Multi-ancestry epigenome-wide analyses identify methylated sites associated with aortic augmentation index in TOPMed MESA

Author:

Manichaikul Ani1,Hu Xiaowei2,Logan Jeongok2,Kwon Younghoon3,Lima Joao4,Jacobs David5,Duprez Daniel5,Brumback Lyndia3,Taylor Kent6,Durda Peter7,Johnson Craig3,Cornell Elaine7,Guo Xiuqing8,Liu Yongmei9,Tracy Russell7,Blackwell Thomas10,Papanicolaou George11,Mitchell Gary12,Rich Stephen13,Rotter Jerome14,Berg David Van Den15,Chirinos Julio16,Hughes Timothy17,Garrett-Bakelman Francine2

Affiliation:

1. University of Virginia School of Medicine

2. University of Virginia

3. University of Washington

4. Johns Hopkins University

5. University of Minnesota

6. The Institute for Translational Genomics and Population Sciences

7. University of Vermont

8. The Lundquist Institute

9. Duke Medical Center

10. University of Michigan

11. National Heart Lung and Blood Institute

12. Cardiovascular Engineering (United States)

13. Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia

14. The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center

15. University of Southern California

16. University of Pennsylvania

17. Wake Forest School of Medicine

Abstract

Abstract Despite the prognostic value of arterial stiffness (AS) and pulsatile hemodynamics (PH) for cardiovascular morbidity and mortality, epigenetic modifications that contribute to AS/PH remain unknown. To gain a better understanding of the link between epigenetics (DNA methylation) and AS/PH, we examined the relationship of eight measures of AS/PH with CpG sites and co-methylated regions using multi-ancestry participants from Trans-Omics for Precision Medicine (TOPMed) Multi-Ethnic Study of Atherosclerosis (MESA) with sample sizes ranging from 438 to 874. Epigenome-wide association analysis identified one genome-wide significant CpG (cg20711926-CYP1B1) associated with aortic augmentation index (AIx). Follow-up analyses, including gene set enrichment analysis, expression quantitative trait methylation analysis, and functional enrichment analysis on differentially methylated positions and regions, further prioritized three CpGs and their annotated genes (cg23800023-ETS1, cg08426368-TGFB3, and cg17350632-HLA-DPB1) for AIx. Among these, ETS1 and TGFB3 have been previously prioritized as candidate genes. Furthermore, both ETS1 and HLA-DPB1 have significant tissue correlations between Whole Blood and Aorta in GTEx, which suggests ETS1 and HLA-DPB1 could be potential biomarkers in understanding pathophysiology of AS/PH. Overall, our findings support the possible role of epigenetic regulation via DNA methylation of specific genes associated with AIx as well as identifying potential targets for regulation of AS/PH.

Publisher

Research Square Platform LLC

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