Evidence map›Paper›PMID 40446072›Full record

ArticlePloS one2025

Phenome-wide association study and functional annotation of hemoglobin A1c-associated variants in African populations.

Chisom Soremekun, Oyesola Ojewunmi, Amarachukwu Nwagbata, Homa Bazireh, Sapna Sharma, Daudi Jjingo, David Patrick Kateete, Oyekanmi Nash, Harald Grallert, Chiara Batini and 2 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 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

12 authors.

Chisom SoremekunNCD Genomics & The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.ORCID 0009-0005-9533-0102
Oyesola OjewunmiNCD Genomics & The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
Amarachukwu NwagbataUsher Institute, University of Edinburgh, Edinburgh, United Kingdom.
Homa BazirehHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology, Ingolstädter Landstr, Neuherberg, Germany.
Sapna SharmaHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology, Ingolstädter Landstr, Neuherberg, Germany.
Daudi JjingoAfrican Center of Excellence in Bioinformatics and Data-Intensive Sciences, Infectious Diseases Institute, Kampala, Uganda.
David Patrick 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, National Biotechnology Development Agency, Abuja, Nigeria.
Harald GrallertHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology, Ingolstädter Landstr, Neuherberg, Germany.
Chiara BatiniDepartment of Population Health Sciences, University of Leicester, Leicester, United Kingdom.
Annette PetersHelmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology, Ingolstädter Landstr, Neuherberg, Germany.
Segun FatumoNCD Genomics & The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.ORCID 0000-0003-4525-3362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlycated hemoglobin (HbA1c) measures the average blood sugar level over the past three months. As a vital biomarker of blood glucose levels, it is used to diagnose Type-2 diabetes mellitus (T2D) and monitor glycemic control. A heritability estimate of 47% to 59% suggests that about half of the variation in HbA1c levels can be attributed to genetic factors. Despite African populations being the most genetically diverse and unique for fine-mapping, there is a paucity of data on the genetic drivers of HbA1c in African individuals. In this study, we performed functional annotation and a Phenome-Wide Association Study (PheWAS) of HbA1c-associated variants in two African populations.

methodIn this study, we utilized summary statistics of the HbA1c GWAS meta-analysis of 7,526 individuals from South Africa and Uganda to conduct a PheWAS using GWASATLAS. We also performed a functional analysis using the functional mapping and annotation (FUMA) tool. Single nucleotide polymorphisms (SNPs) were prioritized using the SNP2GENE function, while the gene expression patterns and shared molecular functions were explored in the GENE2FUNC.

resultThree genome-wide significant loci were identified with the lead SNPs: rs6724428, rs148228241, and rs8045544 - mapped to GULP1, HBA1, and ITFG3 genes, respectively. The minor allele frequencies of rs148228241 (0.07) and rs8045544 (0.19) are rare or non-existent in non-African populations. Both rs8045544 and rs148228241 are significantly associated with the mean corpuscular hemoglobin concentration (MCHC). A lower MCHC is associated with alpha thalassaemia, resulting from deletions in HBA1 and HBA2 genes. Such deletions are prevalent in malaria-endemic regions of Africa due to their selective survival advantage. The rs6724428 variant is associated with skeletal functions, reflecting the link between glucose metabolism and bone mineral density. DISCUSSION: Our findings highlight the interplay between glucose metabolism, erythropoiesis, and skeletal health. The significant associations of HbA1c-variants with both skeletal function and MCHC underscore the potential of these variants to impact broader physiological processes. A large-scale study of African individuals will be essential to unravel genetic variants influencing HbA1c.

Indexed as

African PeopleDiabetes Mellitus, Type 2Genome-Wide Association StudyGlycated HemoglobinHumansPhenotypePolymorphism, Single NucleotideSouth AfricaUgandaGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID40446072
PMCPMC12124741

What Socratic holds

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LicenceCC BY
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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 Socratic graph.