Evidence map›Paper›PMID 40230699›Full record

ArticleFrontiers in pharmacology2025

Mendelian randomization study highlights the role of hematological traits on Type-2 diabetes mellitus in African ancestry individuals.

Chisom Soremekun, Daudi Jjingo, David Kateete, Oyekanmi Nash, Dorothea Nitsch, Moffat Nyirenda, Dipender Gill, Eleftheria Zeggini, Harald Grallert, Annette Peters and 4 more

Abstract read
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Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Chisom SoremekunThe African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
Daudi JjingoAfrican Center of Excellence in Bioinformatics and Data-Intensive Sciences, Kampala, Uganda.
David KateeteDepartment of Immunology and Molecular Biology, School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda.
Oyekanmi NashCentre for Genomics Research and Innovation, NABDA/FMST, Abuja, Nigeria.
Dorothea NitschDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London School of Hygiene and Tropical Medicine, United Kingdom.
Moffat NyirendaDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London School of Hygiene and Tropical Medicine, United Kingdom.
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Eleftheria ZegginiInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Harald GrallertHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology, Neuherberg, Germany.
Annette PetersHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology, Neuherberg, Germany.
Tinashe ChikoworeDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School Boston, Boston, MA, United States.
Chiara BatiniDepartment of Population Health Sciences, University of Leicester, Leicester, United Kingdom.
Opeyemi SoremekunInstitute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Segun FatumoThe African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.

Funding

BCX-Africa: Utilizing data science to evaluate the applicability of blood cell traits polygenic risk scores for disease prediction in AfricaU01HL172180 · NHLBI · UGANDA VIRUS RESEARCH INSTITUTE · PI CHIKOWORE, TINASHE, FATUMO, SEGUN · 2023 to 2025
$748k
NHLBI NIH HHS U01 HL172180
6 · The paper itself

Abstract

Introduction: Observational studies have identified associations between hematological traits and type-2 diabetes mellitus (T2D). However, it is difficult to infer causal effects due to the potential of confounding. Our study utilizes the Mendelian randomization (MR) approach to address the above limitation and investigate the causal effect of hematological traits such as white blood cell (WBC), platelets (PLT), and red blood cell (RBC) on T2D in individuals of African ancestry. Methods: The participating cohorts included participants of African ancestry in the Blood Cell consortium and the Million Veteran Program dataset. Using GWAS summary statistics, we applied a univariable and multivariable Two-sample MR to estimate the causal relationship between hematological traits and T2D. Results: In the main IVW MR estimates, genetically predicted levels of mean corpuscular hemoglobin concentration (MCHC), mean corpuscular hemoglobin (MCH), and mean corpuscular volume (MCV) were associated with decreased risk of T2D. We also observed a decreased risk of T2D with genetically predicted total WBC count and neutrophil count (NEU), for the WBC traits. The multivariable analysis further supported the direct associations of genetically predicted MCH, MCHC, and MCV levels with a decreased risk of T2D. For the European ancestry, a similar pattern of association was observed for MCH and MCV. Discussion: These findings indicate that hematological traits may differentially play a role in the development of T2D and be affected by T2D. However, further research is needed to validate and explore the biological pathways and mechanisms involved in these associations.

Indexed as

Africablood cell traitsHematological traitsmendelian randomizationType-2 diabetes

Identifiers

PMID40230699
PMCPMC11994964

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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.