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High-Throughput High-Resolution Class I HLA Genotyping in East Africa

Overview of attention for article published in PLOS ONE, May 2010
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Title
High-Throughput High-Resolution Class I HLA Genotyping in East Africa
Published in
PLOS ONE, May 2010
DOI 10.1371/journal.pone.0010751
Pubmed ID
Authors

Rebecca N. Koehler, Anne M. Walsh, Eric E. Sanders-Buell, Leigh Anne Eller, Michael Eller, Jeffrey R. Currier, Christian T. Bautista, Fred Wabwire-Mangen, Michael Hoelscher, Leonard Maboko, Jerome Kim, Nelson L. Michael, Merlin L. Robb, Francine E. McCutchan, Gustavo H. Kijak

Abstract

HLA, the most genetically diverse loci in the human genome, play a crucial role in host-pathogen interaction by mediating innate and adaptive cellular immune responses. A vast number of infectious diseases affect East Africa, including HIV/AIDS, malaria, and tuberculosis, but the HLA genetic diversity in this region remains incompletely described. This is a major obstacle for the design and evaluation of preventive vaccines. Available HLA typing techniques, that provide the 4-digit level resolution needed to interpret immune responses, lack sufficient throughput for large immunoepidemiological studies. Here we present a novel HLA typing assay bridging the gap between high resolution and high throughput. The assay is based on real-time PCR using sequence-specific primers (SSP) and can genotype carriers of the 49 most common East African class I HLA-A, -B, and -C alleles, at the 4-digit level. Using a validation panel of 175 samples from Kampala, Uganda, previously defined by sequence-based typing, the new assay performed with 100% sensitivity and specificity. The assay was also implemented to define the HLA genetic complexity of a previously uncharacterized Tanzanian population, demonstrating its inclusion in the major East African genetic cluster. The availability of genotyping tools with this capacity will be extremely useful in the identification of correlates of immune protection and the evaluation of candidate vaccine efficacy.

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Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Colombia 1 1%
Tanzania, United Republic of 1 1%
Unknown 75 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 23%
Student > Master 16 21%
Other 8 10%
Student > Ph. D. Student 8 10%
Professor 5 6%
Other 12 15%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 32%
Medicine and Dentistry 15 19%
Immunology and Microbiology 11 14%
Biochemistry, Genetics and Molecular Biology 5 6%
Nursing and Health Professions 4 5%
Other 4 5%
Unknown 14 18%