Jamie Duke

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.

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.

Targeted Next-Generation Sequencing for Human Leukocyte Antigen Typing in a Clinical Laboratory: Metrics of Relevance and Considerations for Its Successful Implementation

CONTEXT - Numerous feasibility studies to type human leukocyte antigens (HLAs) by next-generation sequencing (NGS) have led to the development of vendor-supported kits for HLA typing by NGS. Some clinical laboratories have introduced HLA-NGS, and many are investigating the introduction. Standards from accrediting agencies form the regulatory framework for introducing this test into clinical laboratories. OBJECTIVES - To provide an assessment of metrics and considerations relevant to the successful implementation of clinical HLA-NGS typing, and to provide as a reference a validated HLA-NGS protocol used clinically since December 2013 at the Childrens Hospital of Philadelphia (Philadelphia, Pennsylvania). DATA SOURCES - The HLA-NGS has been performed on 2532 samples. The initial 1046 and all homozygous samples were also typed by an alternate method. The HLA-NGS demonstrated 99.7% concordance with the alternate method. Ambiguous results were most common at the DPB1 locus because of a lack of phasing between exons 2 and 3 or the unsequenced exon 1 (533 of 2954 alleles; 18.04%) and the DRB1 locus because of not sequencing exon 1 (75 of 3972 alleles; 1.89%). No ambiguities were detected among the other loci. Except for 2 false homozygous samples, all homozygous samples (1891) demonstrated concordance with the alternate method. The article is organized to address the critical elements in the preanalytic, analytic, and postanalytic phases of introducing this assay into the clinical laboratory. CONCLUSIONS - The results demonstrate that HLA typing by NGS is a highly accurate, reproducible, efficient method that provides more-complete sequencing information for the length of the HLA gene and can be the single methodology for HLA typing in clinical immunogenetics laboratories.

Association of HLA-DRB1 genetic variants with the persistence of atopic dermatitis

Atopic dermatitis (AD) is a waxing and waning illness of childhood that is likely caused by interactions between an altered skin barrier and immune dysregulation. The goal of our study was to evaluate the association of DRB1 genetic variants and the persistence of AD using whole exome sequencing and high resolution typing. DRB1 was interrogated based on previous reports that utilized high throughput techniques. We evaluated an ongoing nation-wide long-term cohort of children with AD in which patients are asked every 6months about their medication use and their AD symptoms. In total, 87 African-American and 50 European-American children were evaluated. Genetic association analysis was performed using a software tool focusing on amino acid variable positions shared by HLA-DRB1 alleles covering the antigen presenting domain. Amino acid variations at position 9 (pocket 9), position 26, and position 78 (pocket 4) were marginally associated with the prevalence of AD. However, the odds ratio was 0.30 (0.14, 0.68; p=0.003) for residue 78, 0.27 (0.10, 0.69; p=0.006) for residue 26 and not significant for residue 9 with respect to the persistence of AD. In conclusion, amino acid variations at peptide-binding pockets of HLA-DRB1 were associated with the persistence of AD in African-American children.

Identification and characterization of a novel HLA-B hybrid allele, B*08:132 with Next Generation Sequencing

The new allele is a hybrid between B*08:01:01 and B*42:01:01.

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.