Publication
Title
Performant mutation identification using targeted next-generation sequencing of 14 thoracic aortic aneurysm genes
Author
Abstract
At least 14 causative genes have been identified for both syndromic and nonsyndromic forms of thoracic aortic aneurysm/dissection (TAA), an important cause of death in the industrialized world. Molecular confirmation of the diagnosis is increasingly important for gene-tailored patient management but consecutive, conventional molecular TAA gene screening is expensive and labor-intensive. To circumvent these problems, we developed a TAA gene panel for next-generation sequencing of 14 TAA genes. After validation, we applied the assay to 100 Marfan patients. We identified 90 FBN1 mutations, 44 of which were novel. In addition, Multiplex ligation-dependent probe amplification identified large deletions in six of the remaining samples, whereas false-negative results were excluded by Sanger sequencing of FBN1, TGFBR1, and TGFBR2 in the last four samples. Subsequently, we screened 55 syndromic and nonsyndromic TAA patients. We identified causal mutations in 15 patients (27%), one in each of the six following genes: ACTA2, COL3A1, TGFBR1, MYLK, SMAD3, SLC2A10 (homozygous), two in NOTCH1, and seven in FBN1. We conclude that our approach for TAA genetic testing overcomes the intrinsic hurdles of consecutive Sanger sequencing of all candidate genes and provides a powerful tool for the elaboration of clinical phenotypes assigned to different genes.
Language
English
Source (journal)
Human mutation. - New York, N.Y.
Publication
New York, N.Y. : 2015
ISSN
1059-7794
DOI
10.1002/HUMU.22802
Volume/pages
36 :8 (2015) , p. 808-814
ISI
000358376600010
Pubmed ID
25907466
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Sudden cardiac death: translating genetic technology into improved clinical care.
Clinical and (patho)genetic study of bicuspid aortic valve and associated aortic aneurysm.
Application of whole exome sequencing to identify the genetic defect in hereditary connective tissue disorders
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 03.09.2015
Last edited 04.03.2024
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