GAMIBHEAR: whole-genome haplotype reconstruction from Genome Architecture Mapping data

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Genome Architecture Mapping (GAM) is a ligation-free method for detecting chromatin conformation, suitable for allele-specific analyses.
• Existing methods require known haplotypes, limiting applications in non-model organisms or individuals with unknown genetic makeup.
• There is a need for algorithms to reconstruct and phase genetic variants from GAM data for comprehensive allele-specific analyses.

Purpose of the Study:

• To develop and present GAMIBHEAR, a computational tool for accurate haplotype reconstruction from GAM data.
• To enable allele-specific chromatin conformation analysis by addressing the lack of haplotype phasing algorithms for GAM data.
• To facilitate the study of genetic variant effects on chromatin conformation in diverse biological contexts.

Main Methods:

• GAMIBHEAR aggregates allelic co-observation frequencies from GAM data.
• It employs a GAM-specific probabilistic model to optimize haplotype phasing accuracy.
• The tool was benchmarked using a hybrid mouse embryonic stem cell line with a known haplotype structure.

Main Results:

• GAMIBHEAR accurately reconstructs haplotypes from GAM data.
• The tool demonstrates high correctness and completeness in inferred genome-wide haplotypes.
• Successful application on a benchmark dataset validates its capability for allele-specific analyses.

Conclusions:

• GAMIBHEAR provides a robust solution for haplotype reconstruction from GAM data.
• The tool overcomes previous limitations, enabling allele-specific chromatin conformation studies.
• This advances the investigation of genetic variants' impact on genome architecture.