ArticleMolecular biology reports2012
The application of gene co-expression network reconstruction based on CNVs and gene expression microarray data in breast cancer.
Article in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Genetic co-expression networks contribute to creating predictive model and exploring novel biomarkers for the prognosis of breast cancer.Scientific reports · 2021Article
- Gene expression profiling revealed MCM3 to be a better marker than Ki67 in prognosis of invasive ductal breast carcinoma patients.Clinical and experimental medicine · 2020Article
- Generalized gene co-expression analysis via subspace clustering using low-rank representation.BMC bioinformatics · 2019Article
- In-Silico Integration Approach to Identify a Key miRNA Regulating a Gene Network in Aggressive Prostate Cancer.International journal of molecular sciences · 2018Article
- Bridging the gap between clinicians and systems biologists: from network biology to translational biomedical research.Journal of translational medicine · 2016Review
- A matrix rank based concordance index for evaluating and detecting conditional specific co-expressed gene modules.BMC genomics · 2016Article
- Article
- Alpha-tryptase gene variation is associated with levels of circulating IgE and lung function in asthma.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2014Article
- Integrative analysis of transcriptional regulatory network and copy number variation in intrahepatic cholangiocarcinoma.PloS one · 2014Article
- Gene co-expression modules as clinically relevant hallmarks of breast cancer diversity.PloS one · 2014Article
- Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Copy number variations (CNVs) are one type of the human genetic variations and are pervasive in the human genome. It has been confirmed that they can play a causal role in complex diseases. Previous studies of CNVs focused more on identifying the disease-specific CNV regions or candidate genes on these CNV regions, but less on the synergistic actions between genes on CNV regions and other genes. Our research combined the CNVs with related gene co-expression to reconstruct gene co-expression network by using single nucleotide polymorphism microarray datasets and gene microarray datasets of breast cancer, and then extracted the modules which connected densely inside and analyzed the functions of modules. Interestingly, all of these modules' functions were related to breast cancer according to our enrichment analysis, and most of the genes in these modules have been reported to be involved in breast cancer. Our findings suggested that integrating CNVs and gene co-expressed relations was an available way to analyze the roles of CNV genes and their synergistic genes in breast cancer, and provided a novel insight into the pathological mechanism of breast cancer.
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