Evidence map›Paper›PMID 41444827›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2026

Integration of polygenic risk score with measured blood pressure reveals hidden risks of cardiovascular disease mortality: A Japanese prospective cohort study.

Hiroshi Okumiyama, Ryosuke Fujii, Mako Nagayoshi, Masahiro Nakatochi, Yoshiki Tsuboi, Koji Suzuki, Hiroaki Ikezaki, Takuma Furukawa, Rieko Okada, Shiroh Tanoue and 12 more

Abstract read
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In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Clinical implementation of polygenic risk scores based on GWAS in the management of hypertension among Asian populations.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Hiroshi Okumiyama *Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, 470-1192, Japan.
Ryosuke Fujii *Department of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, 470-1192, Japan. rfujii@fujita-hu.ac.jp.
Mako NagayoshiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Masahiro NakatochiPublic Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, 1-1-20 Daikominami, Higashi-ku, Nagoya, 461-8673, Japan.
Yoshiki TsuboiDepartment of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, 470-1192, Japan.
Koji SuzukiDepartment of Preventive Medical Sciences, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, 470-1192, Japan.
Hiroaki IkezakiDepartment of General Internal Medicine, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Takuma FurukawaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga, 849-8501, Japan.
Rieko OkadaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Shiroh TanoueDepartment of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Sadao SuzukiDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, 467-8601, Japan.
Teruhide KoyamaDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto, 602-8566, Japan.
Kiyonori KurikiLaboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan.
Naoyuki TakashimaDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto, 602-8566, Japan.
Takeshi WatanabeDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, 3-18-15 Kuramoto-cho, Tokushima, 770-8503, Japan.
Asahi HishidaDepartment of Public Health, Aichi Medical University, 1-1 Yazakokarimata, Nagakute, Aichi, 480-1195, Japan.
Yukihide MomozawaLaboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan.
Mika Yageta SakuraiTohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
Atsushi ShimizuDivision of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, 1-1-1, Idaidori, Yahaba-cho, Shiwa-gun, 028-3694, Japan.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Keitaro MatsuoDivision of Cancer Information and Control, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, 464-8681, Japan.
J-MICC Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although previous studies reported that BP PRS is associated with CVD, it is less explored whether BP PRS and BP are jointly associated with CVD, especially among non-European populations. Therefore, we examined joint associations of BP control and BP polygenic risk score (PRS) with CVD mortality in a Japanese population. Data were obtained from the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study, the multi-centered cohort study with 14 study areas throughout Japan. Of which, we analyzed ~35,000 Japanese individuals (Mean age: 55 years old, Men: 44%) with measured BP data (11,242 and 23,904 participants in subgroup #1 and #2). We developed PRS for systolic blood pressure (SBP) and diastolic blood pressure (DBP) in each subgroup. Participants were followed up from the baseline survey (2005-2014) to the end of 2020. Not elevated BP was defined as SBP ≤ 140 mmHg or DBP ≤ 90 mmHg regardless of antihypertensive medications. During the follow-up period, a total of 381 CVD deaths were observed. Compared with not elevated BP, HRs (95% CI) of CVD mortality were 1.98 (1.37-2.88) for elevated SBP and 2.41 (1.66-3.49) for elevated DBP. Compared to not elevated BP in the lowest PRS tertile, HRs (95% CI) of CVD mortality in the highest PRS tertile were 2.28 (1.17-4.43) for SBP and 3.08 (1.61-5.91) for DBP even though BP was not elevated. These associations in the subgroup #1 were replicated in the subgroup #2. Our findings highlighted the importance of BP PRS to detect a hidden CVD risk strata in addition to laboratory BP measurements.

Indexed as

Blood PressureCardiovascular DiseasesHypertensionMultifactorial InheritanceAdultAgedEast Asian PeopleFemaleGenetic Risk ScoreHumansJapanMaleMiddle AgedProspective StudiesRisk FactorsBlood pressureCardiovascular diseaseHypertensionImplemental hypertensionPolygenic risk score

Identifiers

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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 Socratic graph.