ArticleNAR genomics and bioinformatics2025
HaploExplore, a software specifically designed for the detection of minor allele (MiA-) haploblocks.
Article in NAR genomics and bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Haplotype blocks in the genome are informative of evolutionary processes and they play a pivotal role in describing the genomic variability across human populations and susceptibility/resistance to diseases. Several software have been developed for haplotype block detection, but they do not distinguish between the impacts of major and minor single nucleotides polymorphism (SNP) alleles. In this study, we present a powerful haploblock detection software, specifically designed for identifying haploblocks associated with SNP minor allele haploblocks (MiA-haploblocks). These haploblocks are particularly important as they can significantly influence phenotypic traits, offering a novel approach for studying genetic associations and complex traits. HaploExplore operates on VCF files containing phased data, exhibiting rapid processing times, and generating user-friendly outputs. Results converge when analyzing populations of 100 individuals or more. A comparative analysis of HaploExplore against other haploblock detection software revealed its superiority in terms of either simplicity, flexibility, or speed, with the unique capability to target minor alleles. HaploExplore will be very useful for evolutionary genomics and for GWAS analysis in human diseases, given that the effects of genetic associations may accumulate within a specific haploblock.
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