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Impact of next generation sequencing on diagnostics in a genetic skin disease clinic

Authors :
Masashi Akiyama
Kenneth Fong
Patrick Campbell
John A. McGrath
Lu Liu
Linda Ozoemena
Arti Nanda
Takuya Takeichi
Hejab Al-Ajmi
Michael A. Simpson
Amr Salam
Kristina L. Stone
Source :
Experimental dermatology. 22(12)
Publication Year :
2013

Abstract

Individuals with inherited skin diseases often pose one of the most difficult diagnostic challenges in dermatology. The hunt for the underlying molecular pathology may involve candidate gene screening or linkage analysis, which is usually determined by the initial history, the physical findings and laboratory tests. Recent technical advances in DNA sequencing, however, are shifting the diagnostic paradigm. Notably, next-generation sequencing allows a more comprehensive approach to diagnosing inherited diseases, with potential savings of both time and money. In the setting of a paediatric dermatology genetics clinic in Kuwait, we therefore performed whole-exome sequencing on seven individuals without a priori detailed knowledge of the patients' disorders: from these sequencing data, we diagnosed X-linked hypohidrotic ectodermal dysplasia (two cases), acrodermatitis enteropathica, recessive erythropoietic protoporphyria (two siblings) and localized recessive dystrophic epidermolysis bullosa (two siblings). All these groups of disorders are clinically and genetically heterogeneous, but the sequencing data proved inherently useful in improving patient care and avoiding unnecessary investigations. Our observations highlight the value of whole-exome sequencing, in combination with robust bioinformatics analysis, in determining the precise molecular pathology and clinical diagnosis in patients with genetic skin disorders, notably at an early stage in the clinical evaluation of these often complex disorders and thereby support a new paradigm for future diagnostics.

Details

ISSN :
16000625
Volume :
22
Issue :
12
Database :
OpenAIRE
Journal :
Experimental dermatology
Accession number :
edsair.doi.dedup.....2753a75bbf9532d11973048a72e5f3ec