Motif-based model of transcription predicts effects of sequence variants in AR enhancers and reveals distinct functions for AR-associated transcription factors
Hoda Taeb, Amin Safaeesirat, Emirhan Tekoglu, Kevin Xiao, Chia-Chi Flora Huang, Nathan A. Lack, Eldon G. Emberly
The paper develops a motif-based model to predict sequence variant effects in AR enhancers and identifies functional classes of transcription factors, validated against mutagenesis data and GWAS risk alleles.
bioRxiv · Sep 7, 2026 · PreprintGenomics