Evidence map›Paper›PMID 42574371›Full record

ArticlePloS one2026

Genetic predisposition to high blood pressure and out-of-office hypertension: Insights from a population sample in liechtenstein.

Sukrit Narula, Pedrum Mohammadi-Shemirani, Stefanie Aeschbacher, Michael R Chong, Ann Le, Sébastien Thériault, Kirsten Grossman, Guillaume Paré, Lorenz Risch, Martin Risch and 1 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Sukrit NarulaDepartment of Internal Medicine, Yale University, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0003-3006-1229
Pedrum Mohammadi-ShemiraniTakeda Pharmaceuticals, Cambridge, Massachusetts, United States of America.
Stefanie AeschbacherDepartment of Medicine, Division of Cardiology, University Hospital Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0001-8134-2421
Michael R ChongPopulation Health Research Institute, Hamilton, Ontario, Canada.
Ann LePopulation Health Research Institute, Hamilton, Ontario, Canada.ORCID https://orcid.org/0009-0007-7683-0480
Sébastien ThériaultDepartment of Molecular Biology, Medical Biochemistry and Pathology, Faculty of Medicine, Université Laval, Québec City, Québec, Canada.
Kirsten GrossmanFaculty of Medical Sciences, Private University Triesen, Triesen, Liechtenstein.
Guillaume ParéDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Lorenz RischCenter of Laboratory Medicine, University Institute of Clinical Chemistry, University of Bern, Bern, Switzerland.
Martin RischDr Risch Medical Laboratory, Vaduz, Liechtenstein.
David ConenDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic predisposition is a risk factor for office hypertension. We sought to determine whether genetic predisposition identifies individuals with ambulatory daytime hypertension. 1444 participants from the GAPP study (ages 25-41) were analyzed. We evaluated two measures of predisposition to hypertension: family history and polygenic risk scores (PRS). We evaluated correlation of predisposition with blood pressure traits and compared incremental value of each predisposition measure to a validated ambulatory BP prediction model. 12% of participants had office hypertension, while 37% had out-of-office hypertension. The correlation between PRS and family history of hypertension was low (R2 = 4.96x10-3), but both were strongly associated with ambulatory blood pressure (2.2 mmHg per 1 SD increase [95% CI: 1.6, 2.7] & 2.4 mmHg increase with positive family history [95% CI: 1.3, 3.4], respectively). PRS provides incremental improvement predicting ambulatory systolic blood pressure beyond a validated blood pressure prediction score (ΔAIC = -33), whereas family history does not (ΔAIC = 1). The difference between a baseline prediction algorithm for identifying ambulatory systolic hypertension (positive likelihood ratio of 6.87 [95% CI: 5.56, 8.49]; negative likelihood ratio of 0.45 [95% CI: 0.39, 0.51]) and the same model with PRS integrated (positive likelihood ratio of 7.69 [95% CI: 6.18, 9.57]; negative likelihood ratio of 0.43 [95% CI: 0.37, 0.49]) was modest. In a white European sample from Liechtenstein, PRS provides incremental information in identification of individuals with ambulatory hypertension, unlike family history. However, these gains are modest and warrant further development to improve predictive utility at the point-of-care.

Indexed as

Genetic Predisposition to DiseaseHypertensionAdultBlood PressureBlood Pressure Monitoring, AmbulatoryFemaleGenetic Risk ScoreHumansMaleRisk Factors

Identifiers

PMID42574371
PMCPMC13456266

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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.