Abstract
Human leukocyte antigen (HLA) genes are the most polymorphic in the human genome. They play a pivotal role in the immune response and have been implicated in numerous human pathologies, especially autoimmunity and infectious diseases. Despite their importance, however, they are rarely characterized comprehensively because of the prohibitive cost of standard technologies and the technical challenges of accurately discriminating between these highly related genes and their many allelles. Here we demonstrate a high-resolution, and cost-effective methodology to type HLA genes by sequencing, which combines the advantage of long-range amplification, the power of high-throughput sequencing platforms, and a unique genotyping algorithm. We calibrated our method for HLA-A, -B, -C, and -DRB1 genes with both reference cell lines and clinical samples and identified several previously undescribed alleles with mismatches, insertions, and deletions. We have further demonstrated the utility of this method in a clinical setting by typing five clinical samples in an Illumina MiSeq instrument with a 5-d turnaround. Overall, this technology has the capacity to deliver low-cost, high-throughput, and accurate HLA typing by multiplexing thousands of samples in a single sequencing run, which will enable comprehensive disease-association studies with large cohorts. Furthermore, this approach can also be extended to include other polymorphic genes.
MeSH Terms
Alleles
Base Sequence
Cell Line
DNA Primers/genetics
Genotype
Genotyping Techniques/methods
HLA Antigens/genetics
HLA-A Antigens/genetics
HLA-B Antigens/genetics
HLA-C Antigens/genetics
HLA-DRB1 Chains/genetics
High-Throughput Nucleotide Sequencing/methods
Humans
Molecular Sequence Data
Polymerase Chain Reaction/methods
Polymorphism, Genetic
Reproducibility of Results
Sequence Homology, Nucleic Acid
Chemicals
DNA Primers
HLA Antigens
HLA-A Antigens
HLA-B Antigens
HLA-C Antigens
HLA-DRB1 Chains
Authors & Affiliations
11 authors, click to expand affiliations / ORCID
Wang Chunlin
Stanford Genome Technology Center, Stanford University, Palo Alto, CA 94003, USA.
Krishnakumar Sujatha
Wilhelmy Julie
Babrzadeh Farbod
Stepanyan Lilit
Su Laura F
Levinson Douglas
Fernandez-Viña Marcelo A
Davis Ronald W
Davis Mark M
Mindrinos Michael
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