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Targeted genetic analysis in a large cohort of familial and sporadic cases of aneurysm or dissection of the thoracic aorta.

Authors :
Weerakkody R
Ross D
Parry DA
Ziganshin B
Vandrovcova J
Gampawar P
Abdullah A
Biggs J
Dumfarth J
Ibrahim Y
Bicknell C
Field M
Elefteriades J
Cheshire N
Aitman TJ
Source :
Genetics in medicine : official journal of the American College of Medical Genetics [Genet Med] 2018 Nov; Vol. 20 (11), pp. 1414-1422. Date of Electronic Publication: 2018 Mar 15.
Publication Year :
2018

Abstract

Purpose: Thoracic aortic aneurysm/aortic dissection (TAAD) is a disorder with highly variable age of onset and phenotype. We sought to determine the prevalence of pathogenic variants in TAAD-associated genes in a mixed cohort of sporadic and familial TAAD patients and identify relevant genotype-phenotype relationships.<br />Methods: We used a targeted polymerase chain reaction and next-generation sequencing-based panel for genetic analysis of 15 TAAD-associated genes in 1,025 unrelated TAAD cases.<br />Results: We identified 49 pathogenic or likely pathogenic (P/LP) variants in 47 cases (4.9% of those successfully sequenced). Almost half of the variants were in nonsyndromic cases with no known family history of aortic disease. Twenty-five variants were within FBN1 and two patients were found to harbor two P/LP variants. Presence of a related syndrome, younger age at presentation, family history of aortic disease, and involvement of the ascending aorta increased the risk of carrying a P/LP variant.<br />Conclusion: Given the poor prognosis of TAAD that is undiagnosed prior to acute rupture or dissection, genetic analysis of both familial and sporadic cases of TAAD will lead to new diagnoses, more informed management, and possibly reduced mortality through earlier, preclinical diagnosis in genetically determined cases and their family members.

Details

Language :
English
ISSN :
1530-0366
Volume :
20
Issue :
11
Database :
MEDLINE
Journal :
Genetics in medicine : official journal of the American College of Medical Genetics
Publication Type :
Academic Journal
Accession number :
29543232
Full Text :
https://doi.org/10.1038/gim.2018.27