4.6 Article

DNA methylation biomarkers of myocardial infarction and cardiovascular disease

Journal

CLINICAL EPIGENETICS
Volume 13, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13148-021-01078-6

Keywords

DNA methylation; Epigenome-wide association study; Predictive biomarkers; Myocardial infarction; Cardiovascular disease

Funding

  1. Carlos III Health Institute-European Regional Development Fund [FIS PI18/00017, FIS PI15/00051, PI12/00232]
  2. PERIS from Agencia de Gestio d'Ajuts Universitaris i de Recerca [SLT002/16/00088]
  3. Government of Catalonia through the Agency for Management of University and Research Grants [2014SGR240, 2017SGR946]
  4. Spanish Ministry of Economy and Competitiveness [BES-2014-069718]
  5. Carlos III Health Institute-FEDER [IFI14/00007]
  6. National Heart, Lung, and Blood Institute (NHLBI)
  7. Boston University [N01-HC-25195, HHSN268201500001I]
  8. NHLBI [N01WH22110, 24152, 32100-2, 32105-6, 32108-9, 32111-13, 32115, 32118-32119, 32122, 42107-26, 42129-32, 44221]

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A study identified 34 CpGs related to acute myocardial infarction, with four of them also associated with incident coronary and cardiovascular disease. However, these loci did not provide additional predictive information.
Background: The epigenetic landscape underlying cardiovascular disease (CVD) is not completely understood and the clinical value of the identified biomarkers is still limited. We aimed to identify differentially methylated loci associated with acute myocardial infarction (AMI) and assess their validity as predictive and causal biomarkers. Results: We designed a case-control, two-stage, epigenome-wide association study on AMI (n(discovery) = 391, n(validation) = 204). DNA methylation was assessed using the Infinium MethylationEPIC BeadChip. We performed a fixed-effects meta-analysis of the two samples. 34 CpGs were associated with AMI. Only 12 of them were available in two independent cohort studies (n similar to 1800 and n similar to 2500) with incident coronary and cardiovascular disease (CHD and CVD, respectively). The Infinium HumanMethylation450 BeadChip was used in those two studies. Four of the 12 CpGs were validated in association with incident CHD: AHRR-mapping cg05575921, PTCD2-mapping cg25769469, intergenic cg21566642 and MPO-mapping cg04988978. We then assessed whether methylation risk scores based on those CpGs improved the predictive capacity of the Framingham risk function, but they did not. Finally, we aimed to study the causality of those associations using a Mendelian randomization approach but only one of the CpGs had a genetic influence and therefore the results were not conclusive. Conclusions: We have identified 34 CpGs related to AMI. These loci highlight the relevance of smoking, lipid metabolism, and inflammation in the biological mechanisms related to AMI. Four were additionally associated with incident CHD and CVD but did not provide additional predictive information.

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