Evidence map›Paper›PMID 36680506›Full record

ArticleHLA2023

High throughput analysis of MHC class I and class II diversity of Zambian indigenous cattle populations.

Isaac Silwamba, Deepali Vasoya, Martin Simuunza, Thomas Tzelos, King S Nalubamba, Edgar Simulundu, Christina Vrettou, Geoffrey Mainda, Mick Watson, John Bwalya Muma and 1 more

Abstract read
In one paragraph

Article in HLA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Isaac SilwambaDepartment of Laboratory and Diagnostics, Livestock Services Cooperative Society, Lusaka, Zambia.
Deepali VasoyaCentre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, UK.ORCID 0000-0001-6764-5418
Martin SimuunzaDepartment of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia.
Thomas TzelosCentre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, UK.
King S NalubambaDepartment of Clinical Studies, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia.
Edgar SimulunduDepartment of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia.
Christina VrettouCentre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, UK.
Geoffrey MaindaDepartment of Veterinary Services, Ministry of Fisheries and Livestock, Central Veterinary Research Institute, Lusaka, Zambia.
Mick WatsonThe Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, UK.
John Bwalya MumaDepartment of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia.
Timothy ConnelleyCentre for Tropical Livestock Genetics and Health (CTLGH), The Roslin Institute, University of Edinburgh, Easter Bush Campus, Roslin, UK.

Funding

Bill & Melinda Gates FoundationBiotechnology and Biological Sciences Research Council BBS/E/D/20002174
6 · The paper itself

Abstract

The classical MHC class I and class II molecules play key roles in determining the antigenic-specificity of CD8+ and CD4+ T-cell responses-as such characterisation of the repertoire of MHCI and MHCII allelic diversity is fundamental to our ability to understand, and potentially, exploit how genetic diversity influences the outcome of immune responses. Cattle remain one of the most economically livestock species, with particular importance to many small-holder farmers in low-and-middle income countries (LMICs). However, our knowledge of MHC (BoLA) diversity in the indigenous breeds that form the mainstay of cattle populations in many LMICs remains very limited. In this study we develop a MiSeq-based platform to enable the rapid analysis of BoLA-DQA and BoLA-DQB, and combine this with similar platforms to analyse BoLA-I and BoLA-DRB repertoires, to study a large cohort of cattle (~800 animals) representing the 3 major indigenous breeds (Angoni, Barotse, Tonga) in Zambia. The data presented confirms the capacity of this high-throughput and high-resolution approach to provide a full characterisation of the MHCI-MHCII genotypes of cattle for which little previous MHC sequence data has been obtained. The cattle in Zambia were found to express a diverse range of MHCI, MHCII and extended MHCI-MHCII haplotypes. The combined MHCI-MHCII genotyping now possible opens new opportunities to rapidly expand our knowledge of MHC diversity in cattle that could find applications in a related translational disciplines such as vaccine development.

Indexed as

Genes, MHC Class IAllelesAnimalsCattleGenotypeHaplotypesZambiacattlehigh-throughput sequencingMHC

Identifiers

PMID36680506
PMCPMC10952738

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.