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Targeted next-generation sequencing makes new molecular diagnoses and expands genotype-phenotype relationship in Ehlers-Danlos syndrome.

Authors :
Weerakkody RA
Vandrovcova J
Kanonidou C
Mueller M
Gampawar P
Ibrahim Y
Norsworthy P
Biggs J
Abdullah A
Ross D
Black HA
Ferguson D
Cheshire NJ
Kazkaz H
Grahame R
Ghali N
Vandersteen A
Pope FM
Aitman TJ
Source :
Genetics in medicine : official journal of the American College of Medical Genetics [Genet Med] 2016 Nov; Vol. 18 (11), pp. 1119-1127. Date of Electronic Publication: 2016 Mar 24.
Publication Year :
2016

Abstract

Purpose: Ehlers-Danlos syndrome (EDS) comprises a group of overlapping hereditary disorders of connective tissue with significant morbidity and mortality, including major vascular complications. We sought to identify the diagnostic utility of a next-generation sequencing (NGS) panel in a mixed EDS cohort.<br />Methods: We developed and applied PCR-based NGS assays for targeted, unbiased sequencing of 12 collagen and aortopathy genes to a cohort of 177 unrelated EDS patients. Variants were scored blind to previous genetic testing and then compared with results of previous Sanger sequencing.<br />Results: Twenty-eight pathogenic variants in COL5A1/2, COL3A1, FBN1, and COL1A1 and four likely pathogenic variants in COL1A1, TGFBR1/2, and SMAD3 were identified by the NGS assays. These included all previously detected single-nucleotide and other short pathogenic variants in these genes, and seven newly detected pathogenic or likely pathogenic variants leading to clinically significant diagnostic revisions. Twenty-two variants of uncertain significance were identified, seven of which were in aortopathy genes and required clinical follow-up.<br />Conclusion: Unbiased NGS-based sequencing made new molecular diagnoses outside the expected EDS genotype-phenotype relationship and identified previously undetected clinically actionable variants in aortopathy susceptibility genes. These data may be of value in guiding future clinical pathways for genetic diagnosis in EDS.Genet Med 18 11, 1119-1127.

Details

Language :
English
ISSN :
1530-0366
Volume :
18
Issue :
11
Database :
MEDLINE
Journal :
Genetics in medicine : official journal of the American College of Medical Genetics
Publication Type :
Academic Journal
Accession number :
27011056
Full Text :
https://doi.org/10.1038/gim.2016.14