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Methylenetetrahydrofolate reductase (MTHFR) C677T and A1298C polymorphisms in Turkish postmenopausal women with
Fulya Doğaner1, Ahu Soyocak2, Didem Turgut Coşan3
1Department of Molecular Biology and Genetics, Faculty of Science and Letters, Aksaray University, Aksaray, Turkiye.
Abstract:
Osteoporosis is a common age-related skeletal disease, characterized by changes in the microarchitectural structure of bone tissue and decreased bone mass, especially affecting postmenopausal women. Genetic and environmental factors affecting bone metabolism play a role in the development of osteoporosis. Methylenetetrahydrofolate reductase (MTHFR) is an important enzyme involved in the conversion of homocysteine to methionine. Genetic variations in the MTHFR gene lead to impaired function or inactivation of this enzyme. A decrease in MTHFR enzyme activity and an increase in homocysteine levels affect bone metabolism. In this study, we aimed to investigate the relationship between C677T and A1298C polymorphisms and osteoporosis in Turkish postmenopausal women. DNA samples were extracted from 200 volunteers. The PCR-RFLP technique was used to identify the MTHFR gene polymorphisms C677T and A1298C. The statistical significance of the analysis's results was assessed. C677T genotype and allele frequency distributions were not statistically different between postmenopausal osteoporosis and healthy control groups (p = 0.249, p = 0.754), while A1298C genotype and allele frequency distributions were found to be statistically significant (p = 0.002, p = 0.013). The results of our study showed that the A1298C polymorphism may be a genetic factor associated with osteoporosis in this specific population. However, the C677T polymorphism did not show a significant connection. To gain a more comprehensive understanding of the genetic basis of osteoporosis, future research with larger sample sizes and the consideration of additional genetic and environmental factors is essential. Additionally, it is crucial to account for ethnic disparities, gene-gene interactions, and gene-environment interplays. These insights can inform the development of personalized preventive and therapeutic strategies for individuals at risk of osteoporosis in diverse populations.
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