Integrative analysis of genomic variants reveals new associations of candidate haploinsufficient genes with congenital heart disease.
DNA Copy Number Variations
/ genetics
Databases, Genetic
Gene Expression
/ genetics
Gene Expression Profiling
/ methods
Genetic Predisposition to Disease
/ genetics
Genomics
/ methods
Haploinsufficiency
/ genetics
Heart Defects, Congenital
/ genetics
Humans
Ion Channels
/ genetics
Membrane Proteins
/ genetics
Polymorphism, Single Nucleotide
/ genetics
Transcriptome
/ genetics
Journal
PLoS genetics
ISSN: 1553-7404
Titre abrégé: PLoS Genet
Pays: United States
ID NLM: 101239074
Informations de publication
Date de publication:
07 2021
07 2021
Historique:
received:
03
12
2020
accepted:
23
06
2021
revised:
10
08
2021
pubmed:
30
7
2021
medline:
9
11
2021
entrez:
29
7
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34324492
doi: 10.1371/journal.pgen.1009679
pii: PGENETICS-D-20-01841
pmc: PMC8354477
doi:
Substances chimiques
Ion Channels
0
Membrane Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1009679Subventions
Organisme : British Heart Foundation
ID : RG/13/10/30376
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : R01 HL137028
Pays : United States
Organisme : British Heart Foundation
ID : RG/15/12/31616
Pays : United Kingdom
Organisme : British Heart Foundation
ID : FS/14/51/30879
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RG/F/21/110050
Pays : United Kingdom
Organisme : British Heart Foundation
ID : CH/13/2/30154
Pays : United Kingdom
Commentaires et corrections
Type : ErratumIn
Déclaration de conflit d'intérêts
I have read the journal’s policy and the authors of this manuscript have the following competing interests: The Department of Molecular and Human Genetics at Baylor College of Medicine receives revenue from clinical genetic testing conducted at Baylor Genetics Laboratories. M.E.H. is a co-founder of, consultant to and holds shares in Congenica, a genetics diagnostic company.
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