3DFAACTS-SNP: Using regulatory T cell-specific epigenomics data to uncover candidate mechanisms of Type-1 Diabetes (T1D) risk
Ning Liu, Timothy J. Sadlon, Ying Y. Wong, Stephen Pederson, James Breen, Simon Charles Barry
This paper introduces 3DFAACTS-SNP, a workflow that identifies T1D risk variants with regulatory mechanisms using Treg-specific epigenomic data, finding 36 candidate SNPs and 51 target genes.
bioRxiv · Sep 4, 2020 · PreprintBioinformatics