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BioinformaticsbioRxiv
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Genome-wide maps of transcription factor footprints identify noncoding variants rewiring gene regulatory networks

Jiecong LiniD, Wenyang Dong, Jiaxiang ZhangiD, Chen Xie, Xiaoxi JingiD, Junpeng Zhao, Kaiyan Ma, Hongen KangiD, Yilin Jiang, Xiao XieiD, Yajie ZhaoiD

Abstract

Genome-wide association studies have identified millions of noncoding loci linked to human traits, yet how these variants alter gene regulation remains a major challenge, particularly for rare variants where whole-genome sequencing cohorts and high-resolution functional annotations remain limited. Here we show that single-molecule deaminase footprinting (FOODIE) in K562 cells captures up to 103-fold heritability enrichment for erythroid traits despite covering 0.12% of the genome. We introduce varTFBridge, integrating FOODIE footprinting with AlphaGenome variant effect prediction to identify causal noncoding variants altering transcription factor (TF)-mediated regulation. Applied to 490,640 UK Biobank genomes across 13 erythrocyte traits, varTFBridge prioritises 113 high-confidence regulatory variants (104 common, 9 rare), encompassing 2,173 linkages along the variant-TF binding- gene-trait cascade across 64 TFs and 108 genes. varTFBridge recapitulates rs112233623 and resolves its mechanism: GATA1/TAL1 co-binding disruption at a CCND3 enhancer altering red blood cell count and volume.

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