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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...

詳細記述

保存先:
書誌詳細
出版年:Nat Commun
主要な著者: 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.
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group UK 2021
主題:
オンライン・アクセス: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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