ArticleOncotarget2016
Multiple analyses of large-scale genome-wide association study highlight new risk pathways in lumbar spine bone mineral density.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 4 of them syntheses that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 4 syntheses or guidelines pooled it, 8 citations in OpenAlex.
- Differentially expressed circulating miRNAs in postmenopausal osteoporosis: a meta-analysis.Bioscience reports · 2019Pooled it
- GLRB variants regulate nearby gene expression in human brain tissues.Scientific reports · 2017Pooled it
- A pathway analysis of genome-wide association study highlights novel type 2 diabetes risk pathways.Scientific reports · 2017Pooled it
- Pooled it
- Identification of reversible and druggable pathways to improve beta-cell function and survival in Type 2 diabetes.Islets · 2023Article
- Analyzing Genome-Wide Association Study Dataset Highlights Immune Pathways in Lip Bone Mineral Density.Frontiers in genetics · 2020Article
- Circulating microRNAs, miR-10b-5p, miR-328-3p, miR-100 and let-7, are associated with osteoblast differentiation in osteoporosis.International journal of clinical and experimental pathology · 2018Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Osteoporosis is a common human complex disease. It is mainly characterized by low bone mineral density (BMD) and low-trauma osteoporotic fractures (OF). Until now, a large proportion of heritability has yet to be explained. The existing large-scale genome-wide association studies (GWAS) provide strong support for the investigation of osteoporosis mechanisms using pathway analysis. Recent findings showed that different risk pathways may be involved in BMD in different tissues. Here, we conducted multiple pathway analyses of a large-scale lumbar spine BMD GWAS dataset (2,468,080 SNPs and 31,800 samples) using two published gene-based analysis software including ProxyGeneLD and the PLINK. Using BMD genes from ProxyGeneLD, we identified 51 significant KEGG pathways with adjusted P<0.01. Using BMD genes from PLINK, we identified 38 significant KEGG pathways with adjusted P<0.01. Interestingly, 33 pathways are shared in both methods. In summary, we not only identified the known risk pathway such as Wnt signaling, in which the top GWAS variants are significantly enriched, but also highlight some new risk pathways. Interestingly, evidence from further supports the involvement of these pathways in MBD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.