HiNT: a computational method for detecting copy number variations and translocations from Hi-C data

Genome Biol. 2020 Mar 23;21(1):73. doi: 10.1186/s13059-020-01986-5.

Abstract

The three-dimensional conformation of a genome can be profiled using Hi-C, a technique that combines chromatin conformation capture with high-throughput sequencing. However, structural variations often yield features that can be mistaken for chromosomal interactions. Here, we describe a computational method HiNT (Hi-C for copy Number variation and Translocation detection), which detects copy number variations and interchromosomal translocations within Hi-C data with breakpoints at single base-pair resolution. We demonstrate that HiNT outperforms existing methods on both simulated and real data. We also show that Hi-C can supplement whole-genome sequencing in structure variant detection by locating breakpoints in repetitive regions.

Keywords: Chromosomal interactions; Repetitive region; Structural variation; Whole-genome sequencing.

Publication types

  • Evaluation Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Chromosome Breakpoints
  • DNA Copy Number Variations*
  • Genomics / methods*
  • High-Throughput Nucleotide Sequencing
  • Repetitive Sequences, Nucleic Acid
  • Sequence Analysis, DNA
  • Translocation, Genetic*
  • Whole Genome Sequencing