Evidence map›Paper›PMID 34994206›Full record

ArticleHypertension (Dallas, Tex. : 1979)2022

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

Michelle L Roberts, Theodore A Kotchen, Xiaoqing Pan, Yingchuan Li, Chun Yang, Pengyuan Liu, Tao Wang, Purushottam W Laud, Thomas H Chelius, Yannick Munyura and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Hypertension (Dallas, Tex. : 1979), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Accelerated epigenetic age in hypertension: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 3 countries.

Michelle L RobertsCenter 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.ORCID 0000-0001-8920-930X
Theodore A KotchenDepartment of Medicine (T.A.K., Y.M., S.K.), Medical College of Wisconsin, Milwaukee.
Xiaoqing PanCenter 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.
Yingchuan LiCenter 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.ORCID 0000-0002-5522-4402
Chun YangCenter 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.
Pengyuan LiuCenter 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.
Tao Wang
Purushottam W LaudDivision of Biostatistics, Institute for Health and Equity (P.W.L.), Medical College of Wisconsin, Milwaukee.
Thomas H CheliusDivision of Epidemiology, Institute for Health and Equity (T.H.C.), Medical College of Wisconsin, Milwaukee.
Yannick MunyuraDepartment of Medicine (T.A.K., Y.M., S.K.), Medical College of Wisconsin, Milwaukee.
David L MattsonDepartment of Physiology, Medical College of Georgia, Augusta (D.L.M.).
Yong Liu
Allen W CowleyCenter 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.ORCID 0000-0002-0801-6248
Srividya KidambiDepartment of Medicine (T.A.K., Y.M., S.K.), Medical College of Wisconsin, Milwaukee.ORCID 0000-0003-1589-5268
Mingyu LiangCenter 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.ORCID 0000-0002-6970-989X
Medical College of Wisconsin · USAugusta University · USYong In University · KR

Funding

Sequencing Coordination and Data Analysis CoreP01HL149620 · NHLBI · UNIVERSITY OF ARIZONA · PI LIANG, MINGYU · 2020 to 2024
$11.8M
SUPPORT FOR THE ROSE F KENNEDY IDDRC P50P50HD105352 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SOPHIE MOLHOLM, Steven Upshaw Walkley · 2021 to 2026
$7.0M
Regulatory RNA in Hypertension and Renal InjuryR01HL121233 · NHLBI · UNIVERSITY OF ARIZONA · PI MINGYU LIANG · 2014 to 2026
$3.8M
NHLBI NIH HHS P01 HL149620NHLBI NIH HHS R01 HL121233NICHD NIH HHS P50 HD105352
6 · The paper itself

Abstract

backgroundEpigenetic 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).

methodsWe examined the association of whole blood DNA methylation with 24-hour BP phenotypes and clinic BPs in a discovery cohort of 281 Blacks 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).

resultsAnalysis 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.

conclusionsWe 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.

Indexed as

DNA MethylationHypertensionBlood PressureCpG IslandsGene-Environment InteractionHumansPhenotypeblood pressureDNA methylationepigeneticshypertension

Identifiers

PMID34994206
PMCPMC8917053
OpenAlexW4205305706

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.