Evidence map›Paper›PMID 39282263›Full record

ArticlebioRxiv : the preprint server for biology2024

High Resolution Class I

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

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.
Olivier HyrienFred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Vaccine and Immunology Statistical Centre, Seattle, USA.
Zaza M NdhlovuAfrica Health Research Institute (AHRI), Nelson R. Mandela School of Medicine, Durban, South Africa.ORCID 0000-0002-4089-5748

Funding

Spatial analysis of tissue immune responses in persistent HIV infectionR01AI181690 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI NDHLOVU, ZAZA MTINE · 2024 to 2024
$547k
NIAID NIH HHS R01 AI181690
6 · The paper itself

Abstract

Africa remains significantly underrepresented in high-resolution Human Leukocyte Antigen (HLA) data, despite being one of the most genetically diverse regions in the world. This critical gap in genetic information poses a substantial barrier to HLA-based research on the continent. In this study, Class I HLA data from Eastern and Southern African populations were analysed to assess genetic diversity across the region. We examined allele and haplotype frequency distributions, deviations from Hardy-Weinberg Equilibrium (HWE), linkage disequilibrium (LD), and conducted neutrality tests of homozygosity across various populations. Additionally, the African HLA data were compared to those of Caucasian and African American populations using the Jaccard index and multidimensional scaling (MDS) methods. The study revealed that South African populations exhibited 50.4% more genetic diversity within the Class I HLA region compared to other African populations. Zambia showed an estimated 36.5% genetic diversity, with Kenya, Rwanda and Uganda showing 35.7%, 34.2%, and 31.1%, respectively. Furthermore, an analysis of in-country diversity among different tribes indicated an average Class I HLA diversity of 25.7% in Kenya, 17% in Rwanda, 2.8% in South Africa, 13.6% in Uganda, and 6.5% in Zambia. The study also highlighted the genetic distinctness of Caucasian and African American populations compared to African populations. Notably, the differential frequencies of disease-promoting and disease-preventing HLA alleles across these populations emphasize the urgent need to generate high-quality HLA data for all regions of Africa and its major ethnic groups. Such efforts will be crucial in enhancing healthcare outcomes across the continent.

Identifiers

PMID39282263
PMCPMC11398358

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.