High-Resolution HLA Typing by Long-Read Sequencing — Unambiguous Full-Length Allele Resolution for Transplantation & Pharmacogenomics Research

High-Resolution HLA Typing by Long-Read Sequencing — Unambiguous Full-Length Allele Resolution for Transplantation & Pharmacogenomics Research

CD Genomics provides unambiguous, full-length HLA allele resolution using PacBio Revio HiFi (>Q30) and ONT PromethION long-read sequencing. Unlike NGS short-read methods that rely on computational phasing of 150–300 bp fragments, our long-read platform spans complete 3–12 kb HLA genes in single reads, delivering definitive two-field and four-field allele typing for transplantation immunology, pharmacogenomics, and immuno-oncology research.

High-Resolution HLA Typing by Long-Read Sequencing

Human leukocyte antigen (HLA) genes constitute the most polymorphic region in the human genome, with over 38,000 known alleles documented in the IPD-IMGT/HLA database. Achieving unambiguous, allele-level HLA typing requires sequencing technology capable of resolving highly homologous, haplotype-phased, full-length gene sequences across the 4 Mb MHC region on chromosome 6p21.3. While most mainstream HLA typing services rely on next-generation sequencing (NGS) short reads (150–300 bp) that cannot span complete HLA genes — resulting in ambiguous phasing, unresolved cis-trans polymorphisms, and allele code reporting — CD Genomics takes a fundamentally different approach. We specialize exclusively in long-read sequencing-based HLA typing, leveraging PacBio Revio with HiFi read accuracy exceeding Q30 and Oxford Nanopore PromethION with ultra-long read lengths exceeding 100 kb to deliver unambiguous, full-gene phased allele resolution that NGS cannot achieve. This is not an add-on service — long-read sequencing is our core technology platform, purpose-built for applications where resolution beyond NGS capability is required.

Our service combines targeted or whole-genome long-read sequencing with dedicated bioinformatics workflows (HLAminer, ArcasHLA, or custom pipelines) to deliver unambiguous typing at two-field (four-digit) and four-field (eight-digit) resolution across all classical HLA class I (HLA-A, -B, -C) and class II (HLA-DR, -DQ, -DP) loci, as well as non-classical loci including HLA-E, -F, and -G. Every allele call is directly observed from reads spanning complete HLA gene sequences — not computationally inferred from short fragments as in NGS-based approaches.

Why Long-Read Sequencing for HLA Typing — Service Highlights

Long-Read Sequencing Resolves HLA Alleles That Short-Read NGS Cannot Phase Unambiguously

The HLA region exhibits extreme polymorphism, with individual loci such as HLA-B harboring over 7,500 known alleles. This diversity underpins essential immune functions — antigen presentation, T-cell repertoire selection, and natural killer cell regulation — while simultaneously representing the primary genetic barrier to organ and hematopoietic stem cell transplantation (HSCT).

The NGS limitation that most HLA services share: Short-read next-generation sequencing (NGS) platforms, despite being the current mainstream methodology for HLA typing, produce reads of only 150–300 bp — far too short to span a full-length HLA gene (3–12 kb). This fundamental read-length constraint forces NGS-based HLA typing to rely on computational phasing and statistical inference to reconstruct alleles from fragmented data, resulting in ambiguous phasing, unresolved cis-trans polymorphisms, and reporting of allele codes (P-group or G-group) rather than definitive allele assignments. For applications where single-nucleotide resolution determines transplant compatibility or drug safety, these ambiguities are not merely inconvenient — they carry real consequences for research interpretation.

Why we choose long-read instead: Long-read sequencing overcomes these limitations at the source — by generating contiguous reads that span entire HLA genes in a single pass, eliminating the need for computational inference. The PacBio Revio platform produces HiFi reads of 15–25 kb with accuracy exceeding Q30 (>99.9%), enabling direct observation of phased haplotypes without statistical imputation. The ONT PromethION platform extends contiguity further, generating reads exceeding 100 kb that can span multiple HLA loci simultaneously, preserving long-range haplotype structure across the MHC region that no NGS platform can resolve. Studies have demonstrated that long-read HLA typing achieves four-field resolution accuracy exceeding 99% for class I and class II loci when benchmarked against reference materials.

Applications of HLA Typing in Research and Medicine

Transplantation Immunology

  • HSCT donor-recipient matching: Allele-level HLA-A, -B, -C, -DRB1, and -DQB1 typing for hematopoietic stem cell transplantation, where 10/10 or 12/12 allele matching correlates with reduced graft-versus-host disease and improved survival. See our transplantation research service for additional details
  • Solid organ allocation: High-resolution typing for kidney, heart, lung, and liver transplant programs to improve research model matching accuracy in transplant studies

Pharmacogenomics and Drug Safety

  • HLA-associated adverse drug reactions: Screening for HLA-B*57:01 (abacavir hypersensitivity), HLA-B*15:02 (carbamazepine-induced Stevens-Johnson syndrome), and HLA-A*31:01 (allopurinol severe cutaneous reactions) to inform prescribing decisions
  • Immunotherapy biomarker discovery: Correlating HLA germline variation with checkpoint inhibitor response and immune-related adverse events in oncology. Our pharmacogenomics research service integrates HLA typing for drug safety and response studies

Autoimmune and Infectious Disease Research

  • Disease association studies: High-resolution HLA genotyping for cohort studies investigating HLA-linked autoimmune conditions including type 1 diabetes, rheumatoid arthritis, ankylosing spondylitis, celiac disease, and multiple sclerosis
  • Infectious disease immunogenetics: Exploring HLA associations with HIV control, tuberculosis susceptibility, and COVID-19 outcome variability

Immuno-Oncology and Cellular Therapy

  • Neoantigen prediction: Accurate HLA typing provides the essential foundation for in silico neoantigen prediction pipelines guiding personalized cancer vaccine design and adoptive T-cell therapy. See our cancer research service for long-read applications in oncology
  • HLA loss analysis: Detection of acquired HLA copy-number alterations or loss-of-heterozygosity in tumor genomes as immune evasion mechanisms. Our structural variation detection service supports genome-wide characterization of such events

Our Long-Read Platform Delivers Unambiguous Full-Gene Phasing at Four-Field Resolution

Scientific Advantages

  • Unambiguous full-gene phasing

HiFi reads spanning 15–25 kb and ultra-long nanopore reads exceeding 100 kb capture complete HLA gene sequences in single reads, eliminating the cis-trans ambiguity inherent to short-read approaches. Every allele call is directly observed, not computationally inferred.

  • Four-field resolution across all classical loci

Our validated bioinformatics pipelines confidently resolve alleles to four-field (eight-digit) resolution, distinguishing alleles that differ by as little as a single nonsynonymous nucleotide across all 12 classical HLA genes.

  • Novel allele discovery capability

Reads spanning the complete HLA transcript or gene region enable detection of previously uncharacterized alleles, null alleles, and rare variants that would be missed by probe-based or amplicon-based short-read methods.

Business & Project Advantages

  • Platform-matched project design

We match project requirements to the optimal platform: PacBio Revio for high-accuracy allele resolution in cohort studies, ONT PromethION for ultra-long contiguity and native RNA modification detection in exploratory research, or both for comprehensive MHC characterization.

  • Scalable throughput for studies of any size

A single Revio SMRT Cell 8M can process up to 96 barcoded HLA-targeted libraries in a 24-hour run. PromethION flow cells deliver comparable throughput with the added flexibility of real-time data streaming for rapid allele assessment.

  • Expert bioinformatics support

Our computational team deploys, validates, and customizes HLA typing workflows including HLAminer, ArcasHLA, SpecHLA, and HLA*LA, with full traceability from raw reads to final allele reports.

Technology Overview — How Long-Read Sequencing Resolves HLA Alleles

1. Sample Preparation and Target Enrichment

Genomic DNA (≥250 ng) is extracted from whole blood, PBMCs, or tissue. For targeted approaches, long-range PCR amplifies full-length HLA class I (approximately 3.5 kb per gene) and class II (approximately 5–12 kb per gene) loci in multiplexed reactions using locus-specific primers covering all 12 classical HLA genes. Alternatively, whole-genome shotgun libraries are prepared for comprehensive MHC analysis without amplification bias. For RNA-based typing, mRNA is reverse-transcribed into full-length cDNA using template-switching oligos, followed by HLA-specific enrichment.

2. Library Construction and Barcoding

Amplified HLA targets or WGS fragments are end-repaired, A-tailed, and ligated to platform-specific adapters. Individual samples are barcoded during library preparation using native barcodes (ONT) or symmetric barcodes (PacBio), enabling multiplexed sequencing of up to 96 samples per flow cell. Libraries are size-selected using AMPure PB beads (PacBio) or AMPure XP beads (ONT) to remove fragments shorter than 2 kb.

Long-read HLA typing workflow: sample preparation, library construction, sequencing on PacBio Revio or ONT PromethION, and bioinformatics analysis Figure 1. End-to-end HLA typing workflow using PacBio Revio HiFi or ONT PromethION long-read sequencing. Barcoded libraries are multiplexed, sequenced, and processed through dedicated HLA bioinformatics pipelines to deliver unambiguous allele assignments.

3. Sequencing on PacBio Revio or ONT PromethION

PacBio Revio platform: Each SMRT Cell 8M generates approximately 100 Gb of HiFi data (Q30+) in a 24-hour run. For targeted HLA applications, a single SMRT Cell yields sufficient coverage depth (>1,000× per allele) for 48–96 barcoded samples simultaneously. The Revio system uses the latest SMRTbell prep kit 3.0 and sequencing chemistry v4 to achieve read lengths of 15–25 kb with consensus accuracy exceeding 99.9%.

ONT PromethION platform: Each PromethION flow cell (R10.4.1) generates 100–290 Gb of data with read N50 exceeding 20 kb and maximum read lengths exceeding 200 kb. For HLA typing, the PromethION's ultra-long reads can span multiple adjacent HLA loci in a single read, preserving long-range phase information. Real-time basecalling on the PromethION compute module (P48) enables immediate data quality assessment during the 72-hour sequencing run.

4. HLA Allele Assignment and Reporting

Raw sequencing data are basecalled (PacBio: SMRT Link; ONT: Dorado), demultiplexed, and processed through validated HLA typing pipelines. We deploy multiple complementary tools — HLAminer for reference-based alignment against the IPD-IMGT/HLA database, ArcasHLA for graph-based genotyping, and SpecHLA or HLA*LA for full-gene allele resolution — and cross-validate results to produce a consensus genotype report at two-field and four-field resolution.

Bioinformatics Analysis

Analysis Feature Basic Package Advanced Package
Read preprocessing (basecalling, demultiplexing, QC filtering)
HLA allele assignment at two-field (four-digit) resolution
HLA allele assignment at four-field (eight-digit) resolution
Haplotype phasing across the full MHC region
Novel allele and null allele detection
HLA expression quantification (RNA-based typing)
HLA loss-of-heterozygosity analysis (tumor samples)
Custom reporting and data visualization

Choosing the Right Platform for HLA Typing

Both PacBio Revio and ONT PromethION deliver high-resolution HLA typing, but each platform offers distinct advantages depending on your research goals. The table below compares key performance characteristics to guide platform selection for your project.

Feature PacBio Revio ONT PromethION Dual-Platform Strategy
Read length (typical) 15–25 kb (HiFi) 20–100+ kb (ultra-long) 15–100+ kb combined
Per-read accuracy >Q30 (>99.9%) consensus >Q20 (>99%) simplex; >Q30 (duplex) High-accuracy + ultra-long combined
Throughput per run ~100 Gb (SMRT Cell 8M) 100–290 Gb (flow cell) 200–390 Gb
HLA phasing Single-gene phasing Multi-locus contiguous phasing Comprehensive MHC phasing
Best suited for High-accuracy allele resolution, cohort-scale studies, high-accuracy typing for research Ultra-long contiguity, novel structural variant discovery, native modification detection Complete MHC characterization requiring both accuracy and contiguity
Multiplexing capacity Up to 96 samples/SMRT Cell Up to 96 samples/flow cell Scalable across platforms

Sample Requirements for HLA Typing

Category Requirement Notes
Sample type Whole blood (EDTA or heparin), PBMCs, genomic DNA, tissue biopsies, cell pellets Fresh or properly archived (−80°C) samples preferred
Minimum input (gDNA) 250 ng–1 μg (targeted approach); 3–5 μg (WGS approach) Quantified by Qubit fluorometer; OD260/280 1.8–2.0
Minimum input (RNA) 25–100 ng (RNA-based HLA typing) RIN ≥8 recommended for full-length cDNA synthesis
DNA quality High molecular weight (≥20 kb fragment size); no visible degradation Assessed by agarose gel electrophoresis or TapeStation
Shipping conditions Dry ice (frozen samples) or ice packs (DNA) Stabilization buffer available upon request for challenging shipments

QC Standards and Data Interpretation Boundaries for HLA Typing

Quality Control Metrics

QC Parameter Minimum Requirement Recommended Target
Coverage depth per allele 30× 100× (targeted) / 20× (WGS)
Read quality score (PacBio HiFi) Q20 Q30
Read quality score (ONT) Q10 Q20 (simplex) / Q30 (duplex)
Mapping rate to HLA reference 80% >95% (targeted) / >90% (WGS)
Allele call confidence >90% >99% (two-field) / >95% (four-field)

Interpretation Boundaries

  • HLA typing results are for research use only. Allele assignments are based on alignment against the IPD-IMGT/HLA database and may be affected by database version, sequencing errors, or reference bias. All allele calls should be validated by orthogonal methods before use in clinical decision-making
  • Novel allele candidates require independent confirmation. Putative novel alleles identified by long-read sequencing should be confirmed by Sanger sequencing of the relevant exons or full gene before database submission
  • Expression data from RNA-based typing reflects transcriptional activity at the time of sampling. HLA expression levels may vary across tissues, with disease state, or under pharmacological treatment. Results should not be interpreted as constitutive or genome-wide expression profiles
  • Coverage depth requirements vary by application. Novel allele discovery, low-frequency variant detection, and loss-of-heterozygosity analysis may require deeper sequencing coverage than standard allele typing

CD Genomics Provides Purpose-Built Long-Read HLA Typing with Independent Platform Recommendations

Long-read is our specialty, not a side service

CD Genomics is a long-read sequencing-focused service provider. Unlike general genomics companies that offer long-read HLA typing as a secondary option beside their core NGS business, our entire HLA typing workflow — from library construction to bioinformatics — is purpose-built for long-read platforms. We do not default to short reads, and we do not force your project into a hybrid NGS+long-read workflow that defeats the purpose of choosing long reads in the first place. When you choose us, you are choosing a partner whose core technology matches the resolution your research requires.

Dual-platform independence — matched to your study's requirements

We operate both PacBio Revio and ONT PromethION platforms in-house, allowing us to recommend and execute the optimal strategy for each project. For studies requiring maximum per-allele accuracy at scale, Revio HiFi sequencing delivers definitive results. For projects demanding ultra-long contiguity across the full MHC or native base modification detection, the PromethION platform provides complementary capabilities.

Validated bioinformatics with multi-tool cross-validation

HLA typing accuracy depends critically on bioinformatics. We deploy four independently validated pipelines (HLAminer, ArcasHLA, SpecHLA/HLA*LA, and custom IMGT/HLA reference-based approaches), cross-validate allele calls, and report only consensus assignments with confidence metrics. This multi-engine approach minimizes allele-dropout and mistyping rates compared to single-pipeline workflows.

End-to-end project support from design to deliverable

Our project scientists guide experimental design — target enrichment strategy, platform selection, multiplexing scheme, and coverage requirements — through sample QC, sequencing, bioinformatics processing, and final reporting. Each project delivers a comprehensive HLA typing report with read-level allele support evidence, phased haplotype assignments, and full traceability to the IPD-IMGT/HLA database release used for analysis.

RUO-compliant with published validation

Our service is validated for research use only. We have supported multiple peer-reviewed publications using long-read HLA typing for transplantation, pharmacogenomics, and population genetics studies.

Case Study: Targeted RNA-Based ONT Sequencing for High-Resolution Typing of 12 Classical HLA Genes

Johansson T, Koskela S, Yohannes DA, Partanen J, Saavalainen P. Targeted RNA-Based Oxford Nanopore Sequencing for Typing 12 Classical HLA Genes. Frontiers in Genetics. 2021;12:635601. (CC BY 4.0)

1. Background

HLA typing by short-read NGS faces persistent challenges due to the high polymorphism, mosaic structure, and long-range phase relationships across class I and class II genes. Johansson and colleagues developed a targeted RNA-based HLA typing method leveraging Oxford Nanopore single-molecule sequencing to evaluate whether full-length transcript sequencing could overcome these limitations and deliver unambiguous typing of all 12 classical HLA genes simultaneously.

2. Methods

Peripheral blood mononuclear cells from 50 healthy blood donors were used as the sample source. mRNA was reverse-transcribed into full-length cDNA using a template-switching oligo approach incorporating 10 bp molecular barcode. Twelve classical HLA genes (HLA-A, -B, -C, -DRA, -DRB1, -DRB3/4/5, -DQA1, -DQB1, -DPA1, -DPB1) were enriched by multiplexed PCR using locus-specific primers, divided into two gene pools, barcoded with ONT PCR barcoding kit, and sequenced on 10 MinION R9.4 SpotON flow cells on a MinION Mk 1b device. Basecalling was performed on the cloud-based Metrichor platform. HLA alleles were assigned using SeqPilot software (JSI Medical Systems) against the IPD-IMGT/HLA Database (release 3.27.0) and validated against Luminex SSO-PCR reference typing.

3. Results

Johansson et al. 2021 ONT RNA-based HLA typing results Figure 2. HLA typing accuracy across 50 individuals by ONT RNA sequencing. (A) Allele calling rate at two-field resolution for class I versus class II loci. (B) Gene-level allele calling rates for all 12 classical HLA genes. Adapted from Johansson et al. (2021, Frontiers in Genetics, CC BY 4.0).

Key Findings

4. Significance

This study established that ONT RNA sequencing — performed on the MinION platform, the precursor to today's PromethION systems — can produce accurate high-resolution HLA typing across all 12 classical loci from a single experimental workflow. The method simultaneously provides full-length transcript sequences, enabling both genotyping and expression-level analysis from the same dataset. These findings directly support the application of contemporary ONT PromethION sequencing for high-resolution HLA typing at research scale, with substantially higher throughput and longer read capabilities than the MinION platform used in this foundational study.

When to Choose Long-Read HLA Typing — and When Alternative Methods May Suffice

Choose long-read HLA typing when:

Alternative methods may be sufficient when:

CD Genomics provides free project consultation to help determine whether long-read HLA typing is the right approach for your specific research question. Contact our scientists to discuss your project requirements.

FAQs

Sample Deliverables

1. Allele assignment report at two-field and four-field resolution for all 12 classical HLA genes

2. Phased haplotype assignments across the MHC region with read-level supporting evidence

3. Sequencing quality metrics including per-sample coverage depth, read length distribution, and error profile across HLA loci

4. Optional: novel allele discovery report with de novo consensus sequences for candidate novel alleles

5. Optional: allele-specific expression quantification for RNA-based typing projects

Sample HLA typing report showing allele assignments, coverage metrics, and phased haplotypes

References

  1. Targeted RNA-Based Oxford Nanopore Sequencing for Typing 12 Classical HLA Genes. Johansson T, Koskela S, Yohannes DA, Partanen J, Saavalainen P. Frontiers in Genetics. 2021;12:635601.
  2. Accurate Typing of Human Leukocyte Antigen Class I Genes by Oxford Nanopore Sequencing. Liu C, Xiao F, Hoisington-Lopez J, Lang K, Quenzel P, Duffy B, Mitra RD. The Journal of Molecular Diagnostics. 2018;20(4):428–435.

For Research Use Only. Not for use in diagnostic procedures.

Get Your Instant Quote