WhichTF is dominant in your open chromatin data?
We develop an ontology-guided approach to ranking tissue-/cell-type-specific transcription factors (TFs) from chromatin accessibility data.
A cross-population atlas of genetic associations for 220 human phenotypes
Using a set of GWAS summary statistics of diseases characterized from both European (UK Biobank and FinnGen) and East Asian (Biobank Japan) populations, we dissected latent DeGAs …
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Polygenic risk modeling with latent trait-related genetic components
Polygenic risk score (PRS) has been proposed for disease risk prediction with potential clinical relevance for some traits, but its personalized interpretation is generally …
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Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight adipocyte biology
We developed DeGAs to decompose shared genetic associations across 2,138 UK Biobank phenotypes and identify their underlying pleiotropic structure.
SNPs2ChIP: Latent Factors of ChIP-seq to infer functions of non-coding SNPs
We propose SNPs2ChIP, a method to infer biological functions of non-coding variants through unsupervised statistical learning methods applied to publicly-available epigenetic …
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