scholarly journals Tracing Mycobacterium tuberculosis transmission by whole genome sequencing in a high incidence setting: a retrospective population-based study in East Greenland

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
K. Bjorn-Mortensen ◽  
B. Soborg ◽  
A. Koch ◽  
K. Ladefoged ◽  
M. Merker ◽  
...  
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Population Based ◽  
Whole Genome ◽  
Population Based Study ◽  
East Greenland ◽  
Tuberculosis Transmission ◽  
High Incidence

scholarly journals Accuracy of whole-genome sequencing to determine recent tuberculosis transmission: an 11-year population-based study in Hamburg, Germany

2019 ◽  
Vol 54 (5) ◽  
pp. 1901154 ◽  
Author(s):  
Roland Diel ◽  
Thomas A. Kohl ◽  
Florian P. Maurer ◽  
Matthias Merker ◽  
Karen Meywald Walter ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Population Based ◽  
Whole Genome ◽  
Population Based Study ◽  
Tuberculosis Transmission

scholarly journals Epidemiological links between tuberculosis cases identified twice as efficiently by whole genome sequencing than conventional molecular typing: A population-based study

PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0195413 ◽  
Author(s):  
Rana Jajou ◽  
Albert de Neeling ◽  
Rianne van Hunen ◽  
Gerard de Vries ◽  
Henrieke Schimmel ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
Molecular Typing ◽  
Population Based ◽  
Whole Genome ◽  
Population Based Study

scholarly journals Harnessing technology and molecular analysis to understand the development of cardiovascular diseases in Asia: a prospective cohort study (SingHEART)

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Jonathan Yap ◽  
Weng Khong Lim ◽  
Anders Sahlén ◽  
Calvin Woon-Loong Chin ◽  
Kenneth Michael Yun-Chi Chew ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Whole Genome Sequencing ◽  
Genome Sequencing ◽  
New Technologies ◽  
Blood Pressure Monitoring ◽  
Calcium Score ◽  
Population Based ◽  
Whole Genome ◽  
Population Based Study ◽  
Mortality And Morbidity

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.

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