Multi-omics Data Integration for Identifying Osteoporosis Biomarkers and Their Biological Interaction and Causal Mechanisms
iScience, ISSN: 2589-0042, Vol: 23, Issue: 2, Page: 100847
2020
- 39Citations
- 89Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations39
- Citation Indexes38
- 38
- CrossRef10
- Patent Family Citations1
- Patent Families1
- Captures89
- Readers89
- 89
Article Description
Osteoporosis is characterized by low bone mineral density (BMD). The advancement of high-throughput technologies and integrative approaches provided an opportunity for deciphering the mechanisms underlying osteoporosis. Here, we generated genomic, transcriptomic, methylomic, and metabolomic datasets from 119 subjects with high (n = 61) and low (n = 58) BMDs. By adopting sparse multiple discriminative canonical correlation analysis, we identified an optimal multi-omics biomarker panel with 74 differentially expressed genes (DEGs), 75 differentially methylated CpG sites (DMCs), and 23 differential metabolic products (DMPs). By linking genetic data, we identified 199 targeted BMD-associated expression/methylation/metabolite quantitative trait loci (eQTLs/meQTLs/metaQTLs). The reconstructed networks/pathways showed extensive biomarker interactions, and a substantial proportion of these biomarkers were enriched in RANK/RANKL, MAPK/TGF-β, and WNT/β-catenin pathways and G-protein-coupled receptor, GTP-binding/GTPase, telomere/mitochondrial activities that are essential for bone metabolism. Five biomarkers (FADS2, ADRA2A, FMN1, RABL2A, SPRY1) revealed causal effects on BMD variation. Our study provided an innovative framework and insights into the pathogenesis of osteoporosis.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2589004220300304; http://dx.doi.org/10.1016/j.isci.2020.100847; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85078785851&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/32058959; https://linkinghub.elsevier.com/retrieve/pii/S2589004220300304; https://dx.doi.org/10.1016/j.isci.2020.100847
Elsevier BV
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