2015
DOI: 10.1093/eurheartj/ehv122
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The current role of next-generation DNA sequencing in routine care of patients with hereditary cardiovascular conditions: a viewpoint paper of the European Society of Cardiology working group on myocardial and pericardial diseases and members of the European Society of Human Genetics

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Cited by 74 publications
(53 citation statements)
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“…2013; Mogensen et al. 2015). All together, these findings suggest a revision of previously DCM‐associated variants and an optimized approach for the clinical application of genetic findings.…”
Section: Discussionmentioning
confidence: 99%
“…2013; Mogensen et al. 2015). All together, these findings suggest a revision of previously DCM‐associated variants and an optimized approach for the clinical application of genetic findings.…”
Section: Discussionmentioning
confidence: 99%
“…First-degree relatives of a living DCM proband with suspected but unconfirmed LHD warrant echocardiography and ECG beyond 10–12 years of age, and if CCD is also a feature, 24-hour Holter 26. Genotype-positive relatives are to be offered clinical surveillance, while genotype-negatives can be reassured and discharged from follow-up 27. No cost–benefit assessment has yet appraised whether family screening by a combined genetic test and clinical screening approach is superior to sole clinical screening in LHD 28.…”
Section: Diagnosticsmentioning
confidence: 99%
“…• Completion of the Human Genome Project 14,15 • Launch of the International HapMap Project 16 • Availability of next-generation sequencing 17 • Reports of the importance of proteomics 18 , metabolomics 19 , transcriptomics, and epigenetics 20 that spurred interest in studying 'omics' to understand human disease 21 • Systems biology and network medicine 23,24 • Cloud computing and new techniques in computational biology were developed, making the handling of large datasets possible ('big data') 22 • Widespread emergence of electronic medical records • Blossoming of biomedical informatics • Development of networks of sites for enrolling participants in clinical studies 26 • Increase in data sharing in the research and clinical communities 27 • The Quantified Self movement 28,29 , which aims to increase the use of implanted medical devices • Growth in the use of smartphones and mobile health (mHealth) devices and apps for acquiring continuous physiological data on a real-time basis 30 biological phenomena. The main elements required to achieve this goal include the big data pool of 'omic' information in healthy and diseased states; advanced computational and analytical techniques for explor ing the complex inter actions within the molecular networks that govern pheno types; and nuanced, quantitative, deep pheno typing in health and disease (FIGS 1,2).…”
Section: Box 1 | Major Medical Advances Enabling Precision Medicinementioning
confidence: 99%
“…First, the completion of the Human Genome Project 14,15 , the launch of the International HapMap Project 16 , the avail ability of nextgeneration sequencing 17 , and reports of the importance of proteomics 18 , metabolomics 19 , tran scriptomics, and epigenetics 20 spurred interest in study ing 'omics' to understand human disease 21 . Second, cloud computing and new techniques in computational biology were developed, making the handling of large datasets possible ('big data') 22 , as we learn to think more in terms of systems biology and network med icine 23,24 .…”
mentioning
confidence: 99%