|
1
|
Choksi P, Jepsen KJ and Clines GA: The
challenges of diagnosing osteoporosis and the limitations of
currently available tools. Clin Diabetes Endocrinol. 4:122018.
View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Coughlan T and Dockery F: Osteoporosis and
fracture risk in older people. Clin Med (Lond). 14:187–191. 2014.
View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Jackson RD and Mysiw WJ: Insights into the
epidemiology of postmenopausal osteoporosis: The Women's Health
Initiative. Semin Reprod Med. 32:454–462. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Suzuki T, Shimoda T, Takahashi N, Tsutsumi
K, Samukawa M, Yoshimura S and Ogasawara K: Factors Affecting Bone
Mineral Density Among Snowy Region Residents in Japan: Analysis
Using Multiple Linear Regression and Bayesian Network Model.
Interact J Med Res. 7:e102018. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Del Real A, Riancho-Zarrabeitia L,
Lopez-Delgado L and Riancho JA: Epigenetics of Skeletal Diseases.
Curr Osteoporos Rep. 16:246–255. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Liu CT, Karasik D, Zhou Y, Hsu YH, Genant
HK, Broe KE, Lang TF, Samelson EJ, Demissie S, Bouxsein ML, et al:
Heritability of prevalent vertebral fracture and volumetric bone
mineral density and geometry at the lumbar spine in three
generations of the Framingham study. J Bone Miner Res. 27:954–958.
2012. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Liu YZ, Liu YJ, Recker RR and Deng HW:
Molecular studies of identification of genes for osteoporosis: The
2002 update. J Endocrinol. 177:147–196. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Liu YJ, Shen H, Xiao P, Xiong DH, Li LH,
Recker RR and Deng HW: Molecular genetic studies of gene
identification for osteoporosis: A 2004 update. J Bone Miner Res.
21:1511–1535. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Xu XH, Dong SS, Guo Y, Yang TL, Lei SF,
Papasian CJ, Zhao M and Deng HW: Molecular genetic studies of gene
identification for osteoporosis: The 2009 update. Endocr Rev.
31:447–505. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Liang X, Du Y, Wen Y, Liu L, Li P, Zhao Y,
Ding M, Cheng B, Cheng S, Ma M, et al: Assessing the genetic
correlations between blood plasma proteins and osteoporosis: A
polygenic risk score analysis. Calcif Tissue Int. 104:171–181.
2019. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Qin L, Liu Y, Wang Y, Wu G, Chen J, Ye W,
Yang J and Huang Q: Computational characterization of osteoporosis
associated SNPs and genes identified by genome-wide association
studies. PLoS One. 11:e01500702016. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Hu Y, Pan Z, Hu Y, Zhang L and Wang J:
Network and pathway-based analyses of genes associated with
parkinson's disease. Mol Neurobiol. 54:4452–4465. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Hu YS, Xin J, Hu Y, Zhang L and Wang J:
Analyzing the genes related to Alzheimer's disease via a network
and pathway-based approach. Alzheimers Res Ther. 9:292017.
View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Zhou Y, Zhou B, Pache L, Chang M,
Khodabakhshi AH, Tanaseichuk O, Benner C and Chanda SK: Metascape
provides a biologist-oriented resource for the analysis of
systems-level datasets. Nat Commun. 10:15232019. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
König R, Chiang CY, Tu BP, Yan SF, DeJesus
PD, Romero A, Bergauer T, Orth A, Krueger U, Zhou Y and Chanda SK:
A probability-based approach for the analysis of large-scale RNAi
screens. Nat Methods. 4:847–849. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Benjamini and Hochberg: Controlling the
False Discovery Rate: A Practical and Powerful Approach to Multiple
Testing. J R STAT SOC A STAT Series B (Methodological). 57:289–300.
1995.
|
|
17
|
Shuaichen L and Guangyi W: Bioinformatic
analysis reveals CYP2C9 as a potential prognostic marker for HCC
and liver cancer cell lines suitable for its mechanism study. Cell
Mol Biol (Noisy-le-grand). 64:70–74. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Zhou G and Xia J: OmicsNet: A web-based
tool for creation and visual analysis of biological networks in 3D
space. Nucleic Acids Res. 46:w514–w522. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Erdos P and Rényi A: On the evolution of
random graphs. Publ Math Inst Hungar Acad Sci. 5:17–61. 1960.
|
|
20
|
Sugiyama M, Ghisu ME, Llinares-López F and
Borgwardt K: Graphkernels: R and Python packages for graph
comparison. Bioinformatics. 34:530–532. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Rosvall M and Bergstrom CT: Maps of random
walks on complex networks reveal community structure. Proc Natl
Acad Sci. 105:1118–1123. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Mansoori MN, Shukla P and Singh D:
Combination of PTH (1–34) with anti-IL17 prevents bone loss by
inhibiting IL-17/N-cadherin mediated disruption of PTHR1/LRP-6
interaction. Bone. 105:226–236. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Dar HY, Azam Z, Anupam R, Mondal RK and
Srivastava RK: Osteoimmunology: The Nexus between bone and immune
system. Front Biosci (Landmark Ed). 23:464–492. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Ke K, Sul OJ, Chung SW, Suh JH and Choi
HS: Lack of NOD2 attenuates ovariectomy-induced bone loss via
inhibition of osteoclasts. J Endocrinol. 235:85–96. 2017.
View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Zhang LB, Man ZT, Li W, Zhang W, Wang XQ
and Sun S: Calcitonin protects chondrocytes from
lipopolysaccharide-induced apoptosis and inflammatory response
through MAPK/Wnt/NF-kappaB pathways. Mol Immunol. 87:249–257. 2017.
View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Bruyère O, Bergmann P, Cavalier E, Gielen
E, Goemaere S, Kaufman JM, Rozenberg S and Body JJ: Skeletal health
in breast cancer survivors. Maturitas. 105:78–82. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Taxel P, Faircloth E, Idrees S and Van
Poznak C: Cancer Treatment-Induced Bone Loss in Women With Breast
Cancer and Men With Prostate Cancer. J Endocr Soc. 2:574–588. 2018.
View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Fong JE, Le Nihouannen D and Komarova SV:
Tumor-supportive and osteoclastogenic changes induced by breast
cancer-derived factors are reversed by inhibition of
{gamma}-secretase. J Biol Chem. 285:31427–31434. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Singh B, Berry JA, Vincent LE and Lucci A:
Involvement of IL-8 in COX-2-mediated bone metastases from breast
cancer. J Surg Res. 134:44–51. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Mei L and Borg JP: ERBB2 oncogenicity:
ERBIN helps to perform the job. Mol Cell Oncol. 2:e9950332015.
View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Dai P, Xiong WC and Mei L: Erbin inhibits
RAF activation by disrupting the sur-8-Ras-Raf complex. J Biol
Chem. 281:927–933. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Reel B, Korkmaz CG, Arun MZ, Yildirim G,
Ogut D, Kaymak A, Micili SC and Ergur BU: The Regulation of Matrix
Metalloproteinase Expression and the Role of Discoidin Domain
Receptor 1/2 Signalling in Zoledronate-treated PC3 Cells. J Cancer.
6:1020–1029. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Ramsey W and Isales CM: Intestinal
Incretins and the Regulation of Bone Physiology. Adv Exp Med Biol.
1033:13–33. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Sato S, Hanada R, Kimura A, Abe T,
Matsumoto T, Iwasaki M, Inose H, Ida T, Mieda M, Takeuchi Y, et al:
Central control of bone remodeling by neuromedin U. Nat Med.
13:1234–1240. 2007. View
Article : Google Scholar : PubMed/NCBI
|
|
35
|
Nakashima Y, Ida T, Sato T, Nakamura Y,
Takahashi T, Mori K, Miyazato M, Kangawa K, Kusukawa J and Kojima
M: Neuromedin U is necessary for normal gastrointestinal motility
and is regulated by serotonin. Ann N Y Acad Sci. 1200:104–111.
2010. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Sheng Y, Tang J, Ren K, Manor LC and Cao
H: Integrative computational approach to evaluate risk genes for
postmenopausal osteoporosis. IET Syst Biol. 12:118–122. 2018.
View Article : Google Scholar : PubMed/NCBI
|
