Unique Associations of DNA Methylation Regions With 24-Hour Blood Pressure Phenotypes in Black Participants

Author:

Roberts Michelle L.1ORCID,Kotchen Theodore A.2,Pan Xiaoqing13,Li Yingchuan14ORCID,Yang Chun1,Liu Pengyuan15,Wang Tao,Laud Purushottam W.6,Chelius Thomas H.7,Munyura Yannick2,Mattson David L.8,Liu Yong,Cowley Allen W.1ORCID,Kidambi Srividya2ORCID,Liang Mingyu1ORCID

Affiliation:

1. Center of Systems Molecular Medicine, Department of Physiology (M.L.R., X.P., Y.L., C.Y., P.L., F.L.M., A.W.C., M.L.), Medical College of Wisconsin, Milwaukee.

2. Department of Medicine (T.A.K., Y.M., S.K.), Medical College of Wisconsin, Milwaukee.

3. Department of Mathematics, Shanghai Normal University, China (X.P.).

4. Department of Critical Care Medicine, Shanghai JiaoTong University affiliated the Sixth People’s Hospital, China (Y.L.).

5. The Sir Run Run Shaw Hospital, Institute of Translational Medicine, Zhejiang University, China (P.L.).

6. Division of Biostatistics, Institute for Health and Equity (P.W.L.), Medical College of Wisconsin, Milwaukee.

7. Division of Epidemiology, Institute for Health and Equity (T.H.C.), Medical College of Wisconsin, Milwaukee.

8. Department of Physiology, Medical College of Georgia, Augusta (D.L.M.).

Abstract

Background: Epigenetic marks (eg, DNA methylation) may capture the effect of gene-environment interactions. DNA methylation is involved in blood pressure (BP) regulation and hypertension development; however, no studies have evaluated its relationship with 24-hour BP phenotypes (daytime, nighttime, and 24-hour average BPs). Methods: We examined the association of whole blood DNA methylation with 24-hour BP phenotypes and clinic BPs in a discovery cohort of 281 Black participants using reduced representation bisulfite sequencing. We developed a deep and region-specific methylation sequencing method, Bisulfite ULtrapLEx Targeted Sequencing and utilized it to validate our findings in a separate validation cohort (n=117). Results: Analysis of 38 215 DNA methylation regions (MRs), derived from 1 549 368 CpG sites across the genome, identified up to 72 regions that were significantly associated with 24-hour BP phenotypes. No MR was significantly associated with clinic BP. Two to 3 MRs were significantly associated with various 24-hour BP phenotypes after adjustment for age, sex, and body mass index. Together, these MRs explained up to 16.5% of the variance of 24-hour average BP, while age, sex, and BMI explained up to 11.0% of the variance. Analysis of one of the MRs in an independent cohort using Bisulfite ULtrapLEx Targeted Sequencing confirmed its association with 24-hour average BP phenotype. Conclusions: We identified several MRs that explain a substantial portion of variances in 24-hour BP phenotypes, which might be excellent markers of cumulative effect of factors influencing 24-hour BP levels. The Bisulfite ULtrapLEx Targeted Sequencing workflow has potential to be suitable for clinical testing and population screenings on a large scale.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Internal Medicine

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