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De novo variants in exomes of congenital heart disease patients identify risk genes and pathways.


ABSTRACT:

Background

Congenital heart disease (CHD) affects ~?1% of live births and is the most common birth defect. Although the genetic contribution to the CHD has been long suspected, it has only been well established recently. De novo variants are estimated to contribute to approximately 8% of sporadic CHD.

Methods

CHD is genetically heterogeneous, making pathway enrichment analysis an effective approach to explore and statistically validate CHD-associated genes. In this study, we performed novel gene and pathway enrichment analyses of high-impact de novo variants in the recently published whole-exome sequencing (WES) data generated from a cohort of CHD 2645 parent-offspring trios to identify new CHD-causing candidate genes and mutations. We performed rigorous variant- and gene-level filtrations to identify potentially damaging variants, followed by enrichment analyses and gene prioritization.

Results

Our analyses revealed 23 novel genes that are likely to cause CHD, including HSP90AA1, ROCK2, IQGAP1, and CHD4, and sharing biological functions, pathways, molecular interactions, and properties with known CHD-causing genes.

Conclusions

Ultimately, these findings suggest novel genes that are likely to be contributing to CHD pathogenesis.

SUBMITTER: Sevim Bayrak C 

PROVIDER: S-EPMC6961332 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Publications

De novo variants in exomes of congenital heart disease patients identify risk genes and pathways.

Sevim Bayrak Cigdem C   Zhang Peng P   Tristani-Firouzi Martin M   Gelb Bruce D BD   Itan Yuval Y  

Genome medicine 20200115 1


<h4>Background</h4>Congenital heart disease (CHD) affects ~ 1% of live births and is the most common birth defect. Although the genetic contribution to the CHD has been long suspected, it has only been well established recently. De novo variants are estimated to contribute to approximately 8% of sporadic CHD.<h4>Methods</h4>CHD is genetically heterogeneous, making pathway enrichment analysis an effective approach to explore and statistically validate CHD-associated genes. In this study, we perfo  ...[more]

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