Evidence map›Paper›PMID 40079315›Full record

ArticleJournal of the American Heart Association2025

Multi-Trait Polygenic Risk Score, Nongenetic Determinants, and Cardiovascular Disease Death: A Cohort Study of 14 086 Japanese Individuals.

Ryosuke Fujii, Mako Nagayoshi, Masahiro Nakatochi, Shuntaro Sato, Yoshiki Tsuboi, Koji Suzuki, Hiroaki Ikezaki, Yuichiro Nishida, Yoko Kubo, Shiroh Tanoue and 9 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

19 authors.

Ryosuke FujiiDepartment of Preventive Medical Sciences Fujita Health University School of Medical Sciences Toyoake Japan.ORCID 0000-0003-1730-2059
Mako NagayoshiDepartment of Preventive Medicine Nagoya University Graduate School of Medicine Nagoya Japan.ORCID 0000-0002-1196-146X
Masahiro NakatochiPublic Health Informatics Unit, Department of Integrated Health Sciences Nagoya University Graduate School of Medicine Nagoya Japan.ORCID 0000-0002-1838-4837
Shuntaro SatoClinical Research Center Nagasaki University Hospital Nagasaki Japan.ORCID 0000-0002-6055-3649
Yoshiki TsuboiDepartment of Preventive Medical Sciences Fujita Health University School of Medical Sciences Toyoake Japan.ORCID 0000-0001-8145-3949
Koji SuzukiDepartment of Preventive Medical Sciences Fujita Health University School of Medical Sciences Toyoake Japan.ORCID 0000-0002-3235-9558
Hiroaki IkezakiDepartment of Environmental Medicine and Infectious Disease, Graduate School of Medical Sciences Kyushu University Fukuoka Japan.ORCID 0000-0002-6677-6341
Yuichiro NishidaDepartment of Preventive Medicine, Faculty of Medicine Saga University Saga Japan.ORCID 0000-0003-2320-7234
Yoko KuboDepartment of Preventive Medicine Nagoya University Graduate School of Medicine Nagoya Japan.ORCID 0009-0007-8390-0299
Shiroh TanoueDepartment of Epidemiology and Preventive Medicine Kagoshima University Graduate School of Medical and Dental Sciences Kagoshima Japan.ORCID 0000-0003-2625-2698
Sadao SuzukiDepartment of Public Health Nagoya City University Graduate School of Medical Sciences Nagoya Japan.ORCID 0000-0001-5988-4849
Teruhide KoyamaDepartment of Epidemiology for Community Health and Medicine Kyoto Prefectural University of Medicine Kyoto Japan.ORCID 0000-0002-8161-368X
Kiyonori KurikiLaboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences University of Shizuoka Shizuoka Japan.ORCID 0000-0003-4301-6566
Naoyuki TakashimaDepartment of Epidemiology for Community Health and Medicine Kyoto Prefectural University of Medicine Kyoto Japan.ORCID 0000-0002-9593-6797
Sakurako Katsuura-KamanoDepartment of Preventive Medicine Tokushima University Graduate School of Biomedical Sciences Tokushima Japan.ORCID 0000-0002-9582-674X
Yukihide MomozawaLaboratory for Genotyping Development Center for Integrative Medical Sciences, RIKEN Yokohama Kanagawa Japan.
Kenji WakaiDepartment of Preventive Medicine Nagoya University Graduate School of Medicine Nagoya Japan.
Keitaro MatsuoDivision of Cancer Information and Control Aichi Cancer Center Research Institute Nagoya Japan.ORCID 0000-0003-1761-6314
J‐MICC Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough utility of composite trait-specific polygenic risk score (multi-trait PRS) has been examined among European ancestries, few studies investigated among East Asians and incorporated modifiable risk factors. We examined the associations of multi-trait PRS for cardiometabolic factors with cardiovascular disease mortality by integrating nongenetic determinants.

methodsA total of 14 086 Japanese participants (mean age, 55±9; 55.8% women) of the J-MICC (Japan Multi-Institutional Collaborative Cohort) study were analyzed in this study. We calculated 6 PRSs for cardiometabolic traits (systolic blood pressure, body mass index, triglycerides, low-density lipoprotein cholesterol, estimated glomerular filtration rate, and hemoglobin A1c). Based on these PRSs, we developed multi-trait PRS and considered as a primary exposure. Three nongenetic factors (smoking, alcohol drinking, and educational attainment) from the self-reported questionnaire were also examined.

resultsDuring a median 12.1-year follow-up period, a total of 472 all-cause and 79 cardiovascular disease mortality cases were documented. Compared with 0% to 90% of multi-trait PRSs, an adjusted hazard ratio (HR) among the top 10% of multi-trait PRSs was 1.32 (95% CI, 1.00-1.73) for all-cause death and 2.63 (95% CI, 1.48-4.67) for cardiovascular disease death. Incorporation of educational attainment with multi-trait PRSs showed null associations in those who went beyond high school (HR, 2.07 [95% CI, 0.44-9.66]) even in the top 10% of multi-trait PRS.

conclusionsOur analysis combining both genetic and nongenetic determinants highlighted that lifestyle factors and educational attainment can slightly reduce an individual's composite genetic risk for cardiovascular disease death.

Indexed as

Cardiovascular DiseasesMultifactorial InheritanceAdultAgedAlcohol DrinkingBlood PressureBody Mass IndexCause of DeathEast Asian PeopleEducational StatusFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansJapanMalecardiovascular diseasegenetic epidemiologygenome‐wide association studynongenetic determinantspolygenic risk score

Identifiers

PMID40079315
PMCPMC12132758

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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.