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

Author:

Traore Mariam12ORCID,Sangare Harouna23,Diabate Oudou2,Diawara Abdoulaye2,Cissé Cheickna24,Nashiru Oyekanmi5,Li Jian6,Shaffer Jeffrey6,Wélé Mamadou27,Doumbia Seydou24,Chikowore Tinashe89,Soremekun Opeyemi110,Fatumo Segun1511ORCID

Affiliation:

1. The 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

2. African Center of Excellence in Bioinformatics University of Sciences, Techniques and Technologies of Bamako Bamako Mali

3. Department of Mathematics and Informatics, Faculty of Sciences and Techniques (FST) University of Sciences, Techniques and Technologies of Bamako (USTTB) Bamako Mali

4. Faculty of Medicine and Odonto‐stomatology University of Sciences, Techniques and Technologies of Bamako Bamako Mali

5. H3Africa Bioinformatics Network (H3ABioNet) Node, Centre for Genomics Research and Innovation NABDA/FMST Abuja Nigeria

6. School of Public Health and Tropical Medicine Tulane University New Orleans USA

7. Department of Biological Sciences, Faculty of Sciences and Techniques University of Sciences, Techniques and Technologies of Bamako Bamako Mali

8. MRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa

9. Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa

10. Molecular Bio‐computation and Drug Design Laboratory, School of Health Sciences University of KwaZulu‐Natal Durban South Africa

11. Department of Non‐communicable Disease Epidemiology (NCDE) London School of Hygiene and Tropical Medicine London UK

Abstract

AbstractBackgroundDyslipidemia 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.

Funder

Wellcome Trust

Publisher

Wiley

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