Literature DB >> 23045156

Gene-gene interaction between RBMS3 and ZNF516 influences bone mineral density.

Tie-Lin Yang1, Yan Guo, Jian Li, Lei Zhang, Hui Shen, Siyang M Li, Siyuan K Li, Qing Tian, Yong-Jun Liu, Christopher J Papasian, Hong-Wen Deng.   

Abstract

Osteoporosis is characterized by low bone mineral density (BMD), a highly heritable trait that is determined, in part, by the actions and interactions of multiple genes. Although an increasing number of genes have been identified to have independent effects on BMD, few studies have been performed to identify genes that interact with one another to affect BMD. In this study, we performed gene-gene interaction analyses in selected candidate genes in individuals with extremely high versus low hip BMD (20% tails of the distributions), in two independent U.S. Caucasian samples. The first sample contained 916 unrelated subjects with extreme hip BMD Z-scores selected from a population composed of 2286 subjects. The second sample consisted of 400 unrelated subjects with extreme hip BMD Z-scores selected from a population composed of 1000 subjects. Combining results from these two samples, we found one interacting gene pair (RBMS3 versus ZNF516) which, even after Bonferroni correction for multiple testing, showed consistently significant effects on hip BMD. RMBS3 harbored two single-nucleotide polymorphisms (SNPs), rs6549904 and rs7640046, both of which had significant interactions with an SNP, rs4891159, located on ZNF516 (p = 7.04 × 10(-11) and 1.03 × 10(-10) ). We further validated these results in two additional samples of Caucasian and African descent. The gene pair, RBMS3 versus ZNF516, was successfully replicated in the Caucasian sample (p = 8.07 × 10(-3) and 2.91 × 10(-3) ). For the African sample, a significant interaction was also detected (p = 0.031 and 0.043), but the direction of the effect was opposite to that observed in the three Caucasian samples. By providing evidence for genetic interactions underlying BMD, this study further delineates the genetic architecture of osteoporosis.
Copyright © 2013 American Society for Bone and Mineral Research.

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Year:  2013        PMID: 23045156      PMCID: PMC4127986          DOI: 10.1002/jbmr.1788

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  47 in total

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Journal:  Hum Genet       Date:  2005-10-26       Impact factor: 4.132

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8.  An integration of genome-wide association study and gene expression profiling to prioritize the discovery of novel susceptibility Loci for osteoporosis-related traits.

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Journal:  PLoS Genet       Date:  2011-04-21       Impact factor: 5.917

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  11 in total

1.  RBMS3 versus ZNF516: interaction between SNPs in two genes impacts on BMD.

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Journal:  Eur J Hum Genet       Date:  2018-01-18       Impact factor: 4.246

3.  Detecting epistasis within chromatin regulatory circuitry reveals CAND2 as a novel susceptibility gene for obesity.

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Journal:  Int J Obes (Lond)       Date:  2018-05-01       Impact factor: 5.095

4.  Assessing the genetic correlations between early growth parameters and bone mineral density: A polygenic risk score analysis.

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Journal:  Bone       Date:  2018-08-30       Impact factor: 4.398

5.  Epigenomic elements analyses for promoters identify ESRRG as a new susceptibility gene for obesity-related traits.

Authors:  S-S Dong; Y Guo; D-L Zhu; X-F Chen; X-M Wu; H Shen; X-D Chen; L-J Tan; Q Tian; H-W Deng; T-L Yang
Journal:  Int J Obes (Lond)       Date:  2016-03-22       Impact factor: 5.095

6.  Deficiency of ATP6V1H Causes Bone Loss by Inhibiting Bone Resorption and Bone Formation through the TGF-β1 Pathway.

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Journal:  Theranostics       Date:  2016-09-13       Impact factor: 11.556

7.  ZNF516 suppresses EGFR by targeting the CtBP/LSD1/CoREST complex to chromatin.

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Review 8.  V-ATPases and osteoclasts: ambiguous future of V-ATPases inhibitors in osteoporosis.

Authors:  Xiaohong Duan; Shaoqing Yang; Lei Zhang; Tielin Yang
Journal:  Theranostics       Date:  2018-10-26       Impact factor: 11.556

9.  Assessing the Genetic Correlations Between Blood Plasma Proteins and Osteoporosis: A Polygenic Risk Score Analysis.

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Journal:  Calcif Tissue Int       Date:  2018-10-10       Impact factor: 4.333

10.  Analysis of SNP-SNP interactions and bone quantitative ultrasound parameter in early adulthood.

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Journal:  BMC Med Genet       Date:  2017-10-03       Impact factor: 2.103

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