4.4 Article

High-throughput genotyping of HLA-G, HLA-F, MICA, and MICB and analysis of frequency distributions in healthy blood donors from Catalonia

期刊

HLA
卷 97, 期 5, 页码 420-427

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WILEY
DOI: 10.1111/tan.14221

关键词

frequencies; MICA; MICB; NGS; non‐ classical HLA class I

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This study analyzed the allele frequencies of HLA-G, HLA-F, MICA, and MICB genes in a population of blood donors in Catalonia, Spain using high-throughput next generation sequencing. The most frequent alleles were identified for each gene, providing important information for further research on the functional role of these genes in different populations and diseases. Strong linkage disequilibrium was observed between MICA and HLA-B, indicating potential genetic associations between these genes.
Similarly to HLA class I molecules, certain non-classical HLA class I genes and MHC class I polypeptide-related sequences A and B (MICA and MICB) act as ligands for KIR and NKG2D natural killer receptors. Although these genes are less polymorphic than HLA class I, few studies have analyzed their association with diseases. Information on allele frequencies in healthy donors is needed to map their distribution worldwide. This study is the first to analyze high-resolution HLA-G, HLA-F, MICA, and MICB allele frequencies using a novel high-throughput next generation-sequencing method. We analyzed DNA samples from 96 unrelated blood donors resident in Catalonia, Spain, and registered in the Barcelona Blood and Tissue Bank. Using the first two fields of the HLA nomenclature, we detected six HLA-G and two HLA-F alleles. The most frequent alleles were HLA-G*01:01 (77.08%) and HLA-F*01:01(84.90%). When the four fields were analyzed, we detected 16 and 10 alleles, respectively. Nineteen alleles were detected for MICA and 10 for MICB. The most frequent alleles in these cases were MICA*008:01 (16.15%) and MICB*005:02 (46.84%). All frequencies were in Hardy Weinberg equilibrium except MICA. We also estimated maximum-likelihood haplotype frequencies and calculated corresponding linkage disequilibrium (LD) values and found that few allele pairs were in disequilibrium. Strong LD between MICA and HLA-B (using data from a previous study) was observed. Our findings will be useful for guiding further research evaluating the functional role of these genes in different diseases and populations.

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