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qKAT: Quantitative Semi-automated Typing of Killer-cell Immunoglobulin-like Receptor Genes
Published on: March 6, 2019
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Defining KIR and HLA Class I Genotypes at Highest Resolution via High-Throughput Sequencing
Paul J Norman1, Jill A Hollenbach2, Neda Nemat-Gorgani1
1Departments of Structural Biology and Microbiology & Immunology, School of Medicine, Stanford University, Stanford, CA 94305, USA.
American Journal of Human Genetics
|August 4, 2016
Summary
Researchers developed a new method to analyze killer cell immunoglobulin-like receptors (KIR) and HLA class I genes. This technique efficiently genotypes these complex, polymorphic genes, revealing novel alleles and structural variants in human populations.
Area of Science:
- Immunogenetics
- Genomic analysis
- Human population genetics
Background:
- Killer cell immunoglobulin-like receptors (KIR) and HLA class I molecules are crucial for natural killer (NK) cell function in immunity and reproduction.
- The genomic regions encoding KIR and HLA class I genes are complex, polymorphic, and linked to various diseases and therapeutic outcomes.
- Existing methods for genotyping these genes are challenging due to their structural complexity and high variability.
Purpose of the Study:
- To develop a comprehensive method for capturing, sequencing, and analyzing the 13 KIR genes and HLA-A, HLA-B, and HLA-C from genomic DNA.
- To create a bioinformatics pipeline for accurate KIR gene attribution, copy number determination, and high-resolution genotyping.
- To validate the new method and apply it for large-scale population studies.
Main Methods:
- Development of a novel DNA capture and sequencing method targeting KIR and HLA class I genes.
- Creation of a bioinformatics pipeline for read attribution, copy number analysis, and genotype calling.
- Validation using cell line DNA, comparison with established genotyping techniques, and analysis of 1000 Genomes Project data.
Main Results:
- The method successfully captures, sequences, and genotypes KIR and HLA class I genes with high resolution.
- 116 previously uncharacterized KIR alleles were identified and validated.
- Analysis revealed that 22% of individuals in the 1000 Genomes dataset possess novel alleles or structural variants in two KIR genes.
Conclusions:
- The developed method provides an efficient and accurate approach for genotyping highly polymorphic KIR and HLA class I genes.
- This technique is suitable for large-scale population studies aimed at understanding disease associations and human genetic diversity.
- The findings highlight the extensive, previously unrecognized genetic variation within KIR genes in human populations.
