Ontology highlight
ABSTRACT:
PROVIDER: PRJNA791639 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11533427.fastq.gz | Fastqsanger.gz | |||
| SRR11533428.fastq.gz | Fastqsanger.gz | |||
| SRR11533429.fastq.gz | Fastqsanger.gz | |||
| SRR11533430.fastq.gz | Fastqsanger.gz | |||
| SRR11533431.fastq.gz | Fastqsanger.gz |
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Project description:Identifying genetic etiology of CHD using SNP Array
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Project description:Congenital Heart Disease (CHD) accounts for 1% of birth defects, and while large-scale genetic studies have uncovered genes associated with CHDs, identifying causal mutations remains a challenge. We hypothesized that genetic determinants for CHDs could be found in the protein interactomes of GATA4 and TBX5, two cardiac transcription factors (TFs) associated with CHDs. Defining their interactomes in human cardiac progenitors via affinity purification-mass spectrometry and integrating the results with genetic data from the Pediatric Cardiac Genomic Consortium (PCGC) revealed an enrichment of de novo variants among proteins that interact with GATA4 or TBX5. A consolidative score designed to prioritize TF interactome members based on distinctive variant, gene and proband features identified numerous likely CHD-causing genes, including the epigenetic reader GLYR1. GLYR1 and GATA4 widely co-occupied cardiac developmental genes resulting in co-activation and the GLYR1 variant associated with CHD disrupted interaction with GATA4. This integrative proteomic and genetic approach provides a framework for prioritizing and interrogating the contribution of genetic variants in CHD and can be extended to other genetic diseases.
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Project description:Congenital heart disease (CHD) is a prevalent birth defect affecting up to 1% of live births. While a genetic etiology is indicated by increased recurrence risk and association with chromosomal abnormalities, the genetics of CHD is poorly understood and likely complex. Here we show hypoplastic left heart syndrome (HLHS), a severe CHD with high morbidity/mortality, has a multigenic etiology. Analysis of 8 HLHS mutant mouse lines recovered from a large-scale mutagenesis screen showed no mutations are shared in common. In the *Ohia* mouse line, mutations in 2 genes, *Pcdha9*/*Sap130*, act synergistically to cause HLHS. Cardiomyocyte proliferation and differentiation defects likely act in concert with valve abnormalities to cause HLHS. Network analysis of mutations recovered in HLHS mice and 68 HLHS patients point to Notch signaling disruption, a pathway previously implicated in HLHS. These findings demonstrate large-scale mutagenesis is an effective systems approach for interrogating the complex genetics of human diseases.
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Project description:Congenital heart disease (CHD) is the most frequent birth defect and affects nearly 1% of newborns. The etiology of CHD is largely unknown and only a small percentage can be assigned to environmental risk factors such as maternal diseases or exposure to mutagenic agents during pregnancy. Chromosomal imbalances have been identified in many forms of syndromic CHD, but next to nothing is known about the impact of DNA copy number changes in non-syndromic CHD. Here we present a sub-megabase resolution array CGH screen of a cohort with CHD as the sole abnormality at the time of diagnosis. Keywords: array CGH
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Project description:Congenital heart disease (CHD) is a prevalent birth defect affecting up to 1% of live births. While a genetic etiology is indicated by increased recurrence risk and association with chromosomal abnormalities, the genetics of CHD is poorly understood and likely complex. Here we show hypoplastic left heart syndrome (HLHS), a severe CHD with high morbidity/mortality, has a multigenic etiology. Analysis of 8 HLHS mutant mouse lines recovered from a large-scale mutagenesis screen showed no mutations are shared in common. In the *Ohia* mouse line, mutations in 2 genes, *Pcdha9*/*Sap130*, act synergistically to cause HLHS. Cardiomyocyte proliferation and differentiation defects likely act in concert with valve abnormalities to cause HLHS. Network analysis of mutations recovered in HLHS mice and 68 HLHS patients point to Notch signaling disruption, a pathway previously implicated in HLHS. These findings demonstrate large-scale mutagenesis is an effective systems approach for interrogating the complex genetics of human diseases.
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Project description:Congenital Heart Disease (CHD) is present in 1% of live births, and while large-scale genetic studies have uncovered genes associated with CHDs, identifying causal mutations remains a challenge. We hypothesized that genetic determinants for CHDs could be found in the protein interactomes of GATA4 and TBX5, two cardiac transcription factors (TFs) that cause CHDs. Defining their interactomes in human cardiac progenitors via affinity purification-mass spectrometry and integrating the results with genetic data from the Pediatric Cardiac Genomic Consortium (PCGC) revealed an enrichment of de novo variants among proteins that interact with GATA4 or TBX5. A consolidative score designed to prioritize TF interactome members based on distinctive variant, gene, and proband features identified numerous likely CHD-causing genes, including the epigenetic reader GLYR1. GLYR1 and GATA4 widely co-occupied cardiac developmental genes, resulting in co-activation, and the GLYR1 variant associated with CHD disrupted interaction with GATA4. This integrative proteomic and genetic approach provides a framework for prioritizing and interrogating the contribution of genetic variants in CHD and can be extended to other genetic diseases.
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