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Association of GATA4 Gene Variants with Congenital Heart Disease: A Case-control Study
Jwalant Eknath Waghmare1, Prafulla S Ambulkar2, Tejas Tajne2
1Department of Anatomy, Mahatma Gandhi Institute of Medical Sciences, Wardha, Maharashtra, India.
Insights
This study identified three novel GATA4 gene variants in children with congenital heart defects (CHD). These variants may increase the risk of developing CHD, highlighting the importance of genetic evaluation in affected children.
Area of Science:
- Genetics
- Pediatrics
- Molecular Biology
Background:
- Congenital heart defects (CHD) are common birth defects impacting infant life expectancy.
- Nonsyndromic CHDs present severe clinical phenotypes, often with limited survival.
- Population-level evaluation of genes associated with CHD is crucial for assessing severity and guiding treatment.
Purpose of the Study:
- To investigate GATA4 gene variants in children with sporadic congenital heart defects.
- To evaluate the potential disease-causing effects of identified variants using in silico analyses.
- To assess the association of GATA4 variants with CHD in a rural population.
Main Methods:
- Blood samples from 40 children with nonsyndromic CHD were analyzed.
- Genotyping of exon 4 of the GATA4 gene was performed using Sanger sequencing.
- In silico tools (Mutation Taster, PolyPhen2, etc.) predicted the pathogenicity of detected variants.
Main Results:
- Three novel missense variants in GATA4 exon 4 were identified: E287K, G296A, and K300R.
- In silico analyses predicted these variants to be potentially deleterious.
- The identified variants are likely associated with CHD in the pediatric population studied.
Conclusions:
- This study reports three novel GATA4 variants in exon 4 for the first time.
- These variants may represent potential risk factors for congenital heart defect development.
- Further research is warranted to elucidate the precise role of these variants in CHD pathogenesis.
Background:
Congenital heart disease (CHD) is one of the most common birth defects in infants and significantly impacts life expectancy. Nonsyndromic CHDs are more severe than syndromic clinical phenotypes, with life expectancy often limited to days or weeks. It is imperative to evaluate genes associated with CHD or developmental defects at the population level to ascertain their severity and inform appropriate therapeutic interventions. This study aimed to evaluate GATA4 gene variants in sporadic congenital heart defects in children in the rural Vidarbha region.
Materials And Methods:
We collected blood samples from 40 clinically proven nonsyndromic CHD for genotyping the GATA4 gene. All the children had normal cytogenetic profiles. We performed specific genotyping of exon 4 of the GATA4 gene using Sanger sequencing. In silico analyses, including Mutation Taster, PolyPhen2, Missense3D, HOPE, and SwissModel, were performed to evaluate the disease-causing effects of detected variants in exon 4 of GATA4 gene.
Results:
Our analysis identified three novel missense exonic nucleotide variants, E287K (c. 859G > A, p. Glu287Lys), G296A (c. 887G > C, p. Gly296Ala), and K300R (c. 899A > G, p. Lys300Arg), which were potentially deleterious according to in silico analysis. The present analysis indicates that the variants identified in this study are likely to be associated with CHD in children.
Conclusion:
Notably, we report for the first time these three novel variants in exon 4, which may represent potential risk factors for CHD development.
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