HaploExplore, a software specifically designed for the detection of minor allele (MiA-) haploblocks

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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Publication Details

Journal
NAR Genomics and Bioinformatics
Published
2025-10-07
DOI
https://doi.org/10.1093/nargab/lqaf186
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

HaploExplore, a software specifically designed for the detection of minor allele (MiA-) haploblocks

Maria Elisa Manetti, Sigrid Le Clerc, Myriam Rahmouni, Jean‐François Deleuze et al.
NAR Genomics and Bioinformatics
Genetic Associations and Epidemiology
article

HaploExplore, a software specifically designed for the detection of minor allele (MiA-) haploblocks

Maria Elisa Manetti, Sigrid Le Clerc, Myriam Rahmouni, Jean‐François Deleuze, Cristina Giuliani, Jean‐Louis Spadoni, Maxime Tison, Taoufik Labib, Jean-François Zagury, Samuel Hiet, Alice Dobiecki, Marco Lamanda
article en

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.

NAR Genomics and BioinformaticsVol. 7(4)
Conservatoire National des Arts et Métiers (FR), Fondation Jean Dausset-CEPH (FR), Génomique Bioinformatique et Applications (FR), University of Bologna (IT)
Ministère de l'Enseignement Supérieur et de la Recherche
Openalex Percentile: Top 58%
Genetic Associations and Epidemiology
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