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Epigenetic Age Acceleration in the Emerging Burden of Cardiometabolic Diseases Among Migrant and Non-migrant African Populations: the Population Based Cross-sectional RODAM Study

Abstract

Background: African populations are experiencing health transitions due to rapid urbanization and international migration. However, the role of biological aging in this emerging burden of cardiometabolic diseases (CMD) among migrant and non-migrant Africans is unknown. We aimed to examine differences in epigenetic age acceleration (EAA) as measured by four clocks (Horvath, Hannum, PhenoAge and GrimAge) and their associations with cardiometabolic factors among migrant Ghanaians in Europe and non-migrant Ghanaians.

Methods: Genome-wide DNA methylation (DNAm) data of 712 Ghanaians from cross-sectional RODAM study were used to quantify EAA. We assessed correlation of DNAmAge measures with chronological age, and then performed linear regressions to determine associations of body mass index (BMI), fasting blood glucose (FBG), blood pressure, alcohol consumption, smoking, physical activity, and one-carbon metabolism nutrients with EAA among migrant and non-migrants. We replicated our findings among 172 rural-urban sibling pairs from India migration study and among 120 native South Africans from PURE-SA-NW study.

Findings: We found that Ghanaian migrants have lower EAA than non-migrants. Within migrants, higher FBG was positively associated with EAA measures. Within non-migrants, higher BMI, and Vitamin B9 (folate) intake were negatively associated with EAA measures. Our findings on FBG, BMI and folate were replicated in the independent cohorts.

Interpretation: Our study shows that migration is negatively associated with EAA among Ghanaians. Moreover, cardiometabolic factors are differentially associated with EAA within migrant and non-migrant subgroups. Our results call for context-based interventions for CMD among transitioning populations that account for effects of biological aging.

Funding: European Commission.

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References
1.
Levine M, Hosgood H, Chen B, Absher D, Assimes T, Horvath S . DNA methylation age of blood predicts future onset of lung cancer in the women's health initiative. Aging (Albany NY). 2015; 7(9):690-700. PMC: 4600626. DOI: 10.18632/aging.100809. View

2.
Manthey K, Rodriguez-Melendez R, Hoi J, Zempleni J . Riboflavin deficiency causes protein and DNA damage in HepG2 cells, triggering arrest in G1 phase of the cell cycle. J Nutr Biochem. 2005; 17(4):250-6. PMC: 1407763. DOI: 10.1016/j.jnutbio.2005.05.004. View

3.
Horvath S, Gurven M, Levine M, Trumble B, Kaplan H, Allayee H . An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease. Genome Biol. 2016; 17(1):171. PMC: 4980791. DOI: 10.1186/s13059-016-1030-0. View

4.
Lim S, Vos T, Flaxman A, Danaei G, Shibuya K, Adair-Rohani H . A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012; 380(9859):2224-60. PMC: 4156511. DOI: 10.1016/S0140-6736(12)61766-8. View

5.
Manne-Goehler J, Baisley K, Vandormael A, Barnighausen T, Tanser F, Herbst K . BMI and All-Cause Mortality in a Population-Based Cohort in Rural South Africa. Obesity (Silver Spring). 2020; 28(12):2414-2423. PMC: 7686076. DOI: 10.1002/oby.23005. View