Literature DB >> 33539413

Polygenic risk score validation using Korean genomes of 265 early-onset acute myocardial infarction patients and 636 healthy controls.

Youngjune Bhak1,2, Yeonsu Jeon1,2, Sungwon Jeon1,2, Changhan Yoon1,2, Min Kim1,2, Asta Blazyte1,2, Yeonkyung Kim1, Younghui Kang1, Changjae Kim3, Sang Yeub Lee4, Jang-Whan Bae4, Weon Kim5, Yeo Jin Kim1, Jungae Shim1, Nayeong Kim1, Sung Chun6,7, Byoung-Chul Kim3, Byung Chul Kim3, Semin Lee1,2, Jong Bhak1,2,3,8, Eun-Seok Shin8,9.   

Abstract

BACKGROUND: The polygenic risk score (PRS) developed for coronary artery disease (CAD) is known to be effective for classifying patients with CAD and predicting subsequent events. However, the PRS was developed mainly based on the analysis of Caucasian genomes and has not been validated for East Asians. We aimed to evaluate the PRS in the genomes of Korean early-onset AMI patients (n = 265, age ≤50 years) following PCI and controls (n = 636) to examine whether the PRS improves risk prediction beyond conventional risk factors.
RESULTS: The odds ratio of the PRS was 1.83 (95% confidence interval [CI]: 1.69-1.99) for early-onset AMI patients compared with the controls. For the classification of patients, the area under the curve (AUC) for the combined model with the six conventional risk factors (diabetes mellitus, family history of CAD, hypertension, body mass index, hypercholesterolemia, and current smoking) and PRS was 0.92 (95% CI: 0.90-0.94) while that for the six conventional risk factors was 0.91 (95% CI: 0.85-0.93). Although the AUC for PRS alone was 0.65 (95% CI: 0.61-0.69), adding the PRS to the six conventional risk factors significantly improved the accuracy of the prediction model (P = 0.015). Patients with the upper 50% of PRS showed a higher frequency of repeat revascularization (hazard ratio = 2.19, 95% CI: 1.47-3.26) than the others.
CONCLUSIONS: The PRS using 265 early-onset AMI genomes showed improvement in the identification of patients in the Korean population and showed potential for genomic screening in early life to complement conventional risk prediction.

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Year:  2021        PMID: 33539413      PMCID: PMC7861392          DOI: 10.1371/journal.pone.0246538

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  24 in total

1.  Long-Term Effects of Childhood Risk Factors on Cardiovascular Health During Adulthood.

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2.  Clinical end points in coronary stent trials: a case for standardized definitions.

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Journal:  Circulation       Date:  2007-05-01       Impact factor: 29.690

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Journal:  Circ Genom Precis Med       Date:  2018-11

4.  Prevalence of coronary atherosclerosis in asymptomatic healthy subjects: an intravascular ultrasound study of donor hearts.

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Journal:  J Atheroscler Thromb       Date:  2013-03-05       Impact factor: 4.928

5.  Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease.

Authors:  Amit V Khera; Connor A Emdin; Isabel Drake; Pradeep Natarajan; Alexander G Bick; Nancy R Cook; Daniel I Chasman; Usman Baber; Roxana Mehran; Daniel J Rader; Valentin Fuster; Eric Boerwinkle; Olle Melander; Marju Orho-Melander; Paul M Ridker; Sekar Kathiresan
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Review 7.  Differences in the Korea Acute Myocardial Infarction Registry Compared with Western Registries.

Authors:  Doo Sun Sim; Myung Ho Jeong
Journal:  Korean Circ J       Date:  2017-09-18       Impact factor: 3.243

8.  Cigarette Smoking in South Korea: A Narrative Review.

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9.  Comparing distributions of polygenic risk scores of type 2 diabetes and coronary heart disease within different populations.

Authors:  Sulev Reisberg; Tatjana Iljasenko; Kristi Läll; Krista Fischer; Jaak Vilo
Journal:  PLoS One       Date:  2017-07-05       Impact factor: 3.240

10.  Korean Genome Project: 1094 Korean personal genomes with clinical information.

Authors:  Sungwon Jeon; Youngjune Bhak; Yeonsong Choi; Yeonsu Jeon; Seunghoon Kim; Jaeyoung Jang; Jinho Jang; Asta Blazyte; Changjae Kim; Yeonkyung Kim; Jungae Shim; Nayeong Kim; Yeo Jin Kim; Seung Gu Park; Jungeun Kim; Yun Sung Cho; Yeshin Park; Hak-Min Kim; Byoung-Chul Kim; Neung-Hwa Park; Eun-Seok Shin; Byung Chul Kim; Dan Bolser; Andrea Manica; Jeremy S Edwards; George Church; Semin Lee; Jong Bhak
Journal:  Sci Adv       Date:  2020-05-27       Impact factor: 14.136

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