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ROBO4 variants predispose individuals to bicuspid aortic valve and thoracic aortic aneurysm.

Authors :
Gould RA
Aziz H
Woods CE
Seman-Senderos MA
Sparks E
Preuss C
Wünnemann F
Bedja D
Moats CR
McClymont SA
Rose R
Sobreira N
Ling H
MacCarrick G
Kumar AA
Luyckx I
Cannaerts E
Verstraeten A
Björk HM
Lehsau AC
Jaskula-Ranga V
Lauridsen H
Shah AA
Bennett CL
Ellinor PT
Lin H
Isselbacher EM
Lino Cardenas CL
Butcher JT
Hughes GC
Lindsay ME
Mertens L
Franco-Cereceda A
Verhagen JMA
Wessels M
Mohamed SA
Eriksson P
Mital S
Van Laer L
Loeys BL
Andelfinger G
McCallion AS
Dietz HC
Source :
Nature genetics [Nat Genet] 2019 Jan; Vol. 51 (1), pp. 42-50. Date of Electronic Publication: 2018 Nov 19.
Publication Year :
2019

Abstract

Bicuspid aortic valve (BAV) is a common congenital heart defect (population incidence, 1-2%) <superscript>1-3</superscript> that frequently presents with ascending aortic aneurysm (AscAA) <superscript>4</superscript> . BAV/AscAA shows autosomal dominant inheritance with incomplete penetrance and male predominance. Causative gene mutations (for example, NOTCH1, SMAD6) are known for ≤1% of nonsyndromic BAV cases with and without AscAA <superscript>5-8</superscript> , impeding mechanistic insight and development of therapeutic strategies. Here, we report the identification of variants in ROBO4 (which encodes a factor known to contribute to endothelial performance) that segregate with disease in two families. Targeted sequencing of ROBO4 showed enrichment for rare variants in BAV/AscAA probands compared with controls. Targeted silencing of ROBO4 or mutant ROBO4 expression in endothelial cell lines results in impaired barrier function and a synthetic repertoire suggestive of endothelial-to-mesenchymal transition. This is consistent with BAV/AscAA-associated findings in patients and in animal models deficient for ROBO4. These data identify a novel endothelial etiology for this common human disease phenotype.

Details

Language :
English
ISSN :
1546-1718
Volume :
51
Issue :
1
Database :
MEDLINE
Journal :
Nature genetics
Publication Type :
Academic Journal
Accession number :
30455415
Full Text :
https://doi.org/10.1038/s41588-018-0265-y