ArticleBMC systems biology2011
Inferring pleiotropy by network analysis: linked diseases in the human PPI network.
Article in BMC systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 71 citations in OpenAlex.
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- Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis.Scientific reports · 2022Article
- Integrated bioinformatics analysis reveals novel key biomarkers in diabetic nephropathy.SAGE open medicine · 2022Article
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- Identification of hub genes related to the progression of type 1 diabetes by computational analysis.BMC endocrine disorders · 2021Article
- Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules.Reproductive biology and endocrinology : RB&E · 2021Article
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- Identification of Key Pathways and Genes in Obesity Using Bioinformatics Analysis and Molecular Docking Studies.Frontiers in endocrinology · 2021Article
- Bioinformatics analyses of significant genes, related pathways, and candidate diagnostic biomarkers and molecular targets in SARS-CoV-2/COVID-19.Gene reports · 2020Article
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Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEarlier, we identified proteins connecting different disease proteins in the human protein-protein interaction network and quantified their mediator role. An analysis of the networks of these mediators shows that proteins connecting heart disease and diabetes largely overlap with the ones connecting heart disease and obesity.
resultsWe quantified their overlap, and based on the identified topological patterns, we inferred the structural disease-relatedness of several proteins. Literature data provide a functional look of them, well supporting our findings. For example, the inferred structurally important role of the PDZ domain-containing protein GIPC1 in diabetes is supported despite the lack of this information in the Online Mendelian Inheritance in Man database. Several key mediator proteins identified here clearly has pleiotropic effects, supported by ample evidence for their general but always of only secondary importance.
conclusionsWe suggest that studying central nodes in mediator networks may contribute to better understanding and quantifying pleiotropy. Network analysis provides potentially useful tools here, as well as helps in improving databases.
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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.