Decoding the role of NOS3 rs1799983 and PON1 rs662 variants in cardiovascular diseases

Abstract Background Cardiovascular diseases (CVDs) are complex diseases determined by various environmental risk factors and genetic susceptibility, and NOS3 and PON1 are considered one of the susceptible genes for CVD. Our study aims to evaluate the association of NOS3 rs1799983 and PON1 rs662 vari...

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Main Authors: Kainat Aamir, Sara Aslam, Hafiz Muhammed Suleman, Ammara Khalid
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:Egyptian Journal of Medical Human Genetics
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Online Access:https://doi.org/10.1186/s43042-024-00613-3
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author Kainat Aamir
Sara Aslam
Hafiz Muhammed Suleman
Ammara Khalid
author_facet Kainat Aamir
Sara Aslam
Hafiz Muhammed Suleman
Ammara Khalid
author_sort Kainat Aamir
collection DOAJ
description Abstract Background Cardiovascular diseases (CVDs) are complex diseases determined by various environmental risk factors and genetic susceptibility, and NOS3 and PON1 are considered one of the susceptible genes for CVD. Our study aims to evaluate the association of NOS3 rs1799983 and PON1 rs662 variants with CVD. Methods A case–control study was conducted among equal number (252) of cases and controls in the Pakistani population to investigate the significance of NOS3 (rs1799983) and PON1 (rs662) variants in causing CVD risk. Genotyping was performed using Tetra-ARMS PCR to evaluate the genotype–phenotype correlation. For meta-analysis, the case–control studies of NOS3 rs1799983 and PON1 (rs662) variants and CVD were included by searching various databases according to PRISMA guideline. Eligible data were extracted and pooled and were analyzed using Review Manager version 5.4 based on four different genetic models. Results Our case–control study showed that both NOS3 rs1799983 (OR = 2.39, p =  < 0.0001, AIC value = 710.50) and PON1 rs662 (OR = 7.30, p =  < 0.0001, AIC value = 680.10) variants significantly increase the risk of CVD under recessive genetic contrast model. The meta-analysis of NOS3 rs1799983 showed association with CVD under all four genetic model's understudy, however, no heterogeneity was found under recessive model only. Meta-analysis for PON1 rs662 showed association with homozygous genetic contrast model only, whereas heterogeneity was observed under all the genetic model's understudy. Conclusions We found NOS3 rs1799983 was associated with the increased risk of CVD under four genetic contrast models, while PON1 rs662 polymorphisms associated with homozygous genetic contrast model in different populations only. These results can be utilized to identify individuals at high risk of CVDs and for disease management.
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spelling doaj-art-16493b4e874e4e46b8efb73f941f84202024-12-01T12:29:07ZengSpringerOpenEgyptian Journal of Medical Human Genetics2090-24412024-11-0125111110.1186/s43042-024-00613-3Decoding the role of NOS3 rs1799983 and PON1 rs662 variants in cardiovascular diseasesKainat Aamir0Sara Aslam1Hafiz Muhammed Suleman2Ammara Khalid3Institute of Microbiology and Molecular Genetics, University of the PunjabInstitute of Microbiology and Molecular Genetics, University of the PunjabInstitute of Microbiology and Molecular Genetics, University of the PunjabInstitute of Microbiology and Molecular Genetics, University of the PunjabAbstract Background Cardiovascular diseases (CVDs) are complex diseases determined by various environmental risk factors and genetic susceptibility, and NOS3 and PON1 are considered one of the susceptible genes for CVD. Our study aims to evaluate the association of NOS3 rs1799983 and PON1 rs662 variants with CVD. Methods A case–control study was conducted among equal number (252) of cases and controls in the Pakistani population to investigate the significance of NOS3 (rs1799983) and PON1 (rs662) variants in causing CVD risk. Genotyping was performed using Tetra-ARMS PCR to evaluate the genotype–phenotype correlation. For meta-analysis, the case–control studies of NOS3 rs1799983 and PON1 (rs662) variants and CVD were included by searching various databases according to PRISMA guideline. Eligible data were extracted and pooled and were analyzed using Review Manager version 5.4 based on four different genetic models. Results Our case–control study showed that both NOS3 rs1799983 (OR = 2.39, p =  < 0.0001, AIC value = 710.50) and PON1 rs662 (OR = 7.30, p =  < 0.0001, AIC value = 680.10) variants significantly increase the risk of CVD under recessive genetic contrast model. The meta-analysis of NOS3 rs1799983 showed association with CVD under all four genetic model's understudy, however, no heterogeneity was found under recessive model only. Meta-analysis for PON1 rs662 showed association with homozygous genetic contrast model only, whereas heterogeneity was observed under all the genetic model's understudy. Conclusions We found NOS3 rs1799983 was associated with the increased risk of CVD under four genetic contrast models, while PON1 rs662 polymorphisms associated with homozygous genetic contrast model in different populations only. These results can be utilized to identify individuals at high risk of CVDs and for disease management.https://doi.org/10.1186/s43042-024-00613-3NOS3PON1Rs1799983Rs662Cardiovascular diseasesRisk analysis
spellingShingle Kainat Aamir
Sara Aslam
Hafiz Muhammed Suleman
Ammara Khalid
Decoding the role of NOS3 rs1799983 and PON1 rs662 variants in cardiovascular diseases
Egyptian Journal of Medical Human Genetics
NOS3
PON1
Rs1799983
Rs662
Cardiovascular diseases
Risk analysis
title Decoding the role of NOS3 rs1799983 and PON1 rs662 variants in cardiovascular diseases
title_full Decoding the role of NOS3 rs1799983 and PON1 rs662 variants in cardiovascular diseases
title_fullStr Decoding the role of NOS3 rs1799983 and PON1 rs662 variants in cardiovascular diseases
title_full_unstemmed Decoding the role of NOS3 rs1799983 and PON1 rs662 variants in cardiovascular diseases
title_short Decoding the role of NOS3 rs1799983 and PON1 rs662 variants in cardiovascular diseases
title_sort decoding the role of nos3 rs1799983 and pon1 rs662 variants in cardiovascular diseases
topic NOS3
PON1
Rs1799983
Rs662
Cardiovascular diseases
Risk analysis
url https://doi.org/10.1186/s43042-024-00613-3
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AT hafizmuhammedsuleman decodingtheroleofnos3rs1799983andpon1rs662variantsincardiovasculardiseases
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