Evidence map›Paper›PMID 40804164›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2025

Associations of family history of hypertension, genetic, and lifestyle risks with incident hypertension.

Masato Takase, Takumi Hirata, Naoki Nakaya, Mana Kogure, Rieko Hatanaka, Kumi Nakaya, Ippei Chiba, Sayuri Tokioka, Kotaro Nochioka, Tomohiro Nakamura and 21 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Current hypertension epidemiology and contemporary approaches using the "Real-World Evidence Cycle" framework.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Review
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors.

Masato TakaseGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan. masato.takase.c3@tohoku.ac.jp.
Takumi HirataTohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.
Naoki NakayaGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Mana KogureGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Rieko HatanakaGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Kumi NakayaGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Ippei ChibaGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Sayuri TokiokaGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Kotaro NochiokaGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Tomohiro NakamuraTohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.
Naho TsuchiyaGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Hirohito MetokiTohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.
Michihiro SatohTohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.
Akira NaritaGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Taku ObaraGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Mami IshikuroGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Hisashi OhsetoGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Ippei TakahashiGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Tomoko KobayashiGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Eiichi N KodamaTohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.
Yohei HamanakaGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Masatsugu OruiGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Soichi OgishimaGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Satoshi NagaieGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Nobuo FuseGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Junichi SugawaraGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Shinichi KuriyamaGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Gen TamiyaGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Atsushi HozawaGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
Masayuki YamamotoGraduate School of Medicine, Tohoku University, Sendai, Miyagi, Japan.
ToMMo investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Family history of hypertension may reflect genetic and lifestyle factors. Genetic risk can be assessed using polygenic risk score (PRS); however, whether PRS can stratify hypertension risk when combined with family history and lifestyle information is unclear. This prospective cohort study included 9,001 hypertension-free individuals aged ≥20 years from the Tohoku Medical Megabank Community-Based Cohort Study. Participants were scored on lifestyle factors, including body mass index, urinary sodium-to-potassium ratio, physical activity, alcohol consumption, and smoking at recruitment. During the mean follow-up of 4.3 years, 2822 (31.4%) cases of hypertension occurred. High genetic risk and poor lifestyle were associated with increased hypertension risk. Compared with participants with low genetic risk, ideal lifestyle, and no family history, high genetic risk significantly increased hypertension risk, even among those with ideal lifestyle and no family history (relative risk [RR] 1.28 [95% confidence interval [CI] 1.11-1.46]). Participants with low PRS, ideal lifestyle, but with family history had increased hypertension risk (RR 1.32 [95%CI 1.11-1.57]). Poor lifestyle increased hypertension risk across most genetic risk groups, regardless of family history. Integrating PRS into models with family history and lifestyle risk significantly improved predictive accuracy (area under the curve: 0.671 for family history and lifestyle risk and 0.674 for PRS integrated; P for difference <0.05). Integrating PRS with lifestyle and family history enhances the stratification of individuals at high risk for hypertension.

Indexed as

HypertensionLife StyleAdultAgedFemaleGenetic Predisposition to DiseaseHumansIncidenceMaleMiddle AgedProspective StudiesRisk FactorsFamily HistoryHypertensionImplemental hypertensionLifestyle RiskPolygenic Risk Score

Identifiers

PMID40804164
PMCPMC12497643

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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.