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.
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.
At a glance:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
| 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 | — | ✓ |
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 |
| 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 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) |
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.
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)
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.
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.
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).
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.
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.
Our PacBio Revio HiFi and ONT PromethION-based HLA typing services routinely achieve two-field (four-digit) resolution across all classical class I and class II loci. For most alleles, four-field (eight-digit) resolution is also attainable, distinguishing alleles that differ by as little as a single nonsynonymous substitution. The exact resolution depends on sequence coverage depth, target enrichment strategy (targeted versus WGS), and bioinformatics pipeline selection. Our standard deliverables include unambiguous allele calls with confidence metrics, and we recommend the Advanced Bioinformatics package for projects requiring four-field resolution across all loci.
Both platforms deliver high-resolution HLA typing, and the optimal choice depends on your specific research objectives. PacBio Revio HiFi sequencing is preferred when per-allele accuracy is the highest priority — for example, in high-accuracy research typing for transplantation matching or pharmacogenomic screening, where definitive allele-level calls are critical. ONT PromethION ultra-long sequencing is advantageous when contiguous phasing across multiple HLA loci or the full MHC region is needed, or when native RNA modification detection is of interest. For comprehensive studies requiring both accuracy and long-range contiguity, our dual-platform strategy combines the strengths of both systems. We will discuss your project requirements and recommend the most appropriate approach during project design.
DNA-based HLA typing (using genomic DNA as input) provides information about the HLA alleles present in an individual's genome, including non-expressed genes and pseudogenes. It is the standard approach for transplantation matching and germline pharmacogenomic screening. RNA-based HLA typing (using mRNA as input) reports only transcriptionally active alleles and additionally provides quantitative information about allele-specific expression levels. RNA-based typing can be advantageous for expression studies (e.g., HLA allele expression in autoimmune disease or after transplantation), but may miss alleles that are not expressed in the sampled tissue. CD Genomics supports both approaches; the choice depends on whether genomic allele content or transcriptional activity is the primary research question.
Yes. Unlike probe-based or amplicon-based short-read methods that rely on hybridization to known sequences, long-read sequencing captures the full gene sequence without preconceived bias toward known alleles. Our bioinformatics pipelines flag reads containing uncharacterized polymorphisms or novel exon combinations that do not match any existing IMGT/HLA database entry. With the Advanced Bioinformatics package, we perform de novo assembly of candidate novel alleles, verify variant calls against raw reads, and provide fully characterized sequence data suitable for submission to the IPD-IMGT/HLA database.
For DNA-based typing, we recommend a minimum of 250 ng of high-molecular-weight genomic DNA per sample for targeted HLA enrichment, or 3–5 μg for the whole-genome shotgun approach. For RNA-based typing, 25–100 ng of total RNA (RIN ≥8) is sufficient. Our standard turnaround time for targeted HLA typing projects (up to 96 samples) is approximately 3–4 weeks from sample receipt to final bioinformatics report, depending on platform availability and project complexity. Expedited timelines can be arranged for time-sensitive projects — please discuss your schedule requirements with our project management team during project initiation.
Yes. The full-length gene sequences generated by PacBio Revio and ONT PromethION sequencing span the complete coding region of each HLA gene, including the hypervariable regions that distinguish closely related alleles. Unlike short-read methods that may struggle to uniquely map reads to highly homologous regions, long reads provide sufficient sequence context to unambiguously assign reads to the correct locus. Our bioinformatics pipelines include locus-specific alignment strategies that explicitly handle the high sequence homology between class II genes such as DRB1 and DRB3/4/5.
We deploy multiple complementary tools including 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. Results from each pipeline are cross-validated to produce a consensus genotype report. This multi-engine approach minimizes allele-dropout and mistyping rates compared to single-pipeline workflows. For the Advanced Bioinformatics package, we additionally perform de novo assembly of candidate novel alleles and provide full traceability from raw reads to final allele calls.
PCR-SSP (sequence-specific primers) and Sanger sequencing-based HLA typing are established low- to intermediate-resolution methods that are cost-effective for small sample numbers or targeted allele confirmation. However, these methods require locus-specific primers for each gene of interest, cannot resolve cis-trans phase ambiguities, and may fail to detect novel or unexpected alleles. Long-read sequencing provides significantly higher throughput (up to 96 samples per run), full-length gene coverage across all classical loci simultaneously, unambiguous phasing, and the ability to discover novel alleles — all at a per-sample cost that is competitive for cohort-scale studies. For projects requiring definitive allele-level resolution across multiple loci, long-read sequencing is the more comprehensive approach.
Yes. Full-length HLA allele sequences generated by long-read sequencing are well-suited for population genetics and evolutionary analyses, including allele frequency estimation, heterozygosity assessment, haplotype network construction, and selection detection. Long-read data provides the phasing resolution needed for accurate haplotype inference that is essential for population-level analyses. For such studies, we recommend using the whole-genome shotgun approach to minimize amplification bias, and the Advanced Bioinformatics package to obtain fully phased allele assignments across all classical HLA loci. Please discuss your population genetics study design with our team to ensure the sequencing strategy aligns with your analytical requirements.
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
References
For Research Use Only. Not for use in diagnostic procedures.