ArticleFrontiers in bioinformatics2026
Development and validation of a pipeline for the systematic search for new HLA alleles in WGS data.
Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- HLA Alleles and Haplotype Distribution Across Russian Population Groups.International journal of molecular sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
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: In this article, we present a pipeline, HLAchecker, which is specifically designed to identify potentially new HLA alleles based on discrepancies between predicted HLA types, generated using any other dedicated tool, and the underlying raw 30x WGS data. HLAchecker reports results in a structured way that simplifies further validation of potentially new HLA alleles and streamlines the submission of alleles to appropriate databases. We validated this tool on 4,195 30x WGS samples and 6 HLA genes ( 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.