ArticleJournal of clinical hypertension (Greenwich, Conn.)2016
Prediction of Blood Pressure and Blood Pressure Change With a Genetic Risk Score.
Article in Journal of clinical hypertension (Greenwich, Conn.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 5 of them syntheses that pooled it.
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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.
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Who cites it
22 citing papers in PubMed, 5 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Associations Between Polygenic Risk Score for Blood Pressure and Risk of Hypertension in Northeast Asian Individuals.Journal of the American Heart Association · 2026Pooled it
- Prognostic risk models for incident hypertension: A PRISMA systematic review and meta-analysis.PloS one · 2024Pooled it
- Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis.PloS one · 2022Pooled it
- DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation.American journal of human genetics · 2017Pooled it
- Recent development of risk-prediction models for incident hypertension: An updated systematic review.PloS one · 2017Pooled it
- Genetic Susceptibility, Dietary Protein Intake, and Changes of Blood Pressure: The POUNDS Lost Trial.Hypertension (Dallas, Tex. : 1979) · 2019Trial
- Pathway-specific polygenic risk scores for blood pressure traits in a West African cohort.Frontiers in cardiovascular medicine · 2026Article
- Development and Validation of Polygenic Risk Scores for Blood Pressure Traits in Continental African Populations.Circulation. Genomic and precision medicine · 2025Article
- Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores.Scientific reports · 2024Article
- Development of risk models of incident hypertension using machine learning on the HUNT study data.Scientific reports · 2024Article
- Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores.medRxiv : the preprint server for health sciences · 2023Article
- Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups.Nature communications · 2023Article
- A cardiologist's guide to machine learning in cardiovascular disease prognosis prediction.Basic research in cardiology · 2023Review
- Article
- Evaluating the risk of hypertension in residents in primary care in Shanghai, China with machine learning algorithms.Frontiers in public health · 2022Article
- Identifying the predictive effectiveness of a genetic risk score for incident hypertension using machine learning methods among populations in rural China.Hypertension research : official journal of the Japanese Society of Hypertension · 2021Article
- A risk scoring system to predict the risk of new-onset hypertension among patients with type 2 diabetes.Journal of clinical hypertension (Greenwich, Conn.) · 2021Article
- Polygenic Risk Scores Predict Hypertension Onset and Cardiovascular Risk.Hypertension (Dallas, Tex. : 1979) · 2021Article
- A novel predicted model for hypertension based on a large cross-sectional study.Scientific reports · 2020Article
- A Prediction Model of Essential Hypertension Based on Genetic and Environmental Risk Factors in Northern Han Chinese.International journal of medical sciences · 2019Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The authors investigated whether a genetic risk score (GRS) constructed of 32 single nucleotide polymorphisms would predict incident hypertension and blood pressure (BP) change over time in a population cohort during an 11-year follow-up (n=5402 at baseline, 3266 at follow-up). In multivariable models, GRS was associated with higher systolic/diastolic BP values at baseline (β±standard error [SE], 1.04±0.14/1.11±0.13 mm Hg; P<.0001 for both) and at reinvestigation (β±SE, 0.84±0.18/0.79±0.16 mm Hg; P<.0001 for both). Among participants who were normotensive at baseline (n=2045), GRS was not independently associated with systolic/diastolic BP change over time (β±SE, 0.16±0.18/0.20±0.18 mm Hg; P≥.28 for both). In participants in the top tertile of the GRS, as compared with the bottom tertile, the predicted increase in systolic/diastolic BP was 1.18±0.78/0.70±0.49 mm Hg (P=.046/.15) greater and the odds ratio for incident hypertension was 33% higher (P=.03). These data show that GRS is strongly associated with BP but weakly associated with BP increase and incident hypertension in a late middle-aged population.
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Registered trials
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.