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Harnessing technology and molecular analysis to understand the development of cardiovascular diseases in Asia: a prospective cohort study (SingHEART).
Yap, Jonathan; Lim, Weng Khong; Sahlén, Anders; Chin, Calvin Woon-Loong; Chew, Kenneth Michael Yun-Chi; Davila, Sonia; Allen, John; Goh, Vera; Tan, Swee Yaw; Tan, Patrick; Lam, Carolyn S P; Cook, Stuart Alexander; Yeo, Khung Keong.
Afiliación
  • Yap J; Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
  • Lim WK; SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.
  • Sahlén A; Cancer and Stem Biology Program, Duke-NUS Medical School, Singapore, Singapore.
  • Chin CW; Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
  • Chew KMY; Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
  • Davila S; Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore. kennethmichael.chew@mohh.com.sg.
  • Allen J; SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.
  • Goh V; Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore, Singapore.
  • Tan SY; Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
  • Tan P; Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
  • Lam CSP; Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.
  • Cook SA; SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.
  • Yeo KK; Cancer and Stem Biology Program, Duke-NUS Medical School, Singapore, Singapore.
BMC Cardiovasc Disord ; 19(1): 259, 2019 11 21.
Article en En | MEDLINE | ID: mdl-31752689
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Pueblo Asiatico Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: BMC Cardiovasc Disord Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Singapur

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Pueblo Asiatico Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: BMC Cardiovasc Disord Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Singapur