Literature DB >> 26256109

Identification of IDUA and WNT16 Phosphorylation-Related Non-Synonymous Polymorphisms for Bone Mineral Density in Meta-Analyses of Genome-Wide Association Studies.

Tianhua Niu1, Ning Liu2, Xun Yu2, Ming Zhao1, Hyung Jin Choi3,4, Paul J Leo5, Matthew A Brown5, Lei Zhang1,6, Yu-Fang Pei1, Hui Shen1, Hao He1, Xiaoying Fu1, Shan Lu2, Xiang-Ding Chen2, Li-Jun Tan2, Tie-Lin Yang7, Yan Guo7, Nam H Cho8, Jie Shen9, Yan-Fang Guo9, Geoffrey C Nicholson10, Richard L Prince11,12, John A Eisman13, Graeme Jones14, Philip N Sambrook15, Qing Tian1, Xue-Zhen Zhu7, Christopher J Papasian16, Emma L Duncan5,17, André G Uitterlinden18,19,20, Chan Soo Shin3, Shuanglin Xiang2, Hong-Wen Deng1,2.   

Abstract

Protein phosphorylation regulates a wide variety of cellular processes. Thus, we hypothesize that single-nucleotide polymorphisms (SNPs) that may modulate protein phosphorylation could affect osteoporosis risk. Based on a previous conventional genome-wide association (GWA) study, we conducted a three-stage meta-analysis targeting phosphorylation-related SNPs (phosSNPs) for femoral neck (FN)-bone mineral density (BMD), total hip (HIP)-BMD, and lumbar spine (LS)-BMD phenotypes. In stage 1, 9593 phosSNPs were meta-analyzed in 11,140 individuals of various ancestries. Genome-wide significance (GWS) and suggestive significance were defined by α = 5.21 × 10(-6) (0.05/9593) and 1.00 × 10(-4), respectively. In stage 2, nine stage 1-discovered phosSNPs (based on α = 1.00 × 10(-4)) were in silico meta-analyzed in Dutch, Korean, and Australian cohorts. In stage 3, four phosSNPs that replicated in stage 2 (based on α = 5.56 × 10(-3), 0.05/9) were de novo genotyped in two independent cohorts. IDUA rs3755955 and rs6831280, and WNT16 rs2707466 were associated with BMD phenotypes in each respective stage, and in three stages combined, achieving GWS for both FN-BMD (p = 8.36 × 10(-10), p = 5.26 × 10(-10), and p = 3.01 × 10(-10), respectively) and HIP-BMD (p = 3.26 × 10(-6), p = 1.97 × 10(-6), and p = 1.63 × 10(-12), respectively). Although in vitro studies demonstrated no differences in expressions of wild-type and mutant forms of IDUA and WNT16B proteins, in silico analyses predicts that WNT16 rs2707466 directly abolishes a phosphorylation site, which could cause a deleterious effect on WNT16 protein, and that IDUA phosSNPs rs3755955 and rs6831280 could exert indirect effects on nearby phosphorylation sites. Further studies will be required to determine the detailed and specific molecular effects of these BMD-associated non-synonymous variants.
© 2015 American Society for Bone and Mineral Research.

Entities:  

Keywords:  HUMAN ASSOCIATION STUDIES; META-ANALYSIS; OSTEOPOROSIS; SINGLE-NUCLEOTIDE POLYMORPHISM; WNT/BETA-CATENIN/LRPS

Mesh:

Substances:

Year:  2015        PMID: 26256109      PMCID: PMC5362379          DOI: 10.1002/jbmr.2687

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


  57 in total

1.  Sequence and structure-based prediction of eukaryotic protein phosphorylation sites.

Authors:  N Blom; S Gammeltoft; S Brunak
Journal:  J Mol Biol       Date:  1999-12-17       Impact factor: 5.469

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Authors:  Holly K Tabor; Neil J Risch; Richard M Myers
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Authors:  Lawrence A Kelley; Michael J E Sternberg
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4.  SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap.

Authors:  Andrew D Johnson; Robert E Handsaker; Sara L Pulit; Marcia M Nizzari; Christopher J O'Donnell; Paul I W de Bakker
Journal:  Bioinformatics       Date:  2008-10-30       Impact factor: 6.937

Review 5.  Skeletal morphogenesis during embryonic development.

Authors:  Yingzi Yang
Journal:  Crit Rev Eukaryot Gene Expr       Date:  2009       Impact factor: 1.807

6.  R753Q polymorphism inhibits Toll-like receptor (TLR) 2 tyrosine phosphorylation, dimerization with TLR6, and recruitment of myeloid differentiation primary response protein 88.

Authors:  Yanbao Xiong; Chang Song; Greg A Snyder; Eric J Sundberg; Andrei E Medvedev
Journal:  J Biol Chem       Date:  2012-09-19       Impact factor: 5.157

7.  Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025.

Authors:  Russel Burge; Bess Dawson-Hughes; Daniel H Solomon; John B Wong; Alison King; Anna Tosteson
Journal:  J Bone Miner Res       Date:  2007-03       Impact factor: 6.741

8.  PhosSNP for systematic analysis of genetic polymorphisms that influence protein phosphorylation.

Authors:  Jian Ren; Chunhui Jiang; Xinjiao Gao; Zexian Liu; Zineng Yuan; Changjiang Jin; Longping Wen; Zhaolei Zhang; Yu Xue; Xuebiao Yao
Journal:  Mol Cell Proteomics       Date:  2009-12-08       Impact factor: 5.911

9.  GPS 2.0, a tool to predict kinase-specific phosphorylation sites in hierarchy.

Authors:  Yu Xue; Jian Ren; Xinjiao Gao; Changjiang Jin; Longping Wen; Xuebiao Yao
Journal:  Mol Cell Proteomics       Date:  2008-05-06       Impact factor: 5.911

10.  Phosphorylation states of cell cycle and DNA repair proteins can be altered by the nsSNPs.

Authors:  Sevtap Savas; Hilmi Ozcelik
Journal:  BMC Cancer       Date:  2005-08-19       Impact factor: 4.430

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  14 in total

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Journal:  Nat Rev Rheumatol       Date:  2016-04-07       Impact factor: 20.543

2.  Osteocyte-specific WNT1 regulates osteoblast function during bone homeostasis.

Authors:  Kyu Sang Joeng; Yi-Chien Lee; Joohyun Lim; Yuqing Chen; Ming-Ming Jiang; Elda Munivez; Catherine Ambrose; Brendan H Lee
Journal:  J Clin Invest       Date:  2017-06-19       Impact factor: 14.808

3.  Why SNP rs3755955 is associated with human bone mineral density? A molecular and cellular study in bone cells.

Authors:  Pei He; Fei Jiang; Long-Fei Wu; Xu Zhou; Shu-Feng Lei; Fei-Yan Deng
Journal:  Mol Cell Biochem       Date:  2021-11-16       Impact factor: 3.396

4.  A WNT protein therapeutic improves the bone-forming capacity of autografts from aged animals.

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Journal:  Sci Rep       Date:  2018-01-08       Impact factor: 4.379

5.  A meta-analysis of associations of LEPR Q223R and K109R polymorphisms with Type 2 diabetes risk.

Authors:  Yunzhong Yang; Tianhua Niu
Journal:  PLoS One       Date:  2018-01-02       Impact factor: 3.240

6.  Functional annotation of Alzheimer's disease associated loci revealed by GWASs.

Authors:  Zengpeng Han; Han Huang; Yue Gao; Qingyang Huang
Journal:  PLoS One       Date:  2017-06-26       Impact factor: 3.240

7.  KCNJ11, ABCC8 and TCF7L2 polymorphisms and the response to sulfonylurea treatment in patients with type 2 diabetes: a bioinformatics assessment.

Authors:  Jingwen Song; Yunzhong Yang; Franck Mauvais-Jarvis; Yu-Ping Wang; Tianhua Niu
Journal:  BMC Med Genet       Date:  2017-06-06       Impact factor: 2.103

8.  Genetic risk score based on the prevalence of vertebral fracture in Japanese women with osteoporosis.

Authors:  Heying Zhou; Seijiro Mori; Tatsuro Ishizaki; Atsushi Takahashi; Koichi Matsuda; Yukihiro Koretsune; Shiro Minami; Masahiko Higashiyama; Shinji Imai; Kozo Yoshimori; Minoru Doita; Akira Yamada; Satoshi Nagayama; Kazuo Kaneko; Satoshi Asai; Masaki Shiono; Michiaki Kubo; Hideki Ito
Journal:  Bone Rep       Date:  2016-07-12

9.  Common and rare variants of WNT16, DKK1 and SOST and their relationship with bone mineral density.

Authors:  Núria Martínez-Gil; Neus Roca-Ayats; Anna Monistrol-Mula; Natàlia García-Giralt; Adolfo Díez-Pérez; Xavier Nogués; Leonardo Mellibovsky; Daniel Grinberg; Susana Balcells
Journal:  Sci Rep       Date:  2018-07-19       Impact factor: 4.379

10.  IDUA Gene Variants and Response to Zoledronic Acid Treatment in Chinese Women with Postmenopausal Osteoporosis.

Authors:  Haiqing Lin; Jin Li; Zhonghua Xu; Ting Liu; Xindie Zhou
Journal:  Pharmgenomics Pers Med       Date:  2021-07-13
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