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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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Public interest in unexpected genomic findings: a survey study identifying aspects of sequencing attitudes that influence preferences

TL;DR: In this article , the authors describe public preferences for unexpected genomic findings and explore predictors of preferences using an online survey in an Eastern Canadian province, finding that people who endorsed items measuring features of patient control and choice over their genomic data and testing options were 3-5 times more likely to be very interested in receiving unexpected findings.
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Simulating the Genetics Clinic of the Future — whether undergoing whole-genome sequencing shapes professional attitudes

TL;DR: In this article , a semi-structured pre-and post-sequencing interview with each participant was conducted to identify key themes that they raised after being sequenced and evaluate how their experience of the procedure evolved over time, also conducted a questionnaire to gather their views 3 years after receiving their genomic data.
Book ChapterDOI

Omics-Based Nanomedicine

TL;DR: This book chapter has discussed about the leading technologies available for personalized nanomedicine and immense potential combination of nanomediine with high-throughput omics technology.
Journal ArticleDOI

Whole genome sequencing as a diagnostic tool: Participant-centered consent

TL;DR: It is argued that the authority of the patient in personalized medicine should be shaped from a participant-centered perspective in handling the flow of information in the clinical context.
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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