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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184741/
https://www.ncbi.nlm.nih.gov/pubmed/34099641
http://dx.doi.org/10.1038/s41467-021-23134-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184741/
https://www.ncbi.nlm.nih.gov/pubmed/34099641
http://dx.doi.org/10.1038/s41467-021-23134-8

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