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.
Authors
- Andrei A. Deviatkin (ORCID: https://orcid.org/0000-0003-0789-4601)
- Olga Mityaeva (ORCID: https://orcid.org/0000-0001-9252-1601)
- Viktor P. Bogdanov (ORCID: https://orcid.org/0000-0001-6377-9056)
- Mary Woroncow (ORCID: https://orcid.org/0009-0004-8004-064X)
- Eugene Albert
- P. Yu. Volchkov
- Daria Smirnova
- Gauhar Zobkova
- Anna Smirnova
Institutions
- Lomonosov Moscow State University (RU)
- Moscow State University (TJ)
- Medical Technologies (Czechia) (CZ)
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
Funders
- Ministry of Science and Higher Education of the Russian Federation