Title |
Genomic approaches to diagnose rare bone disorders
|
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Published in |
BONE, July 2016
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DOI | 10.1016/j.bone.2016.07.020 |
Pubmed ID | |
Authors |
Félix Falardeau, Maria Vittoria Camurri, Philippe M. Campeau |
Abstract |
Skeletal dysplasias are Mendelian disorders with a prevalence of approximatively 1 in every 5000 newborns and can usually be diagnosed based on clinical and radiological findings. However, given that some diseases can be caused by several different genes, and that some genes can cause a variety of different phenotypes, achieving a molecular diagnosis can be challenging. We review here different approaches, from single gene sequencing to genomic approaches using next-generation sequencing, to reach a molecular diagnosis for skeletal dysplasias. We will further describe the overall advantages and limitations of first, second and third-generation sequencing, including single gene sequencing, whole-exome and genome sequencing (WES and WGS), multiple gene panel sequencing and single molecule sequencing. We also provide a brief overview of potential future applications of emerging technologies. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Saudi Arabia | 1 | 17% |
Netherlands | 1 | 17% |
Belgium | 1 | 17% |
Spain | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 34% |
Student > Bachelor | 5 | 16% |
Student > Ph. D. Student | 5 | 16% |
Other | 3 | 9% |
Student > Postgraduate | 3 | 9% |
Other | 4 | 13% |
Unknown | 1 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 28% |
Medicine and Dentistry | 9 | 28% |
Agricultural and Biological Sciences | 5 | 16% |
Business, Management and Accounting | 2 | 6% |
Unspecified | 1 | 3% |
Other | 1 | 3% |
Unknown | 5 | 16% |