Felix P Chilunga1, Peter Henneman2, Andrea Venema2, Karlijn Ac Meeks3, Juan R Gonzalez4, Carlos Ruiz-Arenas4, Ana Requena-Méndez4,5, Erik Beune1, Joachim Spranger6, Liam Smeeth7, Silver Bahendeka8, Ellis Owusu-Dabo9, Kerstin Klipstein-Grobusch10,11, Adebowale Adeyemo3, Marcel Mam Mannens2, Charles Agyemang1. 1. Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands. 2. Department of Clinical Genetics, Amsterdam Reproduction & Development Research Institute, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands. 3. Center for Research on Genomics & Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20894, USA. 4. Barcelona Institute for Global Health (ISGlobal, University of Barcelona), 08003 Barcelona, Spain. 5. Department of Global Public Health, Karolinska Institutet, SE-171 77 Stockholm, Sweden. 6. Department of Endocrinology, Diabetes & Metabolism, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany. 7. Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, 1E 7HT, UK. 8. Department of Medicine, MKPGMS-Uganda Martyrs University, 8H33+5M Kampala, Uganda. 9. School of Public Health, Kwame Nkrumah University of Science & Technology, MCFH+R9 Kumasi, Ghana. 10. Julius Global Health, Julius Center for Health Sciences & Primary Care, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, The Netherlands. 11. Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of The Witwatersrand, 2193 Johannesburg, South Africa.
Abstract
Aim: We assessed epigenome-wide DNA methylation (DNAm) differences between migrant and non-migrant Ghanaians. Materials & methods: We used the Illumina Infinium® HumanMethylation450 BeadChip to profile DNAm of 712 Ghanaians in whole blood. We used linear models to detect differentially methylated positions (DMPs) associated with migration. We performed multiple post hoc analyses to validate our findings. Results: We identified 13 DMPs associated with migration (delta-beta values: 0.2-4.5%). Seven DMPs in CPLX2, EIF4E3, MEF2D, TLX3, ST8SIA1, ANG and CHRM3 were independent of extrinsic genomic influences in public databases. Two DMPs in NLRC5 were associated with duration of stay in Europe among migrants. All DMPs were biologically linked to migration-related factors. Conclusion: Our findings provide the first insights into DNAm differences between migrants and non-migrants.
Aim: We assessed epigenome-wide DNA methylation (DNAm) differences between migrant and non-migrant Ghanaians. Materials & methods: We used the Illumina Infinium® HumanMethylation450 BeadChip to profile DNAm of 712 Ghanaians in whole blood. We used linear models to detect differentially methylated positions (DMPs) associated with migration. We performed multiple post hoc analyses to validate our findings. Results: We identified 13 DMPs associated with migration (delta-beta values: 0.2-4.5%). Seven DMPs in CPLX2, EIF4E3, MEF2D, TLX3, ST8SIA1, ANG and CHRM3 were independent of extrinsic genomic influences in public databases. Two DMPs in NLRC5 were associated with duration of stay in Europe among migrants. All DMPs were biologically linked to migration-related factors. Conclusion: Our findings provide the first insights into DNAm differences between migrants and non-migrants.
Entities:
Keywords:
DNA methylation; RODAM study; migrants; noncommunicable diseases; sub-Saharan Africans
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