ArticleDiabetes2012
Identification of novel type 1 diabetes candidate genes by integrating genome-wide association data, protein-protein interactions, and human pancreatic islet gene expression.
Article in Diabetes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
69 citing papers in PubMed, 122 citations in OpenAlex.
- CTSH regulates β-cell function and disease progression in newly diagnosed type 1 diabetes patients.Proceedings of the National Academy of Sciences of the United States of America · 2014Trial
- Emerging therapies for type 1 diabetes: Immunotherapy and gene editing advances.The Journal of international medical research · 2026Review
- MYO1B in human disease: an actin-based motor linking membrane trafficking to oncogenic signaling, metastasis, and vascular aging.Frontiers in oncology · 2026Review
- Association of the Immunity Genes with Type 1 Diabetes Mellitus.Current diabetes reviews · 2025Review
- The perfect storm: unraveling the interplay of genetic predisposition and viral triggers in type 1 diabetes pathogenesis.Frontiers in endocrinology · 2025Review
- Interleukin-27 and Autoimmune Disorders: A Compressive Review of Immunological Functions.Biomolecules · 2024Review
- Islet cells in human type 1 diabetes: from recent advances to novel therapies - a symposium-based roadmap for future research.The Journal of endocrinology · 2023Review
- Inflammatory Cytokines Rewire the Proinsulin Interaction Network in Human Islets.The Journal of clinical endocrinology and metabolism · 2022Article
- Toward Precision Medicine with Human Pluripotent Stem Cells for Diabetes.Stem cells translational medicine · 2022Review
- Genome-wide Meta-analysis Reveals New Gene Signatures and Potential Drug Targets of Hypertension.ACS omega · 2022Article
- Review
- HLA-DRB1 and -DQB1 Alleles, Haplotypes and Genotypes in Emirati Patients with Type 1 Diabetes Underscores the Benefits of Evaluating Understudied Populations.Frontiers in genetics · 2022Article
- The rs2304256 Polymorphism in TYK2 Gene Is Associated with Protection for Type 1 Diabetes Mellitus.Diabetes & metabolism journal · 2021Article
- Elucidate multidimensionality of type 1 diabetes mellitus heterogeneity by multifaceted information.Scientific reports · 2021Article
- Self-Renewing Islet TCF1Journal of immunology (Baltimore, Md. : 1950) · 2021Article
- A graph centrality-based approach for candidate gene prediction for type 1 diabetes.Immunologic research · 2021Article
- Overexpression of theJournal of immunology (Baltimore, Md. : 1950) · 2021Article
- The long non-coding RNA βFaar regulates islet β-cell function and survival during obesity in mice.Nature communications · 2021Article
- Identifying the 'Achilles heel' of type 1 diabetes.Clinical and experimental immunology · 2021Review
- Parallel Multi-Omics in High-Risk Subjects for the Identification of Integrated Biomarker Signatures of Type 1 Diabetes.Biomolecules · 2021Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
Abstract
Genome-wide association studies (GWAS) have heralded a new era in susceptibility locus discovery in complex diseases. For type 1 diabetes, >40 susceptibility loci have been discovered. However, GWAS do not inevitably lead to identification of the gene or genes in a given locus associated with disease, and they do not typically inform the broader context in which the disease genes operate. Here, we integrated type 1 diabetes GWAS data with protein-protein interactions to construct biological networks of relevance for disease. A total of 17 networks were identified. To prioritize and substantiate these networks, we performed expressional profiling in human pancreatic islets exposed to proinflammatory cytokines. Three networks were significantly enriched for cytokine-regulated genes and, thus, likely to play an important role for type 1 diabetes in pancreatic islets. Eight of the regulated genes (CD83, IFNGR1, IL17RD, TRAF3IP2, IL27RA, PLCG2, MYO1B, and CXCR7) in these networks also harbored single nucleotide polymorphisms nominally associated with type 1 diabetes. Finally, the expression and cytokine regulation of these new candidate genes were confirmed in insulin-secreting INS-1 β-cells. Our results provide novel insight to the mechanisms behind type 1 diabetes pathogenesis and, thus, may provide the basis for the design of novel treatment strategies.
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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.