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Easy-HLA, a validated web application suite to reveal the full details of HLA typing

Abstract : MOTIVATION: The HLA system plays a pivotal role in both clinical applications and immunology research. Typing HLA genes in patient and donor is indeed required in hematopoietic stem cell and solid organ transplantation, and the MHC region exhibits countless genetic associations with immune-related pathologies. Since the discovery of HLA antigens, the HLA system nomenclature and typing methods have constantly evolved, which leads to difficulties in using data generated with older methodologies. RESULTS: Here, we present Easy-HLA, a web-based software suite designed to facilitate analysis and gain knowledge from HLA typing, regardless of nomenclature or typing method. Easy-HLA implements a computational and statistical method of HLA haplotypes inference based on published reference populations containing over 600,000 haplotypes to upgrade missing or partial HLA information: "HLA-Upgrade" tool infers high-resolution HLA typing, and "HLA-2-Haplo" imputes haplotype pairs and provides additional functional annotations (e.g. amino-acids and KIR ligands). We validated both tools using two independent cohorts (total n = 2,500). For HLA-Upgrade, we reached a prediction accuracy of 92% from low to high-resolution of European genotypes. We observed a 96% call rate and 76% accuracy with HLA-2-Haplo European haplotype pairs prediction. In conclusion, Easy-HLA tools facilitate large-scale immunogenetic analysis and promotes the multi-faceted HLA expertise beyond allelic associations by providing new functional immunogenomics parameters. AVAILABILITY: Easy-HLA is a web application freely available (free account) at: SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Submitted on : Monday, December 16, 2019 - 6:57:59 PM
Last modification on : Wednesday, April 27, 2022 - 4:02:10 AM
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Estelle Geffard, Sophie Limou, Alexandre Walencik, Michelle Daya, Harold Watson, et al.. Easy-HLA, a validated web application suite to reveal the full details of HLA typing. Bioinformatics, Oxford University Press (OUP), 2019, pp.btz875. ⟨10.1093/bioinformatics/btz875⟩. ⟨inserm-02414924⟩



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