Restriction enzyme selection dictates detection range sensitivity in chromatin conformation capture-based variant-to-gene mapping approaches

Promoter-focused chromatin conformation techniques directly detect interactions between gene promoters and distal genomic sequences, providing structural information relevant to gene regulation without the excessive non-genic architectural data generated by full scale Hi-C. 3D promoter "interactome" maps are crucial for understanding how epigenomic features like histone modifications and open chromatin, or genetic variants identified in genome wide association studies (GWAS), contribute to biological function. However, variation in sensitivity between such promoter-focused methods, principally due to restriction enzyme selection, has not been systematically assessed. Here, we performed a head-to-head comparison between promoter capture C (PCC) and promoter capture Hi-C (PCHiC) with the respective 4 cutters DpnII and MboI versus 6 cutter HindIII datasets from the same five cell types. While PCHiC generally produces a higher signal to noise ratio for significant interactions in comparison to PCC, we show that DpnII/MboI detects more proximal interactions and shows little overlap with the HindIII detection range. Promoter-interacting genomic regions mapped by 4-cutters are more enriched for regulatory features and disease-associated genetic variation than 6-cutters maps, suggesting that high-resolution maps better capture gene regulatory architectures than do lower resolution approaches.