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...

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Detalhes bibliográficos
Publicado no:Nat Commun
Main Authors: 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.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
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Article
Acesso em linha: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
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