Article

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

2020-10-21

Abstract excerpt

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-throughput computational predictors thus have lacked large gold standard sets of regulatory variants for training and va...

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Literature Corpus work: c7568adf-0fea-54ae-bdb9-eb09a3fff380
DOI: 10.1101/2020.10.20.347294

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