Novel insights in the genomic organization and hotspots of recombination in the human KIR locus through analysis of intergenic regions

S Vendelbosch, M de Boer, K van Leeuwen, F Pourfarzad, J Geissler, T K van den Berg, T W Kuijpers

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)

Abstract

The Killer Immunoglobulin-like Receptor (KIR) proteins constitute a family of highly homologous surface receptors involved in the regulation of the innate cytotoxicity of natural killer (NK) cells. Within the human genome, 17 KIR genes are present, many of which show large variation across the population owing to the high number of allelic variants and copy number variation (CNV). KIR genotyping and CNV determination were used to map the KIR locus in a large cohort of >400 Caucasian individuals. Gene order and structure was determined by sequence-specific polymerase chain reaction of the intergenic regions. In this way, we could show that KIR3DL1 and KIR2DS4 gene variants are linked and that--contrary to current views--the gene KIR2DS5 is only present in the telomeric half of the KIR locus. Our study revealed novel insights in the highly organized distribution of KIR genes. Novel recombination hotspots were identified that contribute to the diversity of KIR gene distribution in the Caucasian population. Next-generation sequencing of the KIR intergenic regions allowed for a detailed single-nucleotide polymorphism analysis, which demonstrated several gene-specific as well as haplotype-specific nucleotides for a more accurate genotyping of this notoriously complex gene cluster.

Original languageEnglish
Pages (from-to)103-11
Number of pages9
JournalGenes and immunity
Volume16
Issue number2
DOIs
Publication statusPublished - Mar 2015

Keywords

  • DNA Copy Number Variations
  • DNA, Intergenic
  • Gene Order
  • Genome, Human
  • Haplotypes
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Promoter Regions, Genetic
  • Receptors, KIR/genetics
  • Receptors, KIR3DL1/genetics
  • Recombination, Genetic

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