Scientific article
Open access

The relevance of HLA sequencing in population genetics studies

Published inJournal of Immunology Research, vol. 2014, no. 971818
Publication date2014

Next generation sequencing (NGS) is currently being adapted by different biotechnological platforms to the standard typing method for HLA polymorphism, the huge diversity of which makes this initiative particularly challenging. Boosting the molecular characterization of the HLA genes through efficient, rapid, and low-cost technologies is expected to amplify the success of tissue transplantation by enabling us to find donor-recipient matching for rare phenotypes. But the application of NGS technologies to the molecular mapping of the MHC region also anticipates essential changes in population genetic studies. Huge amounts of HLA sequence data will be available in the next years for different populations, with the potential to change our understanding of HLA variation in humans. In this review, we first explain how HLA sequencing allows a better assessment of the HLA diversity in human populations, taking also into account the methodological difficulties it introduces at the statistical level; secondly, we show how analyzing HLA sequence variation may improve our comprehension of population genetic relationships by facilitating the identification of demographic events that marked human evolution; finally, we discuss the interest of both HLA and genome-wide sequencing and genotyping in detecting functionally significant SNPs in the MHC region, the latter having also contributed to the makeup of the HLA molecular diversity observed today.

  • Evolution
  • Molecular
  • Gene Expression Regulation
  • Genetic Association Studies
  • Genetics
  • Population
  • HLA Antigens/genetics
  • High-Throughput Nucleotide Sequencing
  • Histocompatibility Testing
  • Humans
  • Polymorphism
  • Genetic
Citation (ISO format)
SANCHEZ-MAZAS, Alicia, MEYER, Diogo. The relevance of HLA sequencing in population genetics studies. In: Journal of Immunology Research, 2014, vol. 2014, n° 971818. doi: 10.1155/2014/971818
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Article (Published version)
ISSN of the journal2314-8861

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