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Integrative analysis of genomic variants reveals new associations of candidate haploinsufficient genes with congenital heart disease.

Authors :
Enrique Audain
Anna Wilsdon
Jeroen Breckpot
Jose M G Izarzugaza
Tomas W Fitzgerald
Anne-Karin Kahlert
Alejandro Sifrim
Florian Wünnemann
Yasset Perez-Riverol
Hashim Abdul-Khaliq
Mads Bak
Anne S Bassett
D Woodrow Benson
Felix Berger
Ingo Daehnert
Koenraad Devriendt
Sven Dittrich
Piers Ef Daubeney
Vidu Garg
Karl Hackmann
Kirstin Hoff
Philipp Hofmann
Gregor Dombrowsky
Thomas Pickardt
Ulrike Bauer
Bernard D Keavney
Sabine Klaassen
Hans-Heiner Kramer
Christian R Marshall
Dianna M Milewicz
Scott Lemaire
Joseph S Coselli
Michael E Mitchell
Aoy Tomita-Mitchell
Siddharth K Prakash
Karl Stamm
Alexandre F R Stewart
Candice K Silversides
Reiner Siebert
Brigitte Stiller
Jill A Rosenfeld
Inga Vater
Alex V Postma
Almuth Caliebe
J David Brook
Gregor Andelfinger
Matthew E Hurles
Bernard Thienpont
Lars Allan Larsen
Marc-Phillip Hitz
Source :
PLoS Genetics, Vol 17, Iss 7, p e1009679 (2021)
Publication Year :
2021
Publisher :
Public Library of Science (PLoS), 2021.

Abstract

Numerous genetic studies have established a role for rare genomic variants in Congenital Heart Disease (CHD) at the copy number variation (CNV) and de novo variant (DNV) level. To identify novel haploinsufficient CHD disease genes, we performed an integrative analysis of CNVs and DNVs identified in probands with CHD including cases with sporadic thoracic aortic aneurysm. We assembled CNV data from 7,958 cases and 14,082 controls and performed a gene-wise analysis of the burden of rare genomic deletions in cases versus controls. In addition, we performed variation rate testing for DNVs identified in 2,489 parent-offspring trios. Our analysis revealed 21 genes which were significantly affected by rare CNVs and/or DNVs in probands. Fourteen of these genes have previously been associated with CHD while the remaining genes (FEZ1, MYO16, ARID1B, NALCN, WAC, KDM5B and WHSC1) have only been associated in small cases series or show new associations with CHD. In addition, a systems level analysis revealed affected protein-protein interaction networks involved in Notch signaling pathway, heart morphogenesis, DNA repair and cilia/centrosome function. Taken together, this approach highlights the importance of re-analyzing existing datasets to strengthen disease association and identify novel disease genes and pathways.

Subjects

Subjects :
Genetics
QH426-470

Details

Language :
English
ISSN :
15537390 and 15537404
Volume :
17
Issue :
7
Database :
Directory of Open Access Journals
Journal :
PLoS Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.92067f3613e64d39b29f8fdaa8154ba8
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pgen.1009679