ArticleScientific reports2021
Dynamic changes in immune gene co-expression networks predict development of type 1 diabetes.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 7 citations in OpenAlex.
- High fat diet remodels the gene regulatory networks in the preoptic area.Scientific reports · 2026Article
- Looking back at the TEDDY study: lessons and future directions.Nature reviews. Endocrinology · 2025Review
- iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease.PLoS computational biology · 2023Article
- Structure learning for gene regulatory networks.PLoS computational biology · 2023Article
- Persistent coxsackievirus B infection and pathogenesis of type 1 diabetes mellitus.Nature reviews. Endocrinology · 2022Review
- Functional Impact of Risk Gene Variants on the Autoimmune Responses in Type 1 Diabetes.Frontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
8 authors at 20 institutions in 5 countries.
Funding
Abstract
Significant progress has been made in elucidating genetic risk factors influencing Type 1 diabetes (T1D); however, features other than genetic variants that initiate and/or accelerate islet autoimmunity that lead to the development of clinical T1D remain largely unknown. We hypothesized that genetic and environmental risk factors can both contribute to T1D through dynamic alterations of molecular interactions in physiologic networks. To test this hypothesis, we utilized longitudinal blood transcriptomic profiles in The Environmental Determinants of Diabetes in the Young (TEDDY) study to generate gene co-expression networks. In network modules that contain immune response genes associated with T1D, we observed highly dynamic differences in module connectivity in the 600 days (~ 2 years) preceding clinical diagnosis of T1D. Our results suggest that gene co-expression is highly plastic and that connectivity differences in T1D-associated immune system genes influence the timing and development of clinical disease.
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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 Socratic graph.