauteurs: Wang, Qingbo S., Kelley, David R., Ulirsch, Jacob, Kanai, Masahiro, Sadhuka, Shuvom, Cui, Ran, Albors, Carlos, Cheng, Nathan, Okada, Yukinori, Aguet, Francois, Ardlie, Kristin G., MacArthur, Daniel G., Finucane, Hilary K.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Publishing Group UK 2021
Onderwerpen:
Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8184741/
https://ncbi.nlm.nih.gov/pubmed/34099641
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-23134-8
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

Gelijkaardige items