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Whole-Genome Sequencing to Characterize Monogenic and Polygenic Contributions in Patients Hospitalized With Early-Onset Myocardial Infarction.

Citation
Khera, A., et al. “Whole-Genome Sequencing To Characterize Monogenic And Polygenic Contributions In Patients Hospitalized With Early-Onset Myocardial Infarction.”. Circulation, pp. 1593-1602.
Center UCSD-UCLA
Author Amit Khera V, Mark Chaffin, Seyedeh M Zekavat, Ryan L Collins, Carolina Roselli, Pradeep Natarajan, Judith H Lichtman, Gail D'Onofrio, Jennifer Mattera, Rachel Dreyer, John A Spertus, Kent D Taylor, Bruce M Psaty, Stephen S Rich, Wendy Post, Namrata Gupta, Stacey Gabriel, Eric Lander, Yii-Der Ida Chen, Michael E Talkowski, Jerome I Rotter, Harlan M Krumholz, Sekar Kathiresan
Keywords Genetics, humans, hypercholesterolemia, myocardial infarction, risk
Abstract

BACKGROUND: The relative prevalence and clinical importance of monogenic mutations related to familial hypercholesterolemia and of high polygenic score (cumulative impact of many common variants) pathways for early-onset myocardial infarction remain uncertain. Whole-genome sequencing enables simultaneous ascertainment of both monogenic mutations and polygenic score for each individual.

METHODS: We performed deep-coverage whole-genome sequencing of 2081 patients from 4 racial subgroups hospitalized in the United States with early-onset myocardial infarction (age ≤55 years) recruited with a 2:1 female-to-male enrollment design. We compared these genomes with those of 3761 population-based control subjects. We first identified individuals with a rare, monogenic mutation related to familial hypercholesterolemia. Second, we calculated a recently developed polygenic score of 6.6 million common DNA variants to quantify the cumulative susceptibility conferred by common variants. We defined high polygenic score as the top 5% of the control distribution because this cutoff has previously been shown to confer similar risk to that of familial hypercholesterolemia mutations.

RESULTS: The mean age of the 2081 patients presenting with early-onset myocardial infarction was 48 years, and 66% were female. A familial hypercholesterolemia mutation was present in 36 of these patients (1.7%) and was associated with a 3.8-fold (95% CI, 2.1-6.8; P<0.001) increased odds of myocardial infarction. Of the patients with early-onset myocardial infarction, 359 (17.3%) carried a high polygenic score, associated with a 3.7-fold (95% CI, 3.1-4.6; P<0.001) increased odds. Mean estimated untreated low-density lipoprotein cholesterol was 206 mg/dL in those with a familial hypercholesterolemia mutation, 132 mg/dL in those with high polygenic score, and 122 mg/dL in those in the remainder of the population. Although associated with increased risk in all racial groups, high polygenic score demonstrated the strongest association in white participants ( P for heterogeneity=0.008).

CONCLUSIONS: Both familial hypercholesterolemia mutations and high polygenic score are associated with a >3-fold increased odds of early-onset myocardial infarction. However, high polygenic score has a 10-fold higher prevalence among patients presents with early-onset myocardial infarction.

CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov . Unique identifier: NCT00597922.

Year of Publication
2019
Journal
Circulation
Volume
139
Issue
13
Number of Pages
1593-1602
Date Published
12/2019
ISSN Number
1524-4539
DOI
10.1161/CIRCULATIONAHA.118.035658
Alternate Journal
Circulation
PMID
30586733
PMCID
PMC6433484
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