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HLA-A gene polymorphism defined by high-resolution sequence-based typing in 161 Northern Chinese Han people.

  • Chunxia Yan
  • , Ruilin Wang
  • , Jingxiang Li
  • , Yajun Deng
  • , Dongying Wu
  • , Hongbo Zhang
  • , Hongxing Zhang
  • , Lidong Wang
  • , Chunrong Zhang
  • , Haiyan Sun
  • , Xiuqing Zhang
  • , Jian Wang
  • , Huanming Yang
  • , Shengbin Li
  • The State Laboratory of the Ministry of Health for Forensic Sciences

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Human leukocyte antigen (HLA) system is the most polymorphic region known in the human genome. In the present study, we analyzed for the first time the HLA-A gene polymorphisms defined by the high-resolution typing methods-sequence-based typing (SBT) in 161 Northern Chinese Han people. A total of 74 different HLA-A gene types and 36 alleles were detected. The most frequent alleles were A*110101 (GF=0.2360), A*24020101 (GF=0.1646), and A*020101 (GF=0.1553); followed by A*3303 (GF=0.1180), A*3001 (GF=0.0590), and A*310102 (GF=0.0404). The frequencies of following alleles, A*0203, A*0205, A*0206, A*0207, A*030101, A*2423, A*2601, A*3201, and A*3301, are all higher than 0.0093. The homozygous alleles include A*020101, A*110101, A*24020101 and A*310102. Heterozygosity (H), polymorphism information content (PIC), discrimination power (DP) and probability of paternity exclusion (PPE) of HLA-A in the samples were calculated and their values were 0.8705, 0.8491, 0.6014, and 0.9475, respectively. These results by SBT analysis of HLA-A polymorphism in Northern Chinese Han population, especially the allele subtypes character, will be of great interest for clinical transplantation, disease-associated study and forensic identification. Implementation of high-resolution typing methods allows a significantly wider spectrum of HLA variation including rare alleles. This spectrum will further be extensively utilized in many fields.

Original languageEnglish
Pages (from-to)304-309
Number of pages6
JournalGenomics, proteomics & bioinformatics / Beijing Genomics Institute
Volume1
Issue number4
DOIs
StatePublished - Nov 2003
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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