Polygenic Contribution to Low-Density Lipoprotein Cholesterol Levels and Cardiovascular Risk in Monogenic Familial Hypercholesterolemia

Author:

Trinder Mark12,Paquette Martine3,Cermakova Lubomira4,Ban Matthew R.5,Hegele Robert A.5ORCID,Baass Alexis36,Brunham Liam R.1274ORCID

Affiliation:

1. Centre for Heart Lung Innovation (M.T., L.R.B.), University of British Columbia, Vancouver.

2. Experimental Medicine Program (M.T., L.R.B.), University of British Columbia, Vancouver.

3. Nutrition, Metabolism and Atherosclerosis Clinic, Institut de recherches cliniques de Montréal, Quebec (M.P., A.B.).

4. Healthy Heart Program Prevention Clinic, St Paul’s Hospital, Vancouver, British Columbia (L.C., L.R.B.).

5. Departments of Medicine and Biochemistry, Schulich School of Medicine and Dentistry and Robarts Research Institute, Western University, London, ON (M.R.B., R.A.H.).

6. Departments of Medicine, McGill University, Montreal, Quebec, Canada (A.B.).

7. Departments of Medicine and Medical Genetics (L.R.B.), University of British Columbia, Vancouver.

Abstract

Background: Familial hypercholesterolemia (FH) is a common autosomal codominant genetic disorder, which causes elevated levels of low-density lipoprotein cholesterol (LDL-C) and increased risk of premature atherosclerotic cardiovascular disease (ASCVD). Even among individuals with monogenic FH, there is substantial interindividual variability in LDL-C levels and risk of ASCVD. We assessed the influence of an LDL-C polygenic score on levels of LDL-C and risk of ASCVD for individuals with monogenic FH. 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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

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