ArticleNutrients2023
New Insights into Polygenic Score-Lifestyle Interactions for Cardiometabolic Risk Factors from Genome-Wide Interaction Analyses.
Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
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Who cites it
7 citing papers in PubMed, 6 citations in OpenAlex.
- Polygenic Risk Scores disclosure for cardiovascular prevention: Protocol of the Personalized HeartCare (PHC) trial.PloS one · 2026Trial
- The Role of Next-Generation Sequencing in Cardiovascular Disease: A New Era of Precision Cardiology.Life (Basel, Switzerland) · 2026Review
- Associations of vegetarianism with circulating lipids across varying genetic capacity: a cross-sectional Polygenic Score-by-Vegetarianism interaction study in UK Biobank.medRxiv : the preprint server for health sciences · 2026Article
- Mediterranean diet and obesity polygenic risk interaction on adiposity in European children: The IDEFICS/I.Family Study.Pediatric obesity · 2025Article
- Influence and role of polygenic risk score in the development of 32 complex diseases.Journal of global health · 2025Article
- The role of tribbles homolog 2 in cell proliferation.Cell communication and signaling : CCS · 2025Review
- A Comprehensive Pan-cancer Analysis Identified that TRIB3 was Associated with Immune Cell Infiltration and Poor Prognosis.Current pharmaceutical biotechnology · 2025Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The relationship between lifestyles and cardiometabolic outcomes varies between individuals. In 382,275 UK Biobank Europeans, we investigate how lifestyles interact with polygenic scores (PGS) of cardiometabolic risk factors. We identify six interactions (PGS for body mass index with meat diet, physical activity, sedentary behaviour and insomnia; PGS for high-density lipoprotein cholesterol with sedentary behaviour; PGS for triglycerides with meat diet) in multivariable linear regression models including an interaction term and show stronger associations between lifestyles and cardiometabolic risk factors among individuals with high PGSs than those with low PGSs. Genome-wide interaction analyses pinpoint three genetic variants (
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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.