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Genetic studies in the Pakistani population reveal novel associations with ventricular septal defects (VSDs)

BACKGROUND: With prevalence up to 4%, Ventricular Septal Defect (VSD) is one of the leading causes of neonatal deaths. VSD is a common complex genetic disorder that has been associated with many genetic determinants. Variants from genes for the transcription factors including T-Box TBX5 and NFATc1 (...

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Autores principales: Sarwar, Sumbal, Shabana, Sajjad, Khadija, Hasnain, Shahida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909889/
https://www.ncbi.nlm.nih.gov/pubmed/36759823
http://dx.doi.org/10.1186/s12887-023-03851-3
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author Sarwar, Sumbal
Shabana
Sajjad, Khadija
Hasnain, Shahida
author_facet Sarwar, Sumbal
Shabana
Sajjad, Khadija
Hasnain, Shahida
author_sort Sarwar, Sumbal
collection PubMed
description BACKGROUND: With prevalence up to 4%, Ventricular Septal Defect (VSD) is one of the leading causes of neonatal deaths. VSD is a common complex genetic disorder that has been associated with many genetic determinants. Variants from genes for the transcription factors including T-Box TBX5 and NFATc1 (nuclear factor of activated T cells, cytoplasmic 1), Vascular endothelial growth factor (VEGF), ISLET1 (encoded by the ISL1 gene) and enzyme MTHFR, a methylene tetrahydrofolate reductase were selected. Genetic risk score (GRS) is a widely accepted approach used to convert the genetic data into prediction and assessment tool for disease susceptibility. METHODS: A total of 200 participants were recruited for the current study, 100 VSD patients and 100 controls. Genotyping of the ISL1: rs1017, NFATc1: rs7240256, VEGF: rs36208048, TBX5: rs11067075, and MTHFR: rs1801133 variants was performed using tetra primer ARMS PCR and PCR-RFLP. For the statistical analysis, the software SPSS version 23 was used. Genotypic frequencies of cases and controls were calculated using chi-square (χ²) whereas allelic frequencies were calculated by using the SNPStats tool. The association of GRS quartiles with VSD was examined using binary logistic regression. Adjusted p-value 0.01 was used as significance threshold for all analyses. RESULTS: The ISL1 (OD: 0.242, CI: 0.158–0.37, p-value: 2.15 × 10(− 4) :), NFATc1 (OD: 2.53, CI: 1.64–3.89, p-value: 2.11 × 10(− 5)), TBX5 (OD: 2.24, CI: 1.47–3.41, p-value:1.6 × 10(− 4)) and MTHFR (OD: 10.46, CI: 5.68–19.26, p-value: 2.09 × 10(− 9):) variants were found to be in association with VSD. In contrast, the VEGF (OD: 0.952, CI: 0.56–1.62, p-value: 0.8921) variant did not show significance association with the VSD. For cases, the mean GRS score was 3.78 ± 1.285 while in controls it was 2.95 ± 1.290 (p-value: 0.479, CI: 0.474–1.190). Comparison of GRS between cases and control showed that mean GRS of cases was 1.90 ± 0.480 while in controls it was 1.68 ± 0.490 (p-value: 0.001, CI: 0.086–0.354). Higher quartiles were more prevalent in cases whereas lower quartiles were more prevalent in controls. CONCLUSION: GRS of these five loci was strongly associated with VSD. Moreover, genetic risk score can provide better information for the association between variants and disease as compared to a single SNP. We also illustrated that the cumulative power of GRS is greater over the single SNP effect. This is a pilot scale study with a relatively small sample size whose findings should be replicated in a larger sample size for the unique local Pakistani population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-023-03851-3.
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spelling pubmed-99098892023-02-10 Genetic studies in the Pakistani population reveal novel associations with ventricular septal defects (VSDs) Sarwar, Sumbal Shabana Sajjad, Khadija Hasnain, Shahida BMC Pediatr Research BACKGROUND: With prevalence up to 4%, Ventricular Septal Defect (VSD) is one of the leading causes of neonatal deaths. VSD is a common complex genetic disorder that has been associated with many genetic determinants. Variants from genes for the transcription factors including T-Box TBX5 and NFATc1 (nuclear factor of activated T cells, cytoplasmic 1), Vascular endothelial growth factor (VEGF), ISLET1 (encoded by the ISL1 gene) and enzyme MTHFR, a methylene tetrahydrofolate reductase were selected. Genetic risk score (GRS) is a widely accepted approach used to convert the genetic data into prediction and assessment tool for disease susceptibility. METHODS: A total of 200 participants were recruited for the current study, 100 VSD patients and 100 controls. Genotyping of the ISL1: rs1017, NFATc1: rs7240256, VEGF: rs36208048, TBX5: rs11067075, and MTHFR: rs1801133 variants was performed using tetra primer ARMS PCR and PCR-RFLP. For the statistical analysis, the software SPSS version 23 was used. Genotypic frequencies of cases and controls were calculated using chi-square (χ²) whereas allelic frequencies were calculated by using the SNPStats tool. The association of GRS quartiles with VSD was examined using binary logistic regression. Adjusted p-value 0.01 was used as significance threshold for all analyses. RESULTS: The ISL1 (OD: 0.242, CI: 0.158–0.37, p-value: 2.15 × 10(− 4) :), NFATc1 (OD: 2.53, CI: 1.64–3.89, p-value: 2.11 × 10(− 5)), TBX5 (OD: 2.24, CI: 1.47–3.41, p-value:1.6 × 10(− 4)) and MTHFR (OD: 10.46, CI: 5.68–19.26, p-value: 2.09 × 10(− 9):) variants were found to be in association with VSD. In contrast, the VEGF (OD: 0.952, CI: 0.56–1.62, p-value: 0.8921) variant did not show significance association with the VSD. For cases, the mean GRS score was 3.78 ± 1.285 while in controls it was 2.95 ± 1.290 (p-value: 0.479, CI: 0.474–1.190). Comparison of GRS between cases and control showed that mean GRS of cases was 1.90 ± 0.480 while in controls it was 1.68 ± 0.490 (p-value: 0.001, CI: 0.086–0.354). Higher quartiles were more prevalent in cases whereas lower quartiles were more prevalent in controls. CONCLUSION: GRS of these five loci was strongly associated with VSD. Moreover, genetic risk score can provide better information for the association between variants and disease as compared to a single SNP. We also illustrated that the cumulative power of GRS is greater over the single SNP effect. This is a pilot scale study with a relatively small sample size whose findings should be replicated in a larger sample size for the unique local Pakistani population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-023-03851-3. BioMed Central 2023-02-09 /pmc/articles/PMC9909889/ /pubmed/36759823 http://dx.doi.org/10.1186/s12887-023-03851-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sarwar, Sumbal
Shabana
Sajjad, Khadija
Hasnain, Shahida
Genetic studies in the Pakistani population reveal novel associations with ventricular septal defects (VSDs)
title Genetic studies in the Pakistani population reveal novel associations with ventricular septal defects (VSDs)
title_full Genetic studies in the Pakistani population reveal novel associations with ventricular septal defects (VSDs)
title_fullStr Genetic studies in the Pakistani population reveal novel associations with ventricular septal defects (VSDs)
title_full_unstemmed Genetic studies in the Pakistani population reveal novel associations with ventricular septal defects (VSDs)
title_short Genetic studies in the Pakistani population reveal novel associations with ventricular septal defects (VSDs)
title_sort genetic studies in the pakistani population reveal novel associations with ventricular septal defects (vsds)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909889/
https://www.ncbi.nlm.nih.gov/pubmed/36759823
http://dx.doi.org/10.1186/s12887-023-03851-3
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