ArticlePloS one2016
Computational Characterization of Osteoporosis Associated SNPs and Genes Identified by Genome-Wide Association Studies.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.
- Analysis of microRNA and Gene Expression Profiles in Alzheimer's Disease: A Meta-Analysis Approach.Scientific reports · 2018Pooled it
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- A Bone-Protective Role for IFN-γ? Evidence from Genetic Association and Osteoblast Functional Assays in Postmenopausal Osteoporosis.International journal of molecular sciences · 2026Article
- TNF receptor-associated factors: promising targets of natural products for the treatment of osteoporosis.Frontiers in physiology · 2025Review
- TheInternational journal of burns and trauma · 2024Review
- Estrogen receptor alpha and NFATc1 bind to a bone mineral density-associated SNP to repress WNT5B in osteoblasts.American journal of human genetics · 2022Article
- Vitamin D Receptor Gene Variants Susceptible to Osteoporosis in Arab Post-Menopausal Women.Current issues in molecular biology · 2021Article
- The Polymorphism at PLCB4 Promoter (rs6086746) Changes the Binding Affinity of RUNX2 and Affects Osteoporosis Susceptibility: An Analysis of Bioinformatics-Based Case-Control Study and Functional Validation.Frontiers in endocrinology · 2021Article
- Perspective of the GEMSTONE Consortium on Current and Future Approaches to Functional Validation for Skeletal Genetic Disease Using Cellular, Molecular and Animal-Modeling Techniques.Frontiers in endocrinology · 2021Review
- Review
- Pathway and network analysis of genes related to osteoporosis.Molecular medicine reports · 2019Article
- Network Pharmacology-Based Pharmacological Mechanism of the Chinese Medicine Rhizoma drynariae Against Osteoporosis.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- LncRNA ZBTB40-IT1 modulated by osteoporosis GWAS risk SNPs suppresses osteogenesis.Human genetics · 2019Article
- Article
- Identification of Novel Potentially Pleiotropic Variants Associated With Osteoporosis and Obesity Using the cFDR Method.The Journal of clinical endocrinology and metabolism · 2018Article
- Computational analyses of obesity associated loci generated by genome-wide association studies.PloS one · 2018Article
- Identification of novel genetic loci for osteoporosis and/or rheumatoid arthritis using cFDR approach.PloS one · 2017Article
- Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesGenome-wide association studies (GWASs) have revealed many SNPs and genes associated with osteoporosis. However, influence of these SNPs and genes on the predisposition to osteoporosis is not fully understood. We aimed to identify osteoporosis GWASs-associated SNPs potentially influencing the binding affinity of transcription factors and miRNAs, and reveal enrichment signaling pathway and "hub" genes of osteoporosis GWAS-associated genes.
methodsWe conducted multiple computational analyses to explore function and mechanisms of osteoporosis GWAS-associated SNPs and genes, including SNP conservation analysis and functional annotation (influence of SNPs on transcription factors and miRNA binding), gene ontology analysis, pathway analysis and protein-protein interaction analysis.
resultsOur results suggested that a number of SNPs potentially influence the binding affinity of transcription factors (NFATC2, MEF2C, SOX9, RUNX2, ESR2, FOXA1 and STAT3) and miRNAs. Osteoporosis GWASs-associated genes showed enrichment of Wnt signaling pathway, basal cell carcinoma and Hedgehog signaling pathway. Highly interconnected "hub" genes revealed by interaction network analysis are RUNX2, SP7, TNFRSF11B, LRP5, DKK1, ESR1 and SOST.
conclusionsOur results provided the targets for further experimental assessment and further insight on osteoporosis pathophysiology.
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