Vitamin D receptor gene polymorphism, bone mineral density and 25(OH)D level in women with оsteopоrosis
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Published:2020-12-05
Issue:4
Volume:17
Page:480-492
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ISSN:2524-2350
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Container-title:Proceedings of the National Academy of Sciences of Belarus, Medical series
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language:
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Short-container-title:Vescì Nac. akad. navuk Belarusì, Ser. med. navuk
Author:
Rudenka A. V.1, Rudenka E. V.2, Samokhovec V. Yu.3, Kobets K. V.4, Marozik P. M.4
Affiliation:
1. Belarusian Medical Academy of Postgraduate Education 2. Belarusian State Medical University 3. City Center for Osteoporosis and Bone-Muscular Diseases Prevention 4. Institute of Genetics and Cytology of the National Academy of Sciences of Belarus
Abstract
Vitamin D plays an important role in bone metabolism and pathology. Although the VDR gene is one of the most studied determinants of bone mineral density (BMD) and osteoporosis (OP), its exact effects have yet to be established. Prediction of OP and/or fracture risk, based on individual genetic profile, is of high importance. The aim of our study was to develop prognostic model for postmenopausal OP individual risk evaluation in Belarusian women, based on the analysis of VDR gene variants. Case group included women with postmenopausal OP (n = 350), the control group comprised of women with normal BMD and without previous fragility fractures (n = 243). VDR gene ApaI rs7975232, BsmI rs1544410, TaqI rs731236, FokI rs2228570 and Cdx2 rs11568820 variants were determined using TaqMan genotyping assays. We revealed a significant association of single ApaI A/A (p = 0.045), BsmI T/T (p = 0.015) and TaqI G/G (p = 0.005) variants and their A-T-G-haplotype (OR = 4.6, p = 0.003) with increased OP risk. Together with Cdx2 rs11568820, these variants correlated with BMD (p <0.05 in all cases). For the bearers of non-favorable alleles of VDR gene variants, the serum 25(OH)D level was significantly increased. The constructed from informative VDR gene variants model of individual OP risk evaluation possessed a good prognostic value (AUC = 0.79) with high sensitivity level (82.9 %) and average specificity (69.4 %). Our findings highlight the importance of analyzed VDR gene variants for personalized OP risk prediction.
Publisher
Publishing House Belorusskaya Nauka
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