Briefings in BioinformaticsGeneticsPeer-reviewed journal article
SnapHiC-G: identifying long-range enhancer-promoter interactions from single-cell Hi-C data via a global background model
Weifang LiuiD, Wujuan ZhongiD, Paola Giusti‐RodrígueziD, Zhiyun Jiang, Geoffery W. Wang, Huaigu Sun, Ming HuiD, Yun LiiD
Abstract
Harnessing the power of single-cell genomics technologies, single-cell Hi-C (scHi-C) and its derived technologies provide powerful tools to measure spatial proximity between regulatory elements and their target genes in individual cells. Using a global background model, we propose SnapHiC-G, a computational method to identify long-range enhancer-promoter interactions from scHi-C data. We applied SnapHiC-G to scHi-C datasets generated from mouse embryonic stem cells and human brain cortical cells and demonstrated that SnapHiC-G achieved high sensitivity in identifying long-range enhancer-promoter interactions. Moreover, SnapHiC-G can identify putative target genes for non-coding GWAS variants, and the genetic heritability of neuropsychiatric diseases is enriched for single nucleotide polymorphisms (SNPs) within SnapHiC-G-identified interactions in a cell-type-specific manner. In sum, SnapHiC-G is a powerful tool for characterizing cell-type-specific enhancer-promoter interactions from complex tissues and can facilitate the discovery of chromatin interactions important for gene regulation in biologically relevant cell types.
- organism: mouse
- organism: human
- assay: Hi-C
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 3
- FWCI
- 0.41
- Field percentile
- top 47%
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