Polygenic risk score (PRS) analysis of genetic variants in a pediatric Pakistani population with ventricular septal defects (VSDs)
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Author(s)
Type
Journal Article
Abstract
Background:
Ventricular septal defects (VSDs), a congenital cardiac disease is the major abnormality of the heart that contributes to 40% of neonatal mortalities in the first month of childbirth. VSDs is a complex disease that is the result of interaction of various genetic determinants in regulators, transcription factors and enzymes including GATA4, SMAD7, VEGF, MTRR and ISL1.The understanding of genetic variations that contribute to VSDs is still underreported in the Pakistani population.
Methods:
Genotyping of seven polymorphisms was performed on 100 pediatric subjects (50 VSDs patients and 50 controls) by using Tetra ARMS-PCR and PCR–RFLP methodology. The single and polygenic variant analysis was conducted to identify the risk variants.
Results:
The results of the analysis showed that MAF of all selected variants was significantly associated with VSDs. The GATA4 rs4841587 [OR 0.40 (95% CI 0.15–1.01)], SMAD7 rs3736242 [OR 0.26 (95% CI 0.08–0.81)], SMAD7 rs16950113 [OR 0.48 (95% CI 0.26–0.88)], VEGF rs699947 [OR 0.89 (95% CI 0.51–1.55)] variants showed significant protective impact, whereas GATA4 rs104894073 [OR 1.19 (95% CI 0.67–2.12)], MTRR rs1532268 [OR 1.00 (95% CI 0.57–1.75)], ISL1 rs6867206 [OR 1.39 (95% CI 0.76–2.55)] variants showed association with increased risk of VSD. Genetic contrast analysis demonstrated that the GATA4 rs104894073, VEGF rs699947 and MTRR rs1532268 increased risk of VSDs in the dominant model and the heterozygous genotype in the co-dominant model. In contrast, polygenic risk score does not suggest conclusive results.
Conclusion:
Our findings especially for GATA4 rs104894073, VEGF rs699947 and MTRR rs1532268 variants need to be validated in future studies. Also, a more effective model of PRS should be developed that has more significant predictive power especially for the candidate SNP analysis.
Ventricular septal defects (VSDs), a congenital cardiac disease is the major abnormality of the heart that contributes to 40% of neonatal mortalities in the first month of childbirth. VSDs is a complex disease that is the result of interaction of various genetic determinants in regulators, transcription factors and enzymes including GATA4, SMAD7, VEGF, MTRR and ISL1.The understanding of genetic variations that contribute to VSDs is still underreported in the Pakistani population.
Methods:
Genotyping of seven polymorphisms was performed on 100 pediatric subjects (50 VSDs patients and 50 controls) by using Tetra ARMS-PCR and PCR–RFLP methodology. The single and polygenic variant analysis was conducted to identify the risk variants.
Results:
The results of the analysis showed that MAF of all selected variants was significantly associated with VSDs. The GATA4 rs4841587 [OR 0.40 (95% CI 0.15–1.01)], SMAD7 rs3736242 [OR 0.26 (95% CI 0.08–0.81)], SMAD7 rs16950113 [OR 0.48 (95% CI 0.26–0.88)], VEGF rs699947 [OR 0.89 (95% CI 0.51–1.55)] variants showed significant protective impact, whereas GATA4 rs104894073 [OR 1.19 (95% CI 0.67–2.12)], MTRR rs1532268 [OR 1.00 (95% CI 0.57–1.75)], ISL1 rs6867206 [OR 1.39 (95% CI 0.76–2.55)] variants showed association with increased risk of VSD. Genetic contrast analysis demonstrated that the GATA4 rs104894073, VEGF rs699947 and MTRR rs1532268 increased risk of VSDs in the dominant model and the heterozygous genotype in the co-dominant model. In contrast, polygenic risk score does not suggest conclusive results.
Conclusion:
Our findings especially for GATA4 rs104894073, VEGF rs699947 and MTRR rs1532268 variants need to be validated in future studies. Also, a more effective model of PRS should be developed that has more significant predictive power especially for the candidate SNP analysis.
Date Issued
2025-03-03
Date Acceptance
2025-02-04
Citation
Egyptian Journal of Medical Human Genetics, 2025, 26 (1)
ISSN
1110-8630
Publisher
SpringerOpen
Journal / Book Title
Egyptian Journal of Medical Human Genetics
Volume
26
Issue
1
Copyright Statement
© The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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Publication Status
Published
Article Number
41
Date Publish Online
2025-03-03