Cited 5 times in
Prediction of incident atherosclerotic cardiovascular disease with polygenic risk of metabolic disease: Analysis of 3 prospective cohort studies in Korea
DC Field | Value | Language |
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dc.contributor.author | 강신애 | - |
dc.date.accessioned | 2022-12-22T01:59:09Z | - |
dc.date.available | 2022-12-22T01:59:09Z | - |
dc.date.issued | 2022-05 | - |
dc.identifier.issn | 0021-9150 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/191409 | - |
dc.description.abstract | Background and aims: Studies have demonstrated that the risk of atherosclerotic cardiovascular disease (ASCVD) can be assessed by polygenic risk score (PRS) using common genetic variants. Because metabolic syndrome is a well-known, robust risk factor of ASCVD, we established PRS of metabolic disease and analyzed whether this PRS could predict incident ASCVD. Methods: We constructed PRSs for eight quantifiable metabolic phenotypes-systolic/diastolic blood pressure, body mass index (BMI), four blood lipid components, and fasting blood glucose-by genome-wide association studies of two prospective Korean cohorts (n = 37,285). We conducted a grid search of combinations of metabolic PRSs to identify the most optimal weighted score for incident ASCVD (PRSMetS-ASCVD). The utility of PRSMetS-ASCVD was validated in an independent prospective cohort (n = 4333). Results: The individuals in the highest PRS quintile demonstrated a 1.4-2.0-fold increased risk of incident hypertension, obesity, hyperlipidemia, and diabetes. Using the PRSMetS-ASCVD, we identified 6.7% of the population as a high risk group demonstrating a 3.3-fold (95% confidence interval 1.7-6.1, p < 0.001) higher risk for incident ASCVD. The model combining the PRSMetS-ASCVD demonstrated a better performance for predicting ASCVD than that consisting of only conventional risk factors, such as age, sex, BMI, smoking, hypertension, diabetes and hyperlipidemia. The population with high PRSMetS-ASCVD minimally overlapped with that of high Framingham risk score, thus suggesting the additive independent benefits beyond the Framingham risk score, especially in younger individuals. Conclusions: The polygenic risk of metabolic disease independently predicts those at an increased risk of ASCVD, identifying those at a genetically high risk of incident ASCVD. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Elsevier | - |
dc.relation.isPartOf | ATHEROSCLEROSIS | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Atherosclerosis* / diagnosis | - |
dc.subject.MESH | Atherosclerosis* / epidemiology | - |
dc.subject.MESH | Atherosclerosis* / genetics | - |
dc.subject.MESH | Cardiovascular Diseases* / epidemiology | - |
dc.subject.MESH | Cohort Studies | - |
dc.subject.MESH | Genome-Wide Association Study | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Hypertension* | - |
dc.subject.MESH | Metabolic Syndrome* / diagnosis | - |
dc.subject.MESH | Metabolic Syndrome* / epidemiology | - |
dc.subject.MESH | Metabolic Syndrome* / genetics | - |
dc.subject.MESH | Prospective Studies | - |
dc.subject.MESH | Risk Assessment | - |
dc.subject.MESH | Risk Factors | - |
dc.title | Prediction of incident atherosclerotic cardiovascular disease with polygenic risk of metabolic disease: Analysis of 3 prospective cohort studies in Korea | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학교실) | - |
dc.contributor.googleauthor | Han Song | - |
dc.contributor.googleauthor | Youngil Koh | - |
dc.contributor.googleauthor | Tae-Min Rhee | - |
dc.contributor.googleauthor | Su-Yeon Choi | - |
dc.contributor.googleauthor | Shinae Kang | - |
dc.contributor.googleauthor | Seung-Pyo Lee | - |
dc.identifier.doi | 10.1016/j.atherosclerosis.2022.03.021 | - |
dc.contributor.localId | A00052 | - |
dc.relation.journalcode | J00260 | - |
dc.identifier.eissn | 1879-1484 | - |
dc.identifier.pmid | 35390551 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0021915022001538?via%3Dihub | - |
dc.subject.keyword | Atherosclerotic cardiovascular disease | - |
dc.subject.keyword | Metabolic syndrome | - |
dc.subject.keyword | Polygenic risk score | - |
dc.contributor.alternativeName | Kang, Shin Ae | - |
dc.contributor.affiliatedAuthor | 강신애 | - |
dc.citation.volume | 348 | - |
dc.citation.startPage | 16 | - |
dc.citation.endPage | 24 | - |
dc.identifier.bibliographicCitation | ATHEROSCLEROSIS, Vol.348 : 16-24, 2022-05 | - |
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