Literature DB >> 33174933

VEGF gene rs35569394 polymorphism in patients with Polycystic Ovary Syndrome.

Sheila Silveira Fernandes1, Alessandra Bernadete Trovó de Marqui2, Daniela Reis Fernandes Teles3, Elisabete Aparecida Montovani Rodrigues Resende4, Marco Fábio Prata Lima5, Mariana Kefalas Oliveira Gomes5, Mariangela Torreglosa Ruiz Cintra6.   

Abstract

OBJECTIVE: The relationship between the clinicopathological and sociodemographics characteristics of acral melanomas diagnosed at
BACKGROUND: This study aimed to investigate the frequency of VEGF gene insertion (I) / deletion (D) polymorphism (rs35569394) in patients with Polycystic Ovarian Syndrome (PCOS) and to compare with a control population to verify its association with the pathology.
METHODS: 206 women participated in this study, 103 with PCOS (group of patients) and 103 without the disease (control group). After extraction of genomic DNA from the samples, molecular analysis was performed by Polymerase Chain Reaction (PCR) and electrophoresis in polycrylamide. Descriptive analysis, univariate analysis and logistic regression model were used. Results were presented in odds ratio (OR) and 95% confidence interval (95% CI), considering the significance of p <0.05.
RESULTS: There were no statistical differences between patients and controls for allele frequencies (χ2 = 1.16, p = 0.56). The genotypic frequency distribution was in Hardy Weinberg equilibrium for the patients (χ2 = 2.42; p <0.05), but not for the control group (χ2 = 7.26; p <0.05). Regarding risk factors for the syndrome, a history of familial PCOS is more frequent among women with the syndrome.
CONCLUSIONS: In the present study, there is no association between VEGF gene I / D polymorphism and PCOS.

Entities:  

Year:  2020        PMID: 33174933     DOI: 10.1590/1806-9282.66.10.1396

Source DB:  PubMed          Journal:  Rev Assoc Med Bras (1992)        ISSN: 0104-4230            Impact factor:   1.209


  1 in total

1.  Correlation Analysis of Vaspin Gene Polymorphisms and Polycystic Ovary Syndrome Based on Intelligent Medicine.

Authors:  Yingjie Tang; Ting Huang; Yingzheng Pan
Journal:  Comput Intell Neurosci       Date:  2022-05-16
  1 in total

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