TY - JOUR
T1 - Integrative analysis of genomic variants reveals new associations of candidate haploinsufficient genes with congenital heart disease
AU - Audain, Enrique
AU - Wilsdon, Anna
AU - Breckpot, Jeroen
AU - Izarzugaza, Jose M.G.
AU - Fitzgerald, Tomas W.
AU - Kahlert, Anne Karin
AU - Sifrim, Alejandro
AU - Wünnemann, Florian
AU - Perez-Riverol, Yasset
AU - Abdul-Khaliq, Hashim
AU - Bak, Mads
AU - Bassett, Anne S.
AU - Benson, Woodrow D.
AU - Berger, Felix
AU - Daehnert, Ingo
AU - Devriendt, Koenraad
AU - Dittrich, Sven
AU - Daubeney, Piers E.F.
AU - Garg, Vidu
AU - Hackmann, Karl
AU - Hoff, Kirstin
AU - Hofmann, Philipp
AU - Dombrowsky, Gregor
AU - Pickardt, Thomas
AU - Bauer, Ulrike
AU - Keavney, Bernard D.
AU - Klaassen, Sabine
AU - Kramer, Hans Heiner
AU - Marshall, Christian R.
AU - Milewicz, Dianna M.
AU - Lemaire, Scott
AU - Coselli, Joseph S.
AU - Mitchell, Michael E.
AU - Tomita-Mitchell, Aoy
AU - Prakash, Siddharth K.
AU - Stamm, Karl
AU - Stewart, Alexandre F.R.
AU - Silversides, Candice K.
AU - Siebert, Reiner
AU - Stiller, Brigitte
AU - Rosenfeld, Jill A.
AU - Vater, Inga
AU - Postma, Alex V.
AU - Caliebe, Almuth
AU - Brook, J. David
AU - Andelfinger, Gregor
AU - Hurles, Matthew E.
AU - Thienpont, Bernard
AU - Larsen, Lars Allan
AU - Hitz, Marc Phillip
N1 - Publisher Copyright:
© 2021 Public Library of Science. All rights reserved.
PY - 2021
Y1 - 2021
N2 - 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 parentoffspring 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. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
AB - 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 parentoffspring 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. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
U2 - 10.1371/journal.pgen.1009679
DO - 10.1371/journal.pgen.1009679
M3 - Journal article
C2 - 34324492
AN - SCOPUS:85111770757
SN - 1553-7390
VL - 17
JO - PLOS Genetics
JF - PLOS Genetics
IS - 7
M1 - e1009679
ER -