Harnessing technology and molecular analysis to understand the development of cardiovascular diseases in Asia: a prospective cohort study (SingHEART)
Author(s)
Type
Journal Article
Abstract
BACKGROUND: Cardiovascular disease (CVD) imposes much mortality and morbidity worldwide. The use of "deep learning", advancements in genomics, metabolomics, proteomics and devices like wearables have the potential to unearth new insights in the field of cardiology. Currently, in Asia, there are no studies that combine the use of conventional clinical information with these advanced technologies. We aim to harness these new technologies to understand the development of cardiovascular disease in Asia. METHODS: Singapore is a multi-ethnic country in Asia with well-represented diverse ethnicities including Chinese, Malays and Indians. The SingHEART study is the first technology driven multi-ethnic prospective population-based study of healthy Asians. Healthy male and female subjects aged 21-69 years old without any prior cardiovascular disease or diabetes mellitus will be recruited from the general population. All subjects are consented to undergo a detailed on-line questionnaire, basic blood investigations, resting and continuous electrocardiogram and blood pressure monitoring, activity and sleep tracking, calcium score, cardiac magnetic resonance imaging, whole genome sequencing and lipidomic analysis. Outcomes studied will include mortality and cause of mortality, myocardial infarction, stroke, malignancy, heart failure, and the development of co-morbidities. DISCUSSION: An initial target of 2500 patients has been set. From October 2015 to May 2017, an initial 683 subjects have been recruited and have completed the initial work-up the SingHEART project is the first contemporary population-based study in Asia that will include whole genome sequencing and deep phenotyping: including advanced imaging and wearable data, to better understand the development of cardiovascular disease across different ethnic groups in Asia.
Date Issued
2019-11-21
Date Acceptance
2019-11-07
Citation
BMC Cardiovascular Disorders, 2019, 19 (1)
ISSN
1471-2261
Publisher
BMC
Journal / Book Title
BMC Cardiovascular Disorders
Volume
19
Issue
1
Copyright Statement
© The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/31752689
PII: 10.1186/s12872-019-1248-3
Subjects
Adult
Aged
Asian People
Cardiovascular Diseases
Female
Genetic Predisposition to Disease
Genome-Wide Association Study
Health Status
High-Throughput Nucleotide Sequencing
Humans
Male
Middle Aged
Phenotype
Predictive Value of Tests
Prospective Studies
Risk Assessment
Risk Factors
Singapore
Whole Genome Sequencing
Young Adult
Biomarkers
Cardiovascular disease
Coronary artery disease
Epidemiology
Ethnicity
Imaging
Primary prevention
Publication Status
Published
Coverage Spatial
England
Article Number
ARTN 259