Literature DB >> 23875063

Genetic epidemiology of osteoporosis across four microsatellite markers near the VDR gene.

Mehrunnisa Raje1, Chaitali Botre, Richa Ashma.   

Abstract

The large amount of positive genetic association data in a number of bone diseases suggests functional consequences of Vitamin D receptor (VDR) gene polymorphism. In the present study, four microsatellite markers viz., D12S1633, D12S1635, D12S347, and D12S96, that lie in the vicinity of the VDR gene on chromosome 12 were selected to assess the allele distribution pattern and diversity among three groups of individuals - normal, osteopenia and osteoporosis. Genetic association study was performed using allele frequency data. Total genomic DNA was isolated from the whole blood of 226 individuals, after recording their bone mineral density (BMD) using Dual X-ray absorptiometry (DXA). All DNA samples were subjected to multiplex Polymerase Chain Reaction (PCR) - genotyping. Allele frequencies and genetic diversity parameters like - number of alleles, average variance and average heterozygosity across all the four markers among three groups were computed. Effect of population stratification was excluded by investigating population structure. A trend of decreasing genetic diversity across four loci from normal to pre- and post-disease condition has been observed. Lesser recombination rate (θ) indicates linkage between studied microsatellite markers and VDR gene. Statistically significant linkage disequilibrium was detected for the allele - 22 of locus D12S96 with osteoporosis. A positive association of allele - 22 suggests susceptibility to disease whereas predominance of allele - 27 among non - diseased group implicates its association with normal bone health.

Entities:  

Keywords:  Genetic diversity; VDR; microsatellites; osteopenia; osteoporosis

Year:  2013        PMID: 23875063      PMCID: PMC3709114     

Source DB:  PubMed          Journal:  Int J Mol Epidemiol Genet        ISSN: 1948-1756


  26 in total

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4.  Promoter and 3'-untranslated-region haplotypes in the vitamin d receptor gene predispose to osteoporotic fracture: the rotterdam study.

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Journal:  Am J Hum Genet       Date:  2005-09-26       Impact factor: 11.025

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Journal:  Hum Mol Genet       Date:  1993-08       Impact factor: 6.150

6.  A powerful likelihood method for the analysis of linkage disequilibrium between trait loci and one or more polymorphic marker loci.

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Journal:  Am J Hum Genet       Date:  1995-03       Impact factor: 11.025

Review 7.  Genetic regulation of bone mass and susceptibility to osteoporosis.

Authors:  Stuart H Ralston; Benoit de Crombrugghe
Journal:  Genes Dev       Date:  2006-09-15       Impact factor: 11.361

8.  Microsatellite variation and recombination rate in the human genome.

Authors:  B A Payseur; M W Nachman
Journal:  Genetics       Date:  2000-11       Impact factor: 4.562

9.  Vitamin D receptor gene polymorphisms and bone mineral density in postmenopausal Indian women.

Authors:  Sumegha Mitra; Meena Desai; M Ikram Khatkhatay
Journal:  Maturitas       Date:  2006-02-07       Impact factor: 4.342

10.  Vitamin D receptor gene polymorphism(s) and breast cancer risk in north Indians.

Authors:  Anurupa Chakraborty; Ashwani K Mishra; Abha Soni; Thodum Regina; R Mohil; D Bhatnagar; A Bhatnagar; Chintamani Chintamani; P C Sharma; Sunita Saxena
Journal:  Cancer Detect Prev       Date:  2009
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3.  Polymorphisms in the vitamin D receptor gene and the lung cancer risk.

Authors:  Yingjv Fu; Junrui Li; Yuanyue Zhang
Journal:  Tumour Biol       Date:  2013-09-26

4.  The polymorphism of Insulin-like growth factor-I (IGF-I) is related to osteoporosis and bone mineral density in postmenopausal population.

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Journal:  Pak J Med Sci       Date:  2014-01       Impact factor: 1.088

Review 5.  Common polymorphism in the LRP5 gene may increase the risk of bone fracture and osteoporosis.

Authors:  Guang-Yue Xu; Yong Qiu; Hai-Jun Mao
Journal:  Biomed Res Int       Date:  2014-12-14       Impact factor: 3.411

6.  Developing an ultra-efficient microsatellite discoverer to find structural differences between SARS-CoV-1 and Covid-19.

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  6 in total

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