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Open AccessJournal ArticleDOI

Whole-genome sequencing in health care: recommendations of the European Society of Human Genetics.

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TLDR
Focusing on the clinical diagnostics setting, this paper is intended to contribute to the discussion and the development of guidelines in this fast-moving field, and provide recommendations for health-care professionals.
Abstract
In recent years, the cost of generating genome information has shown a rapid decline.1, 2 High-throughput genomic technologies make it possible to sequence the whole exome or genome of a person at a price that is affordable for some health-care systems. More services based on these technologies are now becoming available for patients, raising the issue of how to ensure that these are provided appropriately. In order to determine both the clinical utility of genetic testing and assure a high quality of the analysis, the interpretation and communication of the results must be discussed so that patients can receive appropriate advice and genetic testing. The Public and Professional Policy Committee (PPPC) and the Quality Committee of the European Society of Human Genetics (ESHG) addressed these challenges at a joint workshop in Gothenburg, Sweden, in 2010.3 PPPC also organised workshops in Amsterdam, the Netherlands (January 2011 in collaboration with the EU-funded project TECHGENE, January 2012). A report for the Health Council of the Netherlands served as a background document for the PPPC's reflections.4 Focusing on the clinical diagnostics setting, this paper is intended to contribute to the discussion and the development of guidelines in this fast-moving field, and provide recommendations for health-care professionals. The paper and recommendations were posted on the ESHG website from 20 June to 1 August 2012 for comment by the membership. The final version was approved by the ESHG Board in December 2012.

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Enjeux éthiques du dépistage prénatal non invasif de la trisomie 21. Évolution du dépistage anténatal, de son information et de sesconséquences sociales

TL;DR: In this article, le depistage de la trisomie 21 connait actuellement de grandes modifications avec l'apparition du depistages non invasif sur sang maternel (DPNI).
Book ChapterDOI

Genome Sequencing in Pediatrics: Ethical Issues

TL;DR: In this chapter, potential conflicts between protecting the values of parents’ and children’s autonomy and their wellbeing are described and evaluated and a set of proposals for addressing pediatric UFs in clinical practice are outlined.
Book ChapterDOI

An introductory guide to aligning networks using SANA, the Simulated Annealing Network Aligner

TL;DR: SANA as discussed by the authors is one of the most popular algorithms for biological network alignment, which can produce better alignment in minutes on a laptop than most other algorithms can produce in hours or days of CPU time on large server class machines.
Journal ArticleDOI

An assessment of clinician and researcher needs for support in the era of genomic medicine

TL;DR: Clinicians' and researchers' past, current and anticipated future use of next-generation sequencing (NGS) and anticipated needs for support are assessed, and researchers and clinicians anticipate increased utilization of NGS.
Journal ArticleDOI

Raw Data: Research and Health Care Goals Differ

TL;DR: It is thought that Lunshof et al. underestimate the dangers of actively handing out data that the authors know are not fully reliable and can lead to misinterpretation, and the proposed policy would be at odds with the responsibility of health professionals.
References
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Journal ArticleDOI

A Map of Human Genome Variation From Population-Scale Sequencing

TL;DR: The 1000 Genomes Project aims to provide a deep characterization of human genome sequence variation as a foundation for investigating the relationship between genotype and phenotype as mentioned in this paper, and the results of the pilot phase of the project, designed to develop and compare different strategies for genomewide sequencing with high-throughput platforms.
Journal ArticleDOI

Exome sequencing identifies the cause of a Mendelian disorder

TL;DR: Exome sequencing of a small number of unrelated affected individuals is a powerful, efficient strategy for identifying the genes underlying rare mendelian disorders and will likely transform the genetic analysis of monogenic traits.
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