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Rare Genomic Copy Number Variants Implicate New Candidate Genes for Bicuspid Aortic Valve.

Authors :
Carlisle SG
Albasha H
Michelena H
Sabate-Rotes A
Bianco L
De Backer J
Mosquera LM
Yetman AT
Bissell MM
Andreassi MG
Foffa I
Hui DS
Caffarelli A
Kim YY
Guo DC
Citro R
De Marco M
Tretter JT
McBride KL
Milewicz DM
Body SC
Prakash SK
Source :
MedRxiv : the preprint server for health sciences [medRxiv] 2023 Oct 24. Date of Electronic Publication: 2023 Oct 24.
Publication Year :
2023

Abstract

Bicuspid aortic valve (BAV), the most common congenital heart defect, is a major cause of aortic valve disease requiring valve interventions and thoracic aortic aneurysms predisposing to acute aortic dissections. The spectrum of BAV ranges from early onset valve and aortic complications (EBAV) to sporadic late onset disease. Rare genomic copy number variants (CNVs) have previously been implicated in the development of BAV and thoracic aortic aneurysms. We determined the frequency and gene content of rare CNVs in EBAV probands (n = 272) using genome-wide SNP microarray analysis and three complementary CNV detection algorithms (cnvPartition, PennCNV, and QuantiSNP). Unselected control genotypes from the Database of Genotypes and Phenotypes were analyzed using identical methods. We filtered the data to select large genic CNVs that were detected by multiple algorithms. Findings were replicated in cohorts with late onset sporadic disease (n = 5040). We identified 34 large and rare (< 1:1000 in controls) CNVs in EBAV probands. The burden of CNVs intersecting with genes known to cause BAV when mutated was increased in case-control analysis. CNVs intersecting with GATA4 and DSCAM were enriched in cases, recurrent in other datasets, and segregated with disease in families. In total, we identified potentially pathogenic CNVs in 8% of EBAV cases, implicating alterations of candidate genes at these loci in the pathogenesis of BAV.

Details

Language :
English
Database :
MEDLINE
Journal :
MedRxiv : the preprint server for health sciences
Accession number :
37961530
Full Text :
https://doi.org/10.1101/2023.10.23.23297397