ArticleScientific reports2017
T2DiACoD: A Gene Atlas of Type 2 Diabetes Mellitus Associated Complex Disorders.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 66 citations in OpenAlex.
- Computational identification of perturbed pathways in type 2 diabetes mellitus patients reveals necroptosis and NF-κB pathways with potential for susceptibility to psoriasis.Journal of biosciences · 2025Article
- Genetic variants and type 2 diabetes in India: a systematic review and meta-analysis of associated polymorphisms in case-control studies.The Lancet regional health. Southeast Asia · 2025Article
- Non parametric differential network analysis: a tool for unveiling specific molecular signatures.BMC bioinformatics · 2024Article
- Understanding complex systems through differential causal networks.Scientific reports · 2024Article
- The contribution of adiponectin to diabetic retinopathy progression: Association with the AGEs-RAGE pathway.Heliyon · 2024Article
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- Causal network perturbation analysis identifies known and novel type-2 diabetes driver genes.bioRxiv : the preprint server for biology · 2024Article
- DbKB a knowledge graph dataset for diabetes: A system biology approach.Data in brief · 2024Article
- Interactions among insulin resistance, epigenetics, and donor sex in gene expression regulation of iPSC-derived myoblasts.The Journal of clinical investigation · 2024Article
- Prioritization of genes associated with type 2 diabetes mellitus for functional studies.Nature reviews. Endocrinology · 2023Review
- Analysis of age-dependent gene-expression in human tissues for studying diabetes comorbidities.Scientific reports · 2023Article
- Article
- Hypothetical Strategies of Gene and Environmental Influence on Life Expectancy: A Brief Review.Iranian journal of public health · 2022Review
- Ethnic disparities attributed to the manifestation in and response to type 2 diabetes: insights from metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2022Review
- Polymorphism in Adiponectin and Adiponectin Receptor Genes in Diabetes Mellitus Pathogenesis.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022Article
- Generic model for biological regulation.F1000Research · 2022Article
- A global analysis on the differential regulation of RNA binding proteins (RBPs) by TNF-α as potential modulators of metabolic syndromes.BBA advances · 2022Article
- Association of ACE I/D and PAI-1 4G/5G polymorphisms with susceptibility to type 2 diabetes mellitus.Journal of diabetes and metabolic disorders · 2021Article
- The Emerging Role of TXNIP in Ischemic and Cardiovascular Diseases; A Novel Marker and Therapeutic Target.International journal of molecular sciences · 2021Review
- Association of Lower Extremity Vascular Disease, Coronary Artery, and Carotid Artery Atherosclerosis in Patients with Type 2 Diabetes Mellitus.Computational and mathematical methods in medicine · 2021Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We performed integrative analysis of genes associated with type 2 Diabetes Mellitus (T2DM) associated complications by automated text mining with manual curation and also gene expression analysis from Gene Expression Omnibus. They were analysed for pathogenic or protective role, trends, interaction with risk factors, Gene Ontology enrichment and tissue wise differential expression. The database T2DiACoD houses 650 genes, and 34 microRNAs associated with T2DM complications. Seven genes AGER, TNFRSF11B, CRK, PON1, ADIPOQ, CRP and NOS3 are associated with all 5 complications. Several genes are studied in multiple years in all complications with high proportion in cardiovascular (75.8%) and atherosclerosis (51.3%). T2DM Patients' skeletal muscle tissues showed high fold change in differentially expressed genes. Among the differentially expressed genes, VEGFA is associated with several complications of T2DM. A few genes ACE2, ADCYAP1, HDAC4, NCF1, NFE2L2, OSM, SMAD1, TGFB1, BDNF, SYVN1, TXNIP, CD36, CYP2J2, NLRP3 with details of protective role are catalogued. Obesity is clearly a dominant risk factor interacting with the genes of T2DM complications followed by inflammation, diet and stress to variable extents. This information emerging from the integrative approach used in this work could benefit further therapeutic approaches. The T2DiACoD is available at www.http://t2diacod.igib.res.in/ .
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