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Rare-disease genetics in the era of next-generation sequencing: discovery to translation

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TLDR
The impact of discovering rare-disease-causing genes, from clinical diagnostics to insights gained into biological mechanisms and common diseases, is highlighted and the increasing therapeutic opportunities and challenges that the resulting expansion of the 'atlas' of human genetic pathology will bring are explored.
Abstract
Work over the past 25 years has resulted in the identification of genes responsible for ~50% of the estimated 7,000 rare monogenic diseases, and it is predicted that most of the remaining disease-causing genes will be identified by the year 2020, and probably sooner. This marked acceleration is the result of dramatic improvements in DNA-sequencing technologies and the associated analyses. We examine the rapid maturation of rare-disease genetic analysis and successful strategies for gene identification. We highlight the impact of discovering rare-disease-causing genes, from clinical diagnostics to insights gained into biological mechanisms and common diseases. Last, we explore the increasing therapeutic opportunities and challenges that the resulting expansion of the 'atlas' of human genetic pathology will bring.

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Citations
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Journal ArticleDOI

Prevalence and architecture of de novo mutations in developmental disorders

TL;DR: It is shown that the most important factors influencing the diagnostic yield of DNMs are the sex of the affected individual, the relatedness of their parents, whether close relatives are affected and the parental ages.
Journal ArticleDOI

Engineering adeno-associated viruses for clinical gene therapy

TL;DR: New approaches to engineer and improve AAV vectors and their genetic cargo are increasingly helping to overcome barriers to extension of clinical gene therapy successes to many other human diseases.
Journal ArticleDOI

The Human Phenotype Ontology in 2017

Sebastian Köhler, +60 more
TL;DR: The progress of the HPO project is reviewed, including specific areas of expansion such as common (complex) disease, new algorithms for phenotype driven genomic discovery and diagnostics, integration of cross-species mapping efforts with the Mammalian Phenotype Ontology, an improved quality control pipeline, and the addition of patient-friendly terminology.
Journal ArticleDOI

Genetic studies in intellectual disability and related disorders

TL;DR: The insights obtained from recent studies on the role of genetics in ID and its impact on diagnosis, prognosis and therapy are highlighted and the future directions of genetics research for ID and related neurodevelopmental disorders are discussed.
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

dbSNP: the NCBI database of genetic variation

TL;DR: The dbSNP database is a general catalog of genome variation to address the large-scale sampling designs required by association studies, gene mapping and evolutionary biology, and is integrated with other sources of information at NCBI such as GenBank, PubMed, LocusLink and the Human Genome Project data.
Journal ArticleDOI

Integrating common and rare genetic variation in diverse human populations

David Altshuler, +68 more
- 02 Sep 2010 - 
TL;DR: An expanded public resource of genome variants in global populations supports deeper interrogation of genomic variation and its role in human disease, and serves as a step towards a high-resolution map of the landscape of human genetic variation.

A Population-Based Study

TL;DR: In this article, a software program incorporating automatic speech-identification technology processed the recorded file to analyze the sounds the children were exposed to and the sounds they made, and a conditional linear regression was used to determine the association between audible television and the outcomes of interest.
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