Abstract | BACKGROUND: In 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. METHODS: RESULTS: For each of the 10 different traits assessed, we found strong evidence of an incremental trend across deciles (all P<0.0001). Large differences were identified when comparing top and bottom deciles; for example, using the apolipoprotein B polygenic risk scores there was a mean difference of 13.2 mg/dL for this established risk factor of coronary heart disease in later life. CONCLUSIONS: Although 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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Authors | Tom G Richardson, Katie O'Nunain, Caroline L Relton, George Davey Smith |
Journal | Arteriosclerosis, thrombosis, and vascular biology
(Arterioscler Thromb Vasc Biol)
Vol. 42
Issue 3
Pg. 362-365
(03 2022)
ISSN: 1524-4636 [Electronic] United States |
PMID | 35045726
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
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Topics |
- Biological Specimen Banks
- Biomarkers
(blood)
- Cardiometabolic Risk Factors
- Child
- Cohort Studies
- Female
- Genetic Variation
- Genome-Wide Association Study
- Humans
- Linear Models
- Linkage Disequilibrium
- Longitudinal Studies
- Male
- Multifactorial Inheritance
- United Kingdom
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