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P142 Class I variation outside the antigen recognition domain is limited in an argentine registry population
- Source :
- Human Immunology. 78:158
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Aim The aim of this study was to use next generation DNA sequencing (NGS) to characterize full length HLA class I gene diversity in 1472 volunteers for the unrelated donor registry in Argentina. Methods DNA was prepared from blood. HLA-A, -B, -C alleles were amplified with primers annealing in the 5′ and 3′ UTRs. The sequences of exons and introns were determined by NGS with an Illumina Miseq using an in-house protocol and Conexio Assign software analysis. Analysis used the IPD-IMGT/HLA database from October 2016. Results Volunteers were recruited from 20 of the 23 provinces of Argentina and from its federal capital. The majority (80%) came from the central region of the country. Of the 2944 alleles identified at each locus, the majority have been designated as common (e.g., 92% HLA-A alleles) (Mack et al. Tissue Antigens 2013) and approximately 1% were not found in the IPD-IMGT/HLA database. A total of 79 different allele sequences were identified at the HLA-A locus with similar numbers at HLA-B and -C. The majority of the HLA proteins can be distinguished by sequencing only the antigen recognition domain (ARD)-encoding exons. For example, 94% of the HLA-A alleles could have been detected solely based on the sequence of the ARD-encoding exons. The remaining alleles differed only outside of these exons by either silent variation occurring mainly in introns (6%) or by nonsynonymous variation ( Conclusions NGS has allowed us to evaluate the frequency and characteristics of class I DNA sequence variation outside of the ARD-encoding exons. The additional variation detected is predominantly in noncoding regions. While NGS offers a strategy to achieve single genotype resolution, the amount of additional information gained related to HLA matching for transplantation is minimal.
Details
- ISSN :
- 01988859
- Volume :
- 78
- Database :
- OpenAIRE
- Journal :
- Human Immunology
- Accession number :
- edsair.doi...........dbbbed2f96ed97be59e0a3609df85c03
- Full Text :
- https://doi.org/10.1016/j.humimm.2017.06.202