ArticleArteriosclerosis, thrombosis, and vascular biology2022
Harnessing Whole Genome Polygenic Risk Scores to Stratify Individuals Based on Cardiometabolic Risk Factors and Biomarkers at Age 10 in the Lifecourse-Brief Report.
Article in Arteriosclerosis, thrombosis, and vascular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 7 citations in OpenAlex.
- Combining polygenic risk scores to understand genetic liability to physical-mental health multimorbidity in UK Biobank.Human molecular genetics · 2026Article
- Genetic variation and elevated liver enzymes during childhood, adolescence and early adulthood.International journal of epidemiology · 2023Article
- Single-cell genomics meets human genetics.Nature reviews. Genetics · 2023Review
- Editorial on polygenic risk scores: Colloquium held at the Centre for Personalised Medicine, Oxford.Cambridge prisms. Precision medicine · 2023Article
- Genetic Determinants of 25-Hydroxyvitamin D Concentrations and Their Relevance to Public Health.Nutrients · 2022Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 2 countries.
Funding
Abstract
backgroundIn this study, we investigated the capability of polygenic risk scores to stratify a cohort of young individuals into risk deciles based on 10 different cardiovascular traits and circulating biomarkers.
methodsWe first conducted large-scale genome-wide association studies using data on adults (mean age 56.5 years) enrolled in the UK Biobank study (n=393 193 to n=461 460). Traits and biomarkers analyzed were body mass index, systolic blood pressure, diastolic blood pressure, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, apolipoprotein B, apolipoprotein A-I, C-reactive protein and vitamin D. Findings were then leveraged to build whole genome polygenic risk scores in participants from the Avon Longitudinal Study of Parents and Children (mean age, 9.9 years) which were used to stratify this cohort into deciles in turn and analyzed against their respective traits.
resultsFor each of the 10 different traits assessed, we found strong evidence of an incremental trend across deciles (all
conclusionsAlthough the use of polygenic prediction in a clinical setting may currently be premature, our findings suggest they are becoming increasingly powerful as a means of predicting complex trait variation at an early stage in the lifecourse.
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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.