Genetic Variant in the CYP19A1 Gene Associated with Coronary Artery Disease

Bampali, Konstantina; Grassos, Charalampos; Mouzarou, Angeliki; Liakos, C.; Mertzanos, Georgios; Lamnissou, Klea; Babalis, Dimitrios

doi:10.1155/2015/820323

Cited by 7 publications

(4 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For the rs10,046 polymorphism of CYP19gene, the exact functional activity is not clearly understood, and it seems not to have an autonomous function, but it has been claimed that in conjunction with other polymorphisms, the rs10,046 polymorphism may influence the levels of mRNA and its stability (Bampali et al, 2015), so it can be associated with altered levels of the aromatase enzyme and affected estrogen metabolism.…”

Section: Discussionmentioning

confidence: 99%

Analysis of CYP17, CYP19 and CYP1A1 Gene Polymorphisms in Iranian Women with Breast Cancer

Farzaneh¹,

Noghabaei²,

Barouti³

et al. 2016

Asian Pacific Journal of Cancer Prevention

View full text Add to dashboard Cite

Breast cancer (BC) is the most common cancer and the second cause of mortality in women all around the world. It is caused by several factors including genetic determinants, so that both genetic susceptibility factors and environmental factors are involved in the etiology. Significance of genes functioning in steroid hormone synthesis and metabolism are well established in breast cancer susceptibility. In this study, 134 women with BC and 135 normal controls were analyzed for their genotypes for the polymorphisms, rs743572, rs10046 and rs4646903, resided in CYP17, CYP19 and CYP1A1 genes, respectively. Significant differences in distributions of allele and genotype frequencies were found for the rs10046 polymorphism in CYP19 (p-value=0.01, OR (CI 95%) =1.59 (1.1-2.3), p-value=0.04, OR (CI 95%) =1.7 (1.1-2.5) respectively). For rs743,572 and rs 4646903 polymorphisms, no significant associations were observed. A significant association was observed between the rs10046 polymorphism of the CYP19gene and breast cancer in Iranian patients. Due to inconsistent previous results, more studies in different populations with larger sample sizes are indicated.

show abstract

Section: Discussionmentioning

confidence: 99%

Analysis of CYP17, CYP19 and CYP1A1 Gene Polymorphisms in Iranian Women with Breast Cancer

Farzaneh¹,

Noghabaei²,

Barouti³

et al. 2016

Asian Pacific Journal of Cancer Prevention

View full text Add to dashboard Cite

show abstract

“…In the meantime, variations in this gene have the ability to fluctuate the levels of circulating hormones which allude to speculate that the polymorphisms such as rs10046, a T/C substitution at the 3' untranslated region of CYP19A1 gene, are having an impact on breast cancer risk (31) . The exact function of this polymorphism is properly unknown, yet it has been claimed that this may lead to influence levels of mRNA and its stability (32) , therefore it can be associated with altered levels of the aromatase enzyme and affected estrogen metabolism. This rs10046 polymorphism was examined extensively in different populations.…”

Section: Discussionmentioning

confidence: 99%

Association between CYP17A1, CYP19A1, and HSD17B1 Gene Polymorphisms in Hormone Synthesis pathway with Ovarian Cancer Risk

Francis

Paul

et al. 2020

Preprint

View full text Add to dashboard Cite

Objective: To investigate the polymorphisms of genes in the steroidogenesis pathway to understand the etiological mechanisms to OC risk in the South Indian population Design: Case-Control Study Setting and Sample: Ovarian cancer cases (200) and healthy individuals (200) from the South Indian population. Methods: All the cases and controls were genotyped for SNPs by using allelic discrimination assay. Main outcome measures: Genetic distribution of SNPs of Steroidogenesis pathway genes in the South Indian population. Results: The observed results for rs743752, the homozygous CC genotype revealed significant association (OR; 1.68; 95%CI, 1.25-2.26; p =<0.05) and the dominant model, recessive model and additive model showed a significant association with an OR of 1.62; 95%CI, 1.09-2.42; p = 0.015, OR of 0.29, 95%CI, 0.14-0.60; p = <0.001 and OR of 1.68, 95%CI, 1.25-2.26); p = <0.001 respectively in cases and controls for OC risk. In rs10046, the heterozygous CT genotype (OR; 1.61; 95%CI 1.06-2.43; p = 0.023), the dominant (OR; 1.65; 95%CI, 1.11-2.45; p = 0.012) and the additive (OR; 1.46; 95%CI, 1.07-1.98; p = 0.015) models were found to be statistically significant. There was no significant association between rs605059 genotypes with ovarian cancer risk. Conclusions: To conclude, results indicated that the polymorphisms of CYP17A1 (rs743572) and CYP19A1 (rs10046) genes are associated with increased risk of ovarian cancer risk in South Indian population.

show abstract

“…В исследовании Letonja M, et al (2005) авторы пришли к выводу, что у субъектов европеоидной расы ОНП повторов (TTTA)n не влияет на генетическую предрасположенность к ИБС [60]. Bampali K, et al (2015) провели обследование 189 мужчин и женщин, которые показали, что у мужчин ОНП rs10046 (C/T) гена CYP19A1 коррелирует с ИБС, и, что носители аллеля C имеют более высокую вероятность развития заболевания [61].…”

Section: гены белков связанных с рецептором лпн 5 и 6 типов (Lrp5 и Lrp6)unclassified

Arterial calcification, atherosclerosis and osteoporosis: only clinical associations or a genetic platform?

Скрипникова¹,

Kolchina²,

Мешков³

et al. 2021

Cardiovasc Ther Prev

View full text Add to dashboard Cite

The review is devoted to the comorbidity of two multifactorial diseases — atherosclerosis and osteoporosis. Numerous epidemiological, experimental and clinical studies have confirmed the relationship between these diseases based on common risk factors and pathogenetic mechanisms. At the same time, to assess the associations between osteoporosis and atherosclerosis-related cardiovascular diseases, the following surrogate markers are used: vascular calcification, vascular stiffness, bone mineral density. It is known that atherosclerosis and osteoporosis depend on the human genotype, and they are caused by the interaction between the environment and genes. The modifiable risk factors for these diseases are largely similar, and the common features of atherosclerosis and osteoporosis pathogenesis make it possible to formulate the concept of a unified genetic basis of their development. Advances in molecular technology have made it possible to conduct a genome-wide association study (GWAS) and successfully identify genetic markers associated with both atherosclerosis and osteoporosis. The review aim was to describe the genes associated with developing atherosclerosis, arterial calcification and osteoporosis, as well as to provide information on the current understanding of the general genetic basis for plaque formation, vascular calcium deposition, and a decrease in bone mass. The analysis of publications from the PubMed, Medline, Web of Science and Cochrane Library databases since 2000 have been carried out. The article describes the genetic markers associated with atherosclerosis and osteoporosis, as well as considers the achievements in studying genetics of osteoporosis and atherosclerosis-related cardiovascular diseases. In addition, modern approaches and directions for further research of these diseases was established. The review can be useful for medical practitioners to clarify various genetic associations and mechanisms that lead to this comorbidity.

show abstract

Genetic Variant in the CYP19A1 Gene Associated with Coronary Artery Disease

Cited by 7 publications

References 35 publications

Analysis of CYP17, CYP19 and CYP1A1 Gene Polymorphisms in Iranian Women with Breast Cancer

Analysis of CYP17, CYP19 and CYP1A1 Gene Polymorphisms in Iranian Women with Breast Cancer

Association between CYP17A1, CYP19A1, and HSD17B1 Gene Polymorphisms in Hormone Synthesis pathway with Ovarian Cancer Risk

Arterial calcification, atherosclerosis and osteoporosis: only clinical associations or a genetic platform?

Contact Info

Product

Resources

About