haploMAGIC

haploMAGIC detects crossovers in multiparental populations using SNP data, exploiting pedigree relationships for accurate genotype phasing and inference of grandparental haplotypes.

Key Features:

• Error filtering: It applies filtering to prevent false-positive crossovers due to genotyping errors by discarding haploblocks not reaching a specified minimum number of informative alleles.
• Genotype phasing: It leverages pedigree relationships for accurate genotype phasing and inference of grandparental haplotypes.
• Recombination map construction: It enables construction of recombination maps from phased genotype data.

Scientific Applications:

• Crossover detection: It detects genome-wide crossovers in multiparental populations using single-nucleotide polymorphism data.
• Recombination frequency estimation: It estimates recombination frequencies and constructs recombination maps.
• Complex plant genome analysis: It improves accuracy in high-throughput SNP analysis of complex plant genomes such as winter rapeseed (Brassica napus).

Methodology:

haploMAGIC exploits pedigree relationships for genotype phasing and grandparental haplotype inference, then applies filtering to discard haploblocks not reaching a specified minimum number of informative alleles to prevent false-positive crossovers from genotyping errors. Performance was validated using populations simulated with AlphaSimR.