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

Author:

Audain EnriqueORCID,Wilsdon AnnaORCID,Breckpot Jeroen,Izarzugaza Jose M. G.,Fitzgerald Tomas W.ORCID,Kahlert Anne-Karin,Sifrim AlejandroORCID,Wünnemann FlorianORCID,Perez-Riverol YassetORCID,Abdul-Khaliq Hashim,Bak MadsORCID,Bassett Anne S.ORCID,Benson Woodrow D.,Berger FelixORCID,Daehnert IngoORCID,Devriendt KoenraadORCID,Dittrich SvenORCID,Daubeney Piers EFORCID,Garg ViduORCID,Hackmann KarlORCID,Hoff KirstinORCID,Hofmann Philipp,Dombrowsky GregorORCID,Pickardt ThomasORCID,Bauer Ulrike,Keavney Bernard D.ORCID,Klaassen Sabine,Kramer Hans-Heiner,Marshall Christian R.,Milewicz Dianna M.ORCID,Lemaire Scott,Coselli Joseph S.,Mitchell Michael E.,Tomita-Mitchell Aoy,Prakash Siddharth K.ORCID,Stamm KarlORCID,Stewart Alexandre F. R.ORCID,Silversides Candice K.,Siebert Reiner,Stiller BrigitteORCID,Rosenfeld Jill A.ORCID,Vater Inga,Postma Alex V.,Caliebe AlmuthORCID,Brook J. David,Andelfinger GregorORCID,Hurles Matthew E.ORCID,Thienpont BernardORCID,Larsen Lars AllanORCID,Hitz Marc-Phillip

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.

Funder

german center for cardiovascular research

national register for congenital heart defects

kinderherz

British Heart Foundation

Publisher

Public Library of Science (PLoS)

Subject

Cancer Research,Genetics (clinical),Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

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