Development and validation of a pipeline for the systematic search for new HLA alleles in WGS data

Background: Human leukocyte antigen (HLA) is a highly polymorphic locus in the human genome that also has high clinical significance. New alleles of HLA genes are constantly being discovered but mostly by HLA typing laboratories using field-specific protocols, such as enrichment of the HLA region in high-throughput sequencing data. Nevertheless, a vast amount of whole-genome sequencing (WGS) data has been accumulated over the past years. The main goal of our work was to develop and validate a pipeline specifically tailored toward the identification and characterization of new HLA alleles from 30x WGS sequencing. Results: ) typed by HLA-HD and discovered 17 potentially new HLA alleles with substitutions in exonic regions. We further validated five of these alleles using Sanger sequencing and submitted them to the IPD-IMGT/HLA database. Conclusion: HLAchecker is suitable for the identification of new HLA alleles in large WGS cohorts accumulated by the scientific community in recent years. HLAchecker is freely available at https://gitlab.com/EugeneA/hlachecker.

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Publication Details

Journal
Frontiers in Bioinformatics
Published
2026-04-07
DOI
https://doi.org/10.3389/fbinf.2026.1751616
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00

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Development and validation of a pipeline for the systematic search for new HLA alleles in WGS data

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vaccines and immunoinformatics approaches
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Development and validation of a pipeline for the systematic search for new HLA alleles in WGS data

Andrei A. Deviatkin, Olga Mityaeva, Viktor P. Bogdanov, Mary Woroncow, Eugene Albert, P. Yu. Volchkov, Daria Smirnova, Gauhar Zobkova, Anna Smirnova
article en

Abstract

Background: Human leukocyte antigen (HLA) is a highly polymorphic locus in the human genome that also has high clinical significance. New alleles of HLA genes are constantly being discovered but mostly by HLA typing laboratories using field-specific protocols, such as enrichment of the HLA region in high-throughput sequencing data. Nevertheless, a vast amount of whole-genome sequencing (WGS) data has been accumulated over the past years. The main goal of our work was to develop and validate a pipeline specifically tailored toward the identification and characterization of new HLA alleles from 30x WGS sequencing. Results: ) typed by HLA-HD and discovered 17 potentially new HLA alleles with substitutions in exonic regions. We further validated five of these alleles using Sanger sequencing and submitted them to the IPD-IMGT/HLA database. Conclusion: HLAchecker is suitable for the identification of new HLA alleles in large WGS cohorts accumulated by the scientific community in recent years. HLAchecker is freely available at https://gitlab.com/EugeneA/hlachecker.

Frontiers in BioinformaticsVol. 6
Lomonosov Moscow State University (RU), Moscow State University (TJ), Medical Technologies (Czechia) (CZ)
Ministry of Science and Higher Education of the Russian Federation
Openalex Percentile: Top 29%
vaccines and immunoinformatics approaches
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