Mapping Epigenetic Gene Variant Dynamics: Comparative Analysis of Frequency, Functional Impact and Trait Associations in African and European Populations.

Journal: medRxiv : the preprint server for health sciences

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Affiliated Institutions:  Division of Computational Biology, Department of Integrative Biomedical Sciences and Institute of Infectious Diseases and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa. Department of Biological Sciences, University of Botswana, Gaborone, Botswana. Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. Faculté de Médecine et d'Odontostomatologie, USTTB, Bamako, Mali. Division of Human Genetics, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa. Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada. Neurology Research Group, Neurosciences Institute, University of Cape Town, Cape Town, South Africa. McKusick-Nathans Institute & Department of Genetic Medicine, Johns Hopkins University School of Medicine, N. Broadway, Baltimore, MD . Botswana-Baylor Children's Clinical Centre of Excellence, Gaborone, Botswana. Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD . Department of Medical Laboratory Sciences, Faculty of Health Sciences, University of Buea, Buea, Cameroon.

Abstract summary 

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 the variants are associated with many traits and diseases, and some of these associations may be population-specific owing to allele frequency differences. 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.

Authors & Co-authors:  Sinkala Musalula M Retshabile Gaone G Mpangase Phelelani T PT Bamba Salia S Goita Modibo K MK Nembaware Vicky V Elsheikh Samar S M SSM Heckmann Jeannine J Esoh Kevin K Matshaba Mogomotsi M Adebamowo Clement A CA Adebamowo Sally N SN Amih Ofon Elvis OE Wonkam Ambroise A Ramsay Michele M Mulder Nicola N

Study Outcome 

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Citations :  Toth R. et al. Genetic Variants in Epigenetic Pathways and Risks of Multiple Cancers in the GAME-ON Consortium. Cancer Epidemiol Biomarkers Prev 26, 816–825 (2017).
Authors :  16
Identifiers
Doi : 2024.08.11.24311816
SSN : 
Study Population
Male,Female
Mesh Terms
Other Terms
Study Design
Study Approach
Quantitative
Country of Study
Publication Country
United States