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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...
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| 出版年: | Nat Commun |
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| 主要な著者: | , , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2021
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| 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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