Literature DB >> 24067544

Association between osteoprotegerin genetic variants and osteoporosis in Chinese postmenopausal women.

Fengbin Yu1, Xiaoxing Huang, Jinhao Miao, Long Guo, Degang Tao.   

Abstract

The objective of this study was to evaluate the association of single nucleotide polymorphisms (SNPs) of osteoprotegerin gene (OPG) with bone mineral density (BMD) and osteoporosis. A total of 338 Chinese postmenopausal women with primary osteoporosis and 367 healthy controls were enrolled. The lumbar spine (L₂₋₄), total hip and femoral neck hip of BMD were assessed by dual-energy X-ray absorptiometry (DEXA). OPG genetic variants were genotyped through polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), created restriction site-PCR (CRS-PCR) and DNA sequencing methods. In this study, the g.18861A>G and g.25548C>T SNPs were detected and our data suggested that the significant differences of spine BMD, femoral neck hip BMD and total hip BMD were found among different g.18861A>G genotype, subjects with the AA genotype were significantly higher than those of AG and GG genotypes (p < 0.05). The g.25548C>T variant was not significantly associated with spine BMD, femoral neck hip BMD and total hip BMD (p > 0.05), while almost reached at the significant level in total hip BMD (p = 0.061). These findings suggeste that OPG gene variants are related to BMD and osteoporosis in Chinese postmenopausal women.

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Year:  2013        PMID: 24067544     DOI: 10.1507/endocrj.ej13-0308

Source DB:  PubMed          Journal:  Endocr J        ISSN: 0918-8959            Impact factor:   2.349


  2 in total

1.  Association analysis between g.18873C>T and g.27522G>A genetic polymorphisms of OPG and bone mineral density in Chinese postmenopausal women.

Authors:  Fei Wang; Yi Cao; Fang Li; Jianlin Shan; Tianlin Wen
Journal:  Biomed Res Int       Date:  2014-12-15       Impact factor: 3.411

2.  Association between osteoprotegerin gene T950C polymorphism and osteoporosis risk in the Chinese population: Evidence via meta-analysis.

Authors:  Shouyi Li; Huiqiang Jiang; Ningke Du
Journal:  PLoS One       Date:  2017-12-18       Impact factor: 3.240

  2 in total

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