Evidence map›Paper›PMID 40672480›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Polygenic prediction of cardiorespiratory fitness: The HUNT Study.

Karsten Øvretveit, Marie Klevjer, Ben M Brumpton, Ulrik Wisløff, Kristian Hveem, Anja Bye

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Karsten ØvretveitHUNT Center for Molecular and Clinical Epidemiology (MCE), Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.ORCID 0000-0002-5528-0674
Marie KlevjerCardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.ORCID 0000-0001-8372-276X
Ben M BrumptonHUNT Center for Molecular and Clinical Epidemiology (MCE), Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.ORCID 0000-0002-3058-1059
Ulrik WisløffCardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.ORCID 0000-0002-7211-3587
Kristian HveemHUNT Center for Molecular and Clinical Epidemiology (MCE), Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.ORCID 0000-0001-8157-9744
Anja ByeCardiac Exercise Research Group (CERG), Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.ORCID 0000-0003-1259-5542

Funding

Using Genetics to Inform Mechanism of Cardiovascular DiseaseR35HL135824 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILLER, CRISTEN J · 2017 to 2022
$5.4M
NHLBI NIH HHS R35 HL135824
6 · The paper itself

Abstract

Background: Cardiorespiratory fitness (CRF) has a strong genetic component and low CRF is a major risk factor for cardiovascular morbidity and mortality. The purpose of this study was to develop and validate a polygenic score (PGS) for CRF (CRF Methods: Effect estimates from a genome-wide association study on directly measured CRF in the Trøndelag Health Study (HUNT; Results: The PGS-CRF association varied considerably as a function of model fit and phenotypic accuracy. In the target population, we observed a difference in CRF of 1.55 [95% confidence interval: 1.26, 1.84] mL·kg Conclusion: A PGS for CRF derived from gold-standard phenotypes captures small, but potentially clinical meaningful variations in CRF, and is associated with reduced risk of cardiovascular morbidity and mortality. Heterogeneity in CRF phenotyping in large populations remains a challenge to PGS development and refinement.

Identifiers

PMID40672480
PMCPMC12265795

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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 OpenQuestion graph.