Abstract

Doc number: 71

Abstract

Background: Exome sequencing has become more and more affordable and the technique has emerged as an important diagnostic tool for monogenic disorders at early stages of investigations, in particular when clinical information is limited or unspecific as well as in cases of genetic heterogeneity.

Methods: We identified a consanguineous Pakistani family segregating an autosomal recessive phenotype characterized by muscular hypertrophy, mild mental retardation and skeletal abnormalities. The available clinical information was incomplete and we applied whole exome sequencing in an affected family member for the identification of candidate gene variants.

Results: Exome sequencing identified a previously unreported homozygous mutation in the acceptor splice site of intron 5 in the BSCL2 gene (c.574-2A > G). Expression analysis revealed that the mutation was associated with skipping of exon 6. BSCL2 mutations are associated with Berardinelli-Seip congenital lipodystrophy and a clinical re-evaluation of affected individuals confirmed the diagnosis.

Conclusions: Exome sequencing is a powerful technique for the identification of candidate gene variants in Mendelian traits. We applied this technique on a single individual affected by a likely autosomal recessive disorder without access to complete clinical details. A homozygous and truncating mutation was identified in the BSCL2 gene suggesting congenital generalized lipodystrophy. Incomplete phenotypic delineations are frequent limiting factors in search for a diagnosis and may lead to inappropriate care and follow-up. Our study exemplifies exome sequencing as a powerful diagnostic tool in Mendelian disorders that may complement missing clinical information and accelerate clinical diagnosis.

Details

Title
Exome sequencing circumvents missing clinical data and identifies a BSCL2 mutation in congenital lipodystrophy
Author
Schuster, Jens; Khan, Tahir Naeem; Tariq, Muhammad; Shaiq, Pakeeza Arzoo; Mäbert, Katrin; Baig, Shahid Mahmood; Klar, Joakim
Pages
71
Publication year
2014
Publication date
2014
Publisher
BioMed Central
e-ISSN
14712350
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1541890332
Copyright
© 2014 Schuster et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.