Quantitative Assessment of the Association between Polymorphisms in Osteoprotegerin Gene and Risk of Low Bone Mineral Density

Authors

  • Felipe Rodolfo Pereira da Silva Federal University of Piaui, Av. São Sebastião, nº 2819, Reis Veloso, CEP 64204-035, Parnaíba, PI, Brazil.
  • Any Carolina Cardoso Guimarães Vasconcelos Mauricio Nassau College, BR 343 Km 7,5 S/N, Floriópolis, Parnaiba, PI, Brazil.
  • Geofabio Sucupira Casimiro Federal University of Campina Grande, Av. Sergio Moreira de Figueiredo, Casas Populares, S/N, 58900-000, Cajazeiras, PB, Brazil.
  • Larissa dos Santos Pessoa Federal University of Piaui, Av. São Sebastião, nº 2819, Reis Veloso, CEP 64204-035, Parnaíba, PI, Brazil.
  • Antonio de Pádua Rocha Nóbrega Neto Federal University of Piaui, Av. São Sebastião, nº 2819, Reis Veloso, CEP 64204-035, Parnaíba, PI, Brazil.
  • Daniel Fernando Pereira Vasconcelos Federal University of Piaui, Av. São Sebastião, nº 2819, Reis Veloso, CEP 64204-035, Parnaíba, PI, Brazil.

DOI:

https://doi.org/10.3823/1768

Keywords:

Osteoclast, Alleles, Meta-analysis, Osteoporosis, Genetic Variation.

Abstract

Background: Low bone mineral density (BMD) predisposes to osteoporosis and elevated risk of fractures. Osteoprotegerin is a soluble molecule associated to metabolism of bone tissue with inhibition of osteoclast-differentiation. Several studies determined the relation among polymorphisms in osteoprotegerin gene and low BMD, but the results are contradictory, so an evaluation about these polymorphisms is necessary. This study carried out a meta-analysis to four polymorphisms in osteoprotegerin gene (A163G, G1181C, T950C, T245G).

Methods: A search in literature was made to identify studies with relevant information. The data was extracted by two investigators independently, following a standardized form. The statistical software Review Manager version 5.2 was used to calculation of heterogeneity (I²), Odds Ratio (OR) and Funnel plots with P<0.05.

Results: Nineteen papers with twenty-one eligible studies with 5,120 patients and 4,386 controls were identified. G allele was associated to case group in A163G, G1181C and T245G polymorphisms (OR = 1.27, 95% CI 1.10, 1.46, P = 0.0010; OR = 1.25, 95% CI 1.14, 1.37, P < 0.00001; OR = 1.24, 95% CI 1.05, 1.48, P = 0.01, respectively). In T950C polymorphism, T allele neither C allele was associated to risk of bone low mineral density. No bias of publication was found in this analysis.

Conclusion: This meta-analysis with 5,120 patients with low bone mineral density and 4,386 controls showed significant association among G alleles in A163G, G1181C and T245G polymorphism and increased risk of low BMD, T950C polymorphism was not significantly associated to risk of low bone mineral density.

Author Biographies

Felipe Rodolfo Pereira da Silva, Federal University of Piaui, Av. São Sebastião, nº 2819, Reis Veloso, CEP 64204-035, Parnaíba, PI, Brazil.

Biomedicine School.

Any Carolina Cardoso Guimarães Vasconcelos, Mauricio Nassau College, BR 343 Km 7,5 S/N, Floriópolis, Parnaiba, PI, Brazil.

Assistant Professor, Department of Physical Therapy, Mauricio Nassau College, Parnaiba – PI, Brazil.

Geofabio Sucupira Casimiro, Federal University of Campina Grande, Av. Sergio Moreira de Figueiredo, Casas Populares, S/N, 58900-000, Cajazeiras, PB, Brazil.

Professor, Biomedicine School.

Larissa dos Santos Pessoa, Federal University of Piaui, Av. São Sebastião, nº 2819, Reis Veloso, CEP 64204-035, Parnaíba, PI, Brazil.

Biomedicine School

Antonio de Pádua Rocha Nóbrega Neto, Federal University of Piaui, Av. São Sebastião, nº 2819, Reis Veloso, CEP 64204-035, Parnaíba, PI, Brazil.

Master Student, Post Graduate Program in Biomedical Sciences, Federal University of Piaui, Parnaiba – PI, Brazil.

Daniel Fernando Pereira Vasconcelos, Federal University of Piaui, Av. São Sebastião, nº 2819, Reis Veloso, CEP 64204-035, Parnaíba, PI, Brazil.

Adjunct Professor; School of Physiotherapy, Federal University of Piaui, Parnaiba-PI, Brazil.

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Published

2015-07-22

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Section

Traumatology and Orthopedics

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