Evidence map›Paper›PMID 36752565›Full record

ArticleHuman molecular genetics2023

Genome-wide association study identifies novel candidate malaria resistance genes in Cameroon.

Kevin K Esoh, Tobias O Apinjoh, Alfred Amambua-Ngwa, Steven G Nyanjom, Emile R Chimusa, Lucas Amenga-Etego, Ambroise Wonkam, Eric A Achidi

Open access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2023. 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
3.2field-weighted citation impact, top 9% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Human genetic variations conferring resistance to malaria.Journal of translational medicine · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. A novel locus inFrontiers in genetics · 2024
    Article
  8. Article
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

8 authors at 7 institutions in 7 countries.

Kevin K EsohDivision of Human Genetics, Department of Pathology, University of Cape Town, Health Sciences Campus, Anzio Rd, Observatory, Cape Town, 7925, South Africa.ORCID 0000-0002-4024-5681
Tobias O ApinjohDepartment of Biochemistry and Molecular Biology, University of Buea, PO Box 63, South West Region, Buea, Cameroon.
Alfred Amambua-NgwaMedical Research Council Unit, The Gambia, at LSHTM, PO Box 273, Banjul, The Gambia.ORCID 0000-0003-4478-3601
Steven G NyanjomDepartment of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, PO Box 62000, City Square, Nairobi, Kenya.
Emile R ChimusaDepartment of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle, Tyne and Wear NE1 8ST, UK.ORCID 0000-0001-8846-2047
Lucas Amenga-EtegoWest African Centre for Cell Biology of Infectious Pathogens, University of Ghana, PO Box LG 25, Legon, Accra, Ghana.
Ambroise WonkamDivision of Human Genetics, Department of Pathology, University of Cape Town, Health Sciences Campus, Anzio Rd, Observatory, Cape Town, 7925, South Africa.ORCID 0000-0003-1420-9051
Eric A AchidiDepartment of Biochemistry and Molecular Biology, University of Buea, PO Box 63, South West Region, Buea, Cameroon.
University of Buea · CMCumbria Northumberland Tyne and Wear NHS Foundation Trust · GBJohns Hopkins University · USJomo Kenyatta University of Agriculture and Technology · KEMRC Unit the Gambia · GMUniversity of Cape Town · ZAUniversity of Ghana · GH

Funding

Sickle Africa Data Coordinating CenterU24HL135600 · NHLBI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA, WONKAM, AMBROISE · 2017 to 2025
$8.6M
NHLBI NIH HHS U24 HL135600
6 · The paper itself

Abstract

Recent data suggest that only a small fraction of severe malaria heritability is explained by the totality of genetic markers discovered so far. The extensive genetic diversity within African populations means that significant associations are likely to be found in Africa. In their series of multi-site genome-wide association studies (GWAS) across sub-Saharan Africa, the Malaria Genomic Epidemiology Network (MalariaGEN) observed specific limitations and encouraged country-specific analyses. Here, we present findings of a GWAS of Cameroonian participants that contributed to MalariaGEN projects (n = 1103). We identified protective associations at polymorphisms within the enhancer region of CHST15 [Benjamin-Hochberg false discovery rate (FDR) < 0.02] that are specific to populations of African ancestry, and that tag strong eQTLs of CHST15 in hepatic cells. In-silico functional analysis revealed a signature of epigenetic regulation of CHST15 that is preserved in populations in historically malaria endemic regions, with haplotype analysis revealing a haplotype that is specific to these populations. Association analysis by ethnolinguistic group identified protective associations within SOD2 (FDR < 0.04), a gene previously shown to be significantly induced in pre-asymptomatic malaria patients from Cameroon. Haplotype analysis revealed substantial heterogeneity within the beta-like globin (HBB) gene cluster amongst the major ethnic groups in Cameroon confirming differential malaria pressure and underscoring age-old fine-scale genetic structure within the country. Our findings revealed novel insights in the evolutionary genetics of populations living in Cameroon under malaria pressure with new significant protective loci (CHST15 and SOD2) and emphasized the significant attenuation of genetic association signals by fine-scale genetic structure.

Indexed as

Genome-Wide Association StudyMalariaCameroonEpigenesis, GeneticHumansPolymorphism, Single Nucleotide

Identifiers

PMID36752565
PMCPMC10244224
OpenAlexW4319461887

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.