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Harnessing technology and molecular analysis to understand the development of cardiovascular diseases in Asia: a prospective cohort study (SingHEART)
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 s...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873552/ https://www.ncbi.nlm.nih.gov/pubmed/31752689 http://dx.doi.org/10.1186/s12872-019-1248-3 |
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author | 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 |
author_facet | 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 |
author_sort | Yap, Jonathan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6873552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68735522019-11-25 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 BMC Cardiovasc Disord Study Protocol 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. BioMed Central 2019-11-21 /pmc/articles/PMC6873552/ /pubmed/31752689 http://dx.doi.org/10.1186/s12872-019-1248-3 Text en © The Author(s). 2019 Open AccessThis 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. |
spellingShingle | Study Protocol 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 Harnessing technology and molecular analysis to understand the development of cardiovascular diseases in Asia: a prospective cohort study (SingHEART) |
title | Harnessing technology and molecular analysis to understand the development of cardiovascular diseases in Asia: a prospective cohort study (SingHEART) |
title_full | Harnessing technology and molecular analysis to understand the development of cardiovascular diseases in Asia: a prospective cohort study (SingHEART) |
title_fullStr | Harnessing technology and molecular analysis to understand the development of cardiovascular diseases in Asia: a prospective cohort study (SingHEART) |
title_full_unstemmed | Harnessing technology and molecular analysis to understand the development of cardiovascular diseases in Asia: a prospective cohort study (SingHEART) |
title_short | Harnessing technology and molecular analysis to understand the development of cardiovascular diseases in Asia: a prospective cohort study (SingHEART) |
title_sort | harnessing technology and molecular analysis to understand the development of cardiovascular diseases in asia: a prospective cohort study (singheart) |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873552/ https://www.ncbi.nlm.nih.gov/pubmed/31752689 http://dx.doi.org/10.1186/s12872-019-1248-3 |
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