| Literature DB >> 33499313 |
Puneetpal Singh1, Monica Singh1, Rubanpal Khinda1, Srishti Valecha1, Nitin Kumar1, Surinderpal Singh2, Pawan K Juneja2, Taranpal Kaur3, Sarabjit Mastana4.
Abstract
The present study aimed to examine the participation and contribution of endothelial nitric oxide synthase (eNOS), angiotensin converting enzyme (ACE) and vascular endothelial growth factor (VEGFA) genes for the risk of endothelial dysfunction (ED)-associated osteoporosis risk in postmenopausal women of Punjab, India. Women with ED were categorized into women with osteoporosis (n = 346) and women without osteoporosis (n = 330). They were examined for selected SNPs within eNOS, ACE and VEGFA genes. Linear regression analysis revealed a positive association of ED with bone mineral densities (BMDs) at femoral neck (r2 = 0.78, p < 0.001) and lumbar spine (r2 = 0.24, p = 0.001) after Bonferroni correction. Three susceptibility haplotypes were exposed within eNOS (CTAAAT), ACE (ACDG) and VEGFA (GATA) genes. Bearers of CTAAAT (OR 2.43, p = 0.007), ACDG (OR 2.50, p = 0.002) and GATA (OR 2.10, p = 0.009) had substantial impact for osteoporosis after correcting the effects with traditional risk factors (TRD).With uncertainty measure (R2h) and Akaike information criterion (AIC), best fit models showed that CTAAAT manifested in multiplicative mode (β ± SE: 2.19 ± 0.86, p < 0.001), whereas ACDG (β ± SE: 1.73 ± 0.54, p = 0.001) and GATA (β ± SE: 3.07 ± 0.81, p < 0.001) expressed in dominant modes. Area under receiver operating characteristic curve using weighted risk scores (effect estimates) showed substantial strength for model comprising TRD + GATA (AUC = 0.8, p < 0.001) whereas, model comprising TRD + GATA + CTAAAT exhibited excellent ability to predict osteoporosis (AUC = 0.824, p < 0.001).Entities:
Keywords: SNP-SNP interactions; bone mineral density; endothelial dysfunction; genetic models; haplotypes; osteoporosis; predictive models
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Year: 2021 PMID: 33499313 PMCID: PMC7908366 DOI: 10.3390/ijerph18030972
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390