Kate Mackiewicz

Next-generation sequencing: the solution for high-resolution, unambiguous human leukocyte antigen typing

Human leukocyte antigen (HLA) typing has been a challenge for more than 50 years. Current methods (Sanger sequencing, sequence-specific primers [SSP], sequence-specific oligonucleotide probes [SSOP]) continue to generate ambiguities that are time-consuming and expensive to resolve. However, next-generation sequencing (NGS) overcomes ambiguity through the combination of clonal amplification, which provides on-phase sequence and a high level of parallelism, whereby millions of sequencing reads are produced enabling an expansion of the HLA regions sequenced. We explored HLA typing using NGS through a three-step process. First, HLA-A, -B, -C, -DRB1, and -DQB1 were amplified with long-range PCR. Subsequently, amplicons were sequenced using the 454 GS-FLX platform. Finally, sequencing data were analyzed with Assign-NG software. In a single experiment, four individual samples and two mixtures were sequenced producing >75 Mb of sequence from >300,000 individual sequence reads (average length, 244 b). The reads were aligned and covered 100% of the regions amplified. Allele assignment was 100% concordant with the known HLA alleles of our samples. Our results suggest this method can be a useful tool for complete genomic characterization of new HLA alleles and for completion of sequence for existing, partially sequenced alleles. NGS can provide complete, unambiguous, high-resolution HLA typing; however, further evaluation is needed to explore the feasibility of its routine use.

Determining performance characteristics of an NGS-based HLA typing method for clinical applications

This study presents performance specifications of an in‐house developed human leukocyte antigen (HLA) typing assay using next‐generation sequencing (NGS) on the Illumina MiSeq platform. A total of 253 samples, previously characterized for HLA‐A, ‐B, ‐C, ‐DRB1 and ‐DQB1 were included in this study, which were typed at high‐resolution using a combination of Sanger sequencing, sequence‐specific primer (SSP) and sequence‐specific oligonucleotide probe (SSOP) technologies and recorded at the two‐field level. Samples were selected with alleles that cover a high percentage of HLA specificities in each of five different race/ethnic groups: European, African‐American, Asian Pacific Islander, Hispanic and Native American. Sequencing data were analyzed by two software programs, Omixons target and GenDxs NGSengine. A number of metrics including allele balance, sensitivity, specificity, precision, accuracy and remaining ambiguity were assessed. Data analyzed by the two software systems are shown independently. The majority of alleles were identical in the exonic sequences (third field) with both programs for HLA‐A, ‐B, ‐C and ‐DQB1 in 97.7% of allele determinations. Among the remaining discrepant genotype calls at least one of the analysis programs agreed with the reference typing. Upon additional manual analysis 100% of the 2530 alleles were concordant with the reference HLA genotypes; the remaining ambiguities did not exceed 0.8%. The results demonstrate the feasibility and significant benefit of HLA typing by NGS as this technology is highly accurate, eliminates virtually all ambiguities, provides complete sequencing information for the length of the HLA gene and forms the basis for utilizing a single methodology for HLA typing in the immunogenetics labs.

Filling the gaps – The generation of full genomic sequences for 15 common and well-documented HLA class I alleles using next-generation sequencing technology

Many common and well-documented (CWD) HLA alleles have only been partially characterized. The DNA sequence of these incomplete alleles, as published in the IMGT/HLA database, is most often limited to exons that code for the extracellular domains of the mature protein. Here we describe the application of next-generation sequencing technology to obtain full length genomic sequence from a single long-range PCR amplicon for 15 common and well-documented HLA Class I alleles. This technology is well suited to fill in the gaps of the current HLA allele sequence database which is largely incomplete. A more comprehensive catalog of HLA allele sequences would be beneficial in the evaluation of mismatches in transplantation, studies of population genetics, the evolution of HLAs, regulatory mechanisms and HLA expression, and issues related to the genomic organization of the MHC.

Towards allele-level human leucocyte antigens genotyping – assessing two next-generation sequencing platforms: Ion Torrent Personal Genome Machine and Illumina MiSeq

Human leucocyte antigens (HLA) typing has been a challenge due to extreme polymorphism of the HLA genes and limitations of the current technologies and protocols used for their characterization. Recently, next‐generation sequencing techniques have been shown to be a well‐suited technology for the complete characterization of the HLA genes. However, a comprehensive assessment of the different platforms for HLA typing, describing the limitations and advantages of each of them, has not been presented. We have compared the Ion Torrent Personal Genome Machine (PGM) and Illumina MiSeq, currently the two most frequently used platforms for diagnostic applications, for a number of metrics including total output, quality score per position across the reads and error rates after alignment which can all affect the accuracy of HLA genotyping. For this purpose, we have used one homozygous and three heterozygous well‐characterized samples, at HLA‐A, HLA‐B, HLA‐C, HLA‐DRB1 and HLA‐DQB1. The total output of bases produced by the MiSeq was higher, and they have higher quality scores and a lower overall error rate than the PGM. The MiSeq also has a higher fidelity when sequencing through homopolymer regions up to 9 bp in length. The need to set phase between distant polymorphic sites was more readily achieved with MiSeq using paired‐end sequencing of fragments that are longer than those obtained with PGM. Additionally, we have assessed the workflows of the different platforms for complexity of sample preparation, sequencer operation and turnaround time. The effects of data quality and quantity can impact the genotyping results; having an adequate amount of good quality data to analyse will be imperative for confident HLA genotyping. The overall turnaround time can be very comparable between the two platforms; however, the complexity of sample preparation is higher with PGM, while the actual sequencing time is longer with MiSeq.

Assessing a single targeted next generation sequencing for human leukocyte antigen typing protocol for interoperability, as performed by users with variable experience

BACKGROUND A simplified protocol for HLA-typing -by NGS, developed for use with the Illumina MiSeq, was performed by technologists with varying NGS experience to assess accuracy and reproducibility. METHODS Technologists from six laboratories typed the same 16 samples at HLA-A, B, C, DRB1, and DQB1. The protocol includes long range PCR, library preparation, and paired-end 250bp sequencing. Two indexing strategies were employed: locus-specific indexing whereby each locus was tagged uniquely and sample-specific indexing whereby all 5 loci for a sample were pooled prior to library preparation. Sequence analysis was performed with two software packages, Target HLA (Omixon) and NGSengine (GenDx). RESULTS The average number of sequence reads per library was 387,813; however, analysis was limited to 40,000 reads for locus-indexed libraries and 200,000 reads for sample-indexed libraries resulting in an average depth of coverage of 1444 reads per locus. Sufficient reads for genotype analysis were obtained for 98.4% of libraries. Genotype accuracy was >97% in pooled amplicons and >99% in individual amplicons by both software analysis. Inter-laboratory reproducibility was 99.7% and only cause of discordance was cross-contamination of a single amplicon. CONCLUSIONS This NGS HLA-typing protocol is simple, reproducible, scalable, highly accurate and amenable to clinical testing.