Abstract | BACKGROUND: METHODS: We constructed a weighted LDL-C polygenic score, composed of 28 single- nucleotide variants, for individuals with monogenic FH from the British Columbia FH (n=262); Nutrition, Metabolism and Atherosclerosis Clinic (n=552); and UK Biobank cohorts (n=306). We assessed the association between LDL-C polygenic score with LDL-C levels and ASCVD risk using linear regression and Cox-proportional hazard models, respectively. ASCVD was defined as myocardial infarction, coronary or carotid revascularization, transient ischemic attack, or stroke. The results from individual cohorts were combined in fixed-effect meta-analyses. RESULTS: Levels of LDL-C were significantly associated with LDL-C polygenic score in the Nutrition, Metabolism and Atherosclerosis Clinic cohort, UK Biobank cohort, and in the meta-analysis (β [95% CI]=0.13 [0.072-0.19] per a 20% increase in LDL-C polygenic score percentile, P<0.0001). Additionally, an elevated LDL-C polygenic score (≥80th percentile) was associated with a trend towards increased ASCVD risk in all 3 cohorts individually. This association was statistically significant in the meta-analysis (hazard ratio [95% CI]=1.48 [1.02-2.14], P=0.04). CONCLUSIONS: Polygenic contributions to LDL-C explain some of the heterogeneity in clinical presentation and ASCVD risk for individuals with FH.
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Authors | Mark Trinder, Martine Paquette, Lubomira Cermakova, Matthew R Ban, Robert A Hegele, Alexis Baass, Liam R Brunham |
Journal | Circulation. Genomic and precision medicine
(Circ Genom Precis Med)
Vol. 13
Issue 5
Pg. 515-523
(10 2020)
ISSN: 2574-8300 [Electronic] United States |
PMID | 33079599
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
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Topics |
- Adult
- Cholesterol, LDL
(blood)
- Heart Disease Risk Factors
- Humans
- Hyperlipoproteinemia Type II
(diagnosis, genetics)
- Male
- Middle Aged
- Multifactorial Inheritance
(genetics)
- Polymorphism, Single Nucleotide
- Proportional Hazards Models
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