ArticleClinical epigenetics2022
DNA methylation signatures associated with cardiometabolic risk factors in children from India and The Gambia: results from the EMPHASIS study.
Article in Clinical epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- The Impact of Nutrition on DNA Methylation: Methodological Challenges in Understanding Cause and Effect.Nutrients · 2026Review
- DNA methylation marks associated with body composition in children from India and the Gambia: findings from the EMPHASIS study.Clinical epigenetics · 2026Article
- DNA Methylation Algorithms of Aging and Incident Cardiovascular Disease: A Prospective Cohort Study.Journal of the American Heart Association · 2025Article
- Associations of DNA Methylation Algorithms of Aging With Cardiovascular Disease and Mortality Risk Among US Older Adults.Journal of the American Heart Association · 2025Article
- Blood-Based DNA Methylation Biomarkers to Identify Risk and Progression of Cardiovascular Disease.International journal of molecular sciences · 2025Review
- DNA Methylation Is a Potential Biomarker for Cardiometabolic Health in Mexican Children and Adolescents.Epigenomes · 2023Article
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Authors and funding
15 authors at 6 institutions in 3 countries.
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Abstract
backgroundThe prevalence of cardiometabolic disease (CMD) is rising globally, with environmentally induced epigenetic changes suggested to play a role. Few studies have investigated epigenetic associations with CMD risk factors in children from low- and middle-income countries. We sought to identify associations between DNA methylation (DNAm) and CMD risk factors in children from India and The Gambia.
resultsUsing the Illumina Infinium HumanMethylation 850 K Beadchip array, we interrogated DNAm in 293 Gambian (7-9 years) and 698 Indian (5-7 years) children. We identified differentially methylated CpGs (dmCpGs) associated with systolic blood pressure, fasting insulin, triglycerides and LDL-Cholesterol in the Gambian children; and with insulin sensitivity, insulinogenic index and HDL-Cholesterol in the Indian children. There was no overlap of the dmCpGs between the cohorts. Meta-analysis identified dmCpGs associated with insulin secretion and pulse pressure that were different from cohort-specific dmCpGs. Several differentially methylated regions were associated with diastolic blood pressure, insulin sensitivity and fasting glucose, but these did not overlap with the dmCpGs. We identified significant cis-methQTLs at three LDL-Cholesterol-associated dmCpGs in Gambians; however, methylation did not mediate genotype effects on the CMD outcomes.
conclusionThis study identified cardiometabolic biomarkers associated with differential DNAm in Indian and Gambian children. Most associations were cohort specific, potentially reflecting environmental and ethnic differences.
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