Evidence map›Paper›PMID 40603473›Full record

ArticleScientific reports2025

High resolution class I HLA-A, -B, and -C diversity in Eastern and Southern African populations.

Alabi W Banjoko, Tiza Ng'uni, Nitalia Naidoo, Veron Ramsuran, Ollivier Hyrien, Zaza M Ndhlovu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Alabi W BanjokoAfrica Health Research Institute (AHRI), Nelson R. Mandela School of Medicine, Durban, South Africa.
Tiza Ng'uniAfrica Health Research Institute (AHRI), Nelson R. Mandela School of Medicine, Durban, South Africa.
Nitalia NaidooAfrica Health Research Institute (AHRI), Nelson R. Mandela School of Medicine, Durban, South Africa.
Veron RamsuranSchool of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Ollivier HyrienBiostatistics, Bioinformatics and Epidemiology Program, Fred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, USA.
Zaza M NdhlovuAfrica Health Research Institute (AHRI), Nelson R. Mandela School of Medicine, Durban, South Africa. zaza.ndhlovu@ahri.org.

Funding

Bill and Melinda Gates Foundation INV-048833Gates Foundation INV-027090Gates Foundation INV-027499Gates Foundation INV-032929National Institutes of Health, NIH/NIAID R01A1181690Sub-Saharan African Network for TB/HIV Research Excellence (SANTHE) SANTHE COL018
6 · The paper itself

Abstract

Africa, being one of the most genetically diverse regions in the world, remains significantly underrepresented in high-resolution Human Leukocyte Antigen (HLA) data. The extensive genetic variation in HLA alleles across the region underscores the need for population-specific immunogenetic data to guide T-cell vaccine development. This study analysed Class I HLA data from Eastern and Southern African populations to assess regional genetic diversity. Analyses included allele and haplotype frequency distributions, deviations from Hardy-Weinberg equilibrium, linkage disequilibrium, and homozygosity test of neutrality across various populations. To further contextualise African HLA diversity, comparisons were made among African populations and also with African American and European American populations using the Hellinger diversity index and multidimensional scaling methods. The results revealed that South African populations exhibited an estimated average of 34.1% genetic diversity with respect to other African populations. Rwanda demonstrated an estimated 26.9% genetic diversity, Kenya (26.5%), Zambia (26.5%), and Uganda (24.7%). Additionally, in-country analyses revealed variations in HLA diversity among different tribes within each country. The estimated average in-country diversity was 51% in Kenya, 35.8% in Uganda, and 33.2% in Zambia. These results reveal various levels of genetic diversity among African populations. The highlighted differences in HLA Class I allele frequencies between Eastern and Southern African populations compared to US populations, demonstrate that it is inappropriate to extrapolate HLA data from US populations including that of African Americans when designing T-cell-inducing vaccines tailored to African populations. Our findings underscore the urgent need to generate high-resolution HLA data to guide vaccine development tailored to African populations.

Indexed as

Black PeopleGenetic VariationHLA-A AntigensHLA-B AntigensHLA-C AntigensAfrica, EasternAfrica, SouthernAllelesGene FrequencyGenetics, PopulationHaplotypesHumansLinkage DisequilibriumHLA-A AntigensHLA-B AntigensHLA-C AntigensAfricaAllelesDiversity indicesHaplotypesHLA

Identifiers

PMID40603473
PMCPMC12222908

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.