ArticleComputational and structural biotechnology journal2021
An update on the CHDGKB for the systematic understanding of risk factors associated with non-syndromic congenital heart disease.
Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Combined effects of maternal periconceptional environmental exposures and infant cardiac transcription factor polymorphisms on congenital heart disease risk.Annals of medicine · 2026Article
- Computational analysis of congenital heart disease associated SNPs: unveiling their impact on the gene regulatory system.BMC genomics · 2025Article
- Integrated analysis of copy number variation-associated lncRNAs identifies candidates contributing to the etiologies of congenital kidney anomalies.Communications biology · 2023Article
- CHDbase: A Comprehensive Knowledgebase for Congenital Heart Disease-related Genes and Clinical Manifestations.Genomics, proteomics & bioinformatics · 2023Article
- Functional screening of congenital heart disease risk loci identifies 5 genes essential for heart development in zebrafish.Cellular and molecular life sciences : CMLS · 2022Article
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Authors and funding
4 authors.
Funding
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Abstract
The Congenital Heart Disease Genetic Knowledge Base (CHDGKB) was established in 2020 to provide comprehensive knowledge about the genetics and pathogenesis of non-syndromic CHD (NS-CHD). In addition to the genetic causes of NS-CHD, environmental factors such as maternal drug use and gene-environment interactions can also lead to CHD. There is a need to integrate this information into a platform for clinicians and researchers to better understand the overall risk factors associated with NS-CHD. The updated CHDGKB contains the genetic and non-genetic risk factors from over 4200 records from PubMed that was manually curated to include the information associated with NS-CHD. The current version of CHDGKB, named CHD-RF-KB (KnowledgeBase for non-syndromic Congenital Heart Disease-associated Risk Factors), is an important tool that allows users to evaluate the recurrence risk and prognosis of NS-CHD, to guide treatment and highlight the precautions of NS-CHD. In this update, we performed extensive functional analyses of the genetic and non-genetic risk information in CHD-RF-KB. These data can be used to systematically understand the heterogeneous relationship between risk factors and NS-CHD phenotypes.
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