| Title: | Mapping epigenetic gene variant dynamics: comparative analysis of frequency, functional impact and trait associations in African and European populations |
| Journal: | Scientific Reports |
| Published: | 6 Mar 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41792307/ |
| DOI: | https://doi.org/10.1038/s41598-026-41871-y |
| URL: | http://dx.doi.org/10.1038/s41598-026-41871-y |
Publication 17486
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Abstract
Epigenetic modifications influence gene expression levels, impact organismal traits, and play a role in the development of diseases. Therefore, variants in genes involved in epigenetic processes are likely to be important in disease susceptibility, and the frequency of variants may vary between populations with African and European ancestries. Here, we analyse an integrated dataset to define the frequencies, associated traits, and functional impact of epigenetic gene variants among individuals of African and European ancestry represented in the UK Biobank. We find that the frequencies of 88.4% of epigenetic gene variants significantly differ between these groups. Furthermore, we find that these variants map to many reported traits and diseases, and we show that allele-frequency differences can alter statistical power and the likelihood of detecting associations across ancestry groups, particularly given the substantial sample-size imbalance between the UK Biobank European-ancestry and African-ancestry subsets. Additionally, we observe that variants associated with traits are significantly enriched for quantitative trait loci that affect DNA methylation, chromatin accessibility, and gene expression. We find that methylation quantitative trait loci account for 71.2% of the variants influencing gene expression. Moreover, variants linked to biomarker traits exhibit high correlation. We therefore conclude that epigenetic gene variants associated with traits tend to differ in their allele frequencies among African and European populations and are enriched for QTLs.</p>
17 Authors
- Musalula Sinkala
- Gaone Retshabile
- Phelelani T. Mpangase
- Salia Bamba
- Modibo K. Goita
- Victoria Nembaware
- Samar S. M. Elsheikh
- Jeannine Heckmann
- Kevin Esoh
- Mogomotsi Matshaba
- Clement A. Adebamowo
- Sally N. Adebamowo
- Ofon Elvis Amih
- Guida Landoure
- Ambroise Wonkam
- Michele Ramsay
- Nicola Mulder
1 Application
| Application ID | Title |
|---|---|
| 53163 | GWA studies across African and European ethnicities to determine correlation in associated SNPs |
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