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

Biology

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

Q. S. Wang, D. R. Kelley, et al.

Unlock the secrets of non-coding genetic variants with groundbreaking insights from the research conducted by Qingbo S. Wang and colleagues. Using the innovative Expression Modifier Score (EMS) predictor, this study reveals improved prioritization of eQTLs, uncovering over 20,000 additional putative causal variants and 310 candidate genes through co-localization with UK Biobank phenotypes.... show more
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