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Efficient application of next-generation sequencing for the diagnosis of rare genetic syndromes
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular Medicine. Uppsala University, Science for Life Laboratory, SciLifeLab.
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2014 (English)In: Journal of Clinical Pathology, ISSN 0021-9746, E-ISSN 1472-4146, Vol. 67, no 12, 1099-1103 p.Article in journal (Refereed) Published
Abstract [en]

Aims The causes of intellectual disability, which affects 1%-3% of the general population, are highly heterogeneous and the genetic defect remains unknown in around 40% of patients. The application of next-generation sequencing is changing the nature of biomedical diagnosis. This technology has quickly become the method of choice for searching for pathogenic mutations in rare uncharacterised genetic diseases. Methods Whole-exome sequencing was applied to a series of families affected with intellectual disability in order to identify variants underlying disease phenotypes. Results We present data of three families in which we identified the disease-causing mutations and which benefited from receiving a clinical diagnosis: Cornelia de Lange, Cohen syndrome and Dent-2 disease. The genetic heterogeneity and the variability in clinical presentation of these disorders could explain why these patients are difficult to diagnose. Conclusions The accessibility to next-generation sequencing allows clinicians to save much time and cost in identifying the aetiology of rare diseases. The presented cases are excellent examples that demonstrate the efficacy of next-generation sequencing in rare disease diagnosis.

Place, publisher, year, edition, pages
2014. Vol. 67, no 12, 1099-1103 p.
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Cell and Molecular Biology
URN: urn:nbn:se:uu:diva-239749DOI: 10.1136/jclinpath-2014-202537ISI: 000345281400015PubMedID: 25271213OAI: oai:DiVA.org:uu-239749DiVA: diva2:775290
Available from: 2014-12-31 Created: 2014-12-30 Last updated: 2014-12-31Bibliographically approved

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Karlberg, OlofSyvänen, Ann-Christine
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Molecular MedicineScience for Life Laboratory, SciLifeLab
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