ArticleJournal of diabetes research2016
Genetic Risk Score Modelling for Disease Progression in New-Onset Type 1 Diabetes Patients: Increased Genetic Load of Islet-Expressed and Cytokine-Regulated Candidate Genes Predicts Poorer Glycemic Control.
Article in Journal of diabetes research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Clinical parameters and emerging biomarkers of partial remission in pediatric type 1 diabetes: a systematic review.Frontiers in endocrinology · 2026Pooled it
- Heterogeneous endocrine cell composition defines human islet functional phenotypes.Nature communications · 2026Article
- Heterogeneous endocrine cell composition defines human islet functional phenotypes.bioRxiv : the preprint server for biology · 2025Article
- Plasma proteomics in children with new-onset type 1 diabetes identifies new potential biomarkers of partial remission.Scientific reports · 2024Article
- Review
- Research following genome-wide association study focuses on the multifaceted nature of Src kinase-associated phosphoprotein 2 in type 1 diabetes.Journal of diabetes investigation · 2022Article
- A new ratio derived from inflammasome markers can serve as a marker of assessment of glycemic index in children with Type 1 diabetes.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022Article
- Article
- Endocrine-Related Adverse Events Related to Immune Checkpoint Inhibitors: Proposed Algorithms for Management.The oncologist · 2020Article
- Type 1 diabetes: genes associated with disease development.Central-European journal of immunology · 2020Review
- Genetic and Environmental Interaction in Type 1 Diabetes: a Relationship Between Genetic Risk Alleles and Molecular Traits of Enterovirus Infection?Current diabetes reports · 2019Review
- Precision medicine in diabetes prevention, classification and management.Journal of diabetes investigation · 2018Review
- Approaches and advances in the genetic causes of autoimmune disease and their implications.Nature immunology · 2018Review
- Genetic Risk Scores for Type 1 Diabetes Prediction and Diagnosis.Current diabetes reports · 2017Review
- Proteomic analysis on roots of Oenothera glazioviana under copper-stress conditions.Scientific reports · 2017Article
- Type 1 Diabetes Candidate Genes Linked to Pancreatic Islet Cell Inflammation and Beta-Cell Apoptosis.Genes · 2017Review
- The recurrence risk of genetic complex diseases.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2017Review
- Type 1 Diabetes: Disease Stratification.Biomedicine hubReview
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
Genome-wide association studies (GWAS) have identified over 40 type 1 diabetes risk loci. The clinical impact of these loci on β-cell function during disease progression is unknown. We aimed at testing whether a genetic risk score could predict glycemic control and residual β-cell function in type 1 diabetes (T1D). As gene expression may represent an intermediate phenotype between genetic variation and disease, we hypothesized that genes within T1D loci which are expressed in islets and transcriptionally regulated by proinflammatory cytokines would be the best predictors of disease progression. Two-thirds of 46 GWAS candidate genes examined were expressed in human islets, and 11 of these significantly changed expression levels following exposure to proinflammatory cytokines (IL-1β + IFNγ + TNFα) for 48 h. Using the GWAS single nucleotide polymorphisms (SNPs) from each locus, we constructed a genetic risk score based on the cumulative number of risk alleles carried in children with newly diagnosed T1D. With each additional risk allele carried, HbA1c levels increased significantly within first year after diagnosis. Network and gene ontology (GO) analyses revealed that several of the 11 candidate genes have overlapping biological functions and interact in a common network. Our results may help predict disease progression in newly diagnosed children with T1D which can be exploited for optimizing treatment.
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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.