Evidence map›Paper›PMID 38488696›Full record

ArticleAnnals of human genetics2025

Causal effect of severe and non-severe malaria on dyslipidemia in African Ancestry individuals: A Mendelian randomization study.

Mariam Traore, Harouna Sangare, Oudou Diabate, Abdoulaye Diawara, Cheickna Cissé, Oyekanmi Nashiru, Jian Li, Jeffrey Shaffer, Mamadou Wélé, Seydou Doumbia and 3 more

Abstract read
In one paragraph

Article in Annals of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

13 authors.

Mariam TraoreThe African Computational Genomics (TACG) Research Group, Medical Research Council /Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda.ORCID 0009-0006-7900-4793
Harouna SangareAfrican Center of Excellence in Bioinformatics, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.
Oudou DiabateAfrican Center of Excellence in Bioinformatics, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.
Abdoulaye DiawaraAfrican Center of Excellence in Bioinformatics, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.
Cheickna CisséAfrican Center of Excellence in Bioinformatics, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.
Oyekanmi NashiruH3Africa Bioinformatics Network (H3ABioNet) Node, Centre for Genomics Research and Innovation, NABDA/FMST, Abuja, Nigeria.
Jian LiSchool of Public Health and Tropical Medicine, Tulane University, New Orleans, USA.
Jeffrey ShafferSchool of Public Health and Tropical Medicine, Tulane University, New Orleans, USA.
Mamadou WéléAfrican Center of Excellence in Bioinformatics, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.
Seydou DoumbiaAfrican Center of Excellence in Bioinformatics, University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali.
Tinashe ChikoworeMRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Opeyemi SoremekunThe African Computational Genomics (TACG) Research Group, Medical Research Council /Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda.
Segun FatumoThe African Computational Genomics (TACG) Research Group, Medical Research Council /Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Entebbe, Uganda.ORCID 0000-0003-4525-3362

Funding

West African Center of Excellence for Global Health Bioinformatics Research TrainingU2RTW010673 · FIC · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · PI DOUMBIA, SEYDOU, LI, JIAN · 2017 to 2021
$1.2M
FIC NIH HHS U2R TW010673UK Department for International Development (DFID)UK Medical Research Council (MRC)Wellcome TrustWellcome Trust (220740/Z/20/Z)West African Center of Excellence for Global Health Bioinformatics Research Training U2RTW010673
6 · The paper itself

Abstract

backgroundDyslipidemia is becoming prevalent in Africa, where malaria is endemic. Observational studies have documented the long-term protective effect of malaria on dyslipidemia; however, these study designs are prone to confounding. Therefore, we used Mendelian randomization (MR, a method robust to confounders and reverse causation) to determine the causal effect of severe malaria (SM) and the recurrence of non-severe malaria (RNM) on lipid traits.

methodWe performed two-sample MR using genome wide association study (GWAS) summary statistics for recurrent non-severe malaria (RNM) from a Benin cohort (N = 775) and severe malaria from the MalariaGEN dataset (N = 17,000) and lipid traits from summary-level data of a meta-analyzed African lipid GWAS (MALG, N = 24,215) from the African Partnership for Chronic Disease Research (APCDR) (N = 13,612) and the Africa Wits-IN-DEPTH partnership for genomics studies (AWI-Gen) dataset (N = 10,603).

resultNo evidence of significant causal association was obtained between RNM and high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol and triglycerides. However, a notable association emerged between severe malarial anaemia (SMA) which is a subtype of severe malaria and reduced HDL-C levels, suggesting a potential subtype-specific effect. Nonetheless, we strongly believe that the small sample size likely affects our estimates, warranting cautious interpretation of these results.

conclusionOur findings challenge the hypothesis of a broad causal relationship between malaria (both severe and recurrent non-severe forms) and dyslipidemia. The isolated association with SMA highlights an intriguing area for future research. However, we believe that conducting larger studies to investigate the connection between malaria and dyslipidemia in Africa will enhance our ability to better address the burden posed by both diseases.

Indexed as

Black PeopleDyslipidemiasMalariaMendelian Randomization AnalysisGenome-Wide Association StudyHumansPolymorphism, Single Nucleotidecausal effectdyslipidemiaMalariaMendelian randomization

Identifiers

PMID38488696
PMCPMC12152522

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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.