Validation Data for HLA Allele Discovery Pipeline from 4,195 WGS Samples

2026 work by Eugene Albert presents validation data for HLAchecker, a bioinformatics pipeline for discovering new Human Leukocyte Antigen alleles. The dataset supports findings from 4,195 whole-genome sequencing samples across six HLA genes, identifying 17 potentially novel alleles.

Use Cases

• Benchmark new HLA typing algorithms against the reported 17 novel allele candidates from genes A, B, C, DQA1, DQB1, and DRB1.
• Validate allele discovery pipelines using the structured discrepancy reports between predicted HLA types and raw 30x WGS data.
• Study genetic polymorphism patterns in the HLA locus across the 4,195 sample cohort.
• Train models to predict novel allele likelihood from features like sequencing depth and exonic substitution patterns.

Strengths

• Validation on 4,195 whole-genome sequencing samples provides a substantial test cohort.
• Focus on six specific HLA genes (A, B, C, DQA1, DQB1, DRB1) for targeted analysis.
• Five of the 17 discovered alleles were Sanger-sequenced and submitted to the IPD-IMGT/HLA database.

Limitations

• The 4.0 MB size indicates the dataset contains summary or processed results, not the raw 30x WGS data, limiting re-analysis scope.
• Sample provenance and demographic details are not provided, which may limit population genetics studies.
• The dataset is tied to a specific pipeline (HLAchecker), which may affect interoperability with other tools.

Provenance

Source

figshare, authored by Eugene Albert.

Collection Method

Data generated by validating the HLAchecker pipeline on 4,195 30x whole-genome sequencing samples typed by HLA-HD.

Time Range

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Freshness

Last updated in April 2026.

Geography

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