ArticleFrontiers in immunology2023
Identification of multiple novel susceptibility genes associated with autoimmune thyroid disease.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Genetic correlation and causal relationships between autoimmune thyroid disease and major depressive disorders.Acta neuropsychiatrica · 2025Pooled it
- Epigenome-wide Association Study Shows Differential DNA Methylation of MDC1, KLF9, and CUTA in Autoimmune Thyroid Disease.The Journal of clinical endocrinology and metabolism · 2024Pooled it
- Genetic association stratified by HLA-DR3 and HLA-DR4 status reveals heterogeneity in pathways of progression to type 1 diabetes.Diabetologia · 2026Article
- Transcriptomic and Neuroimaging Decoding of Brain-Immune Crosstalk in Thyroid Eye Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
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- Unraveling the underlying causality: a two-sample Mendelian randomization analysis of the association between thyroid function and gestational diabetes mellitus.Archives of medical science : AMS · 2026Article
- Integrated analysis of single-cell and bulk RNA sequencing identifies GSTM4 as a tumor suppressor and prognostic biomarker in breast cancer.Discover oncology · 2025Article
- TRanscriptome ANalysis of StratifiEd CohorTs (TRANSECT) enables automated assessment of global gene regulation linked to disparate expression in user defined genes and gene sets.NAR genomics and bioinformatics · 2025Article
- Association ofInternational journal of molecular sciences · 2025Article
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- Investigating the Causal Relationship and Shared Genetic Basis Between Major Depression Disorder and Eight Types of Gastrointestinal Diseases.Genetics research · 2025Article
- Endocrine polyautoimmunity: Mechanistic insights and the future of AI-driven diagnostics.EXCLI journal · 2025Review
- A scoping review of statistical methods to investigate colocalization between genetic associations and microRNA expression in osteoarthritis.Osteoarthritis and cartilage open · 2024Article
- Associations between immune cell traits and autoimmune thyroid diseases: a bidirectional two-sample mendelian randomization study.Immunogenetics · 2024Article
- Fine mapping-based multi-omics analysis interprets the gut-lung axis function of SGLT2 inhibitors.Frontiers in cellular and infection microbiology · 2024Article
- The association between epilepsy and COVID-19: analysis based on Mendelian randomization and FUMA.Frontiers in neuroscience · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Autoimmune thyroid disease (AITD) is induced by various factors, including inheritability, which regulates gene expression. Multiple loci correlated with AITD have been discovered utilizing genome-wide association studies (GWASs). Nevertheless, demonstrating the biological relevance and function of these genetic loci is difficult. Methods: The FUSION software was utilized to define genes that were expressed differentially in AITD using a transcriptome-wide association study (TWAS) method in accordance with GWAS summary statistics from the largest genome-wide association study of 755,406 AITD individuals (30,234 cases and 725,172 controls) and levels of gene expression from two tissue datasets (blood and thyroid). Further analyses were performed such as colocalization, conditional, and fine-mapping analyses to extensively characterize the identified associations, using functional mapping and annotation (FUMA) to conduct functional annotation of the summary statistics of 23329 significant risk SNPs ( Results: There were 330 genes with transcriptome-wide significant differences between cases and controls, and the majority of these genes were new. 9 of the 94 unique significant genes had strong, colocalized, and potentially causal correlations with AITD. Such strong associations included Conclusions: The current work provides further insight into widespread changes in AITD at the transcriptomic level, as well as characterized the genetic component of gene expression in AITD by validating identified genes, establishing new correlations, and uncovering novel susceptibility genes. Our findings indicate that the genetic component of gene expression plays a significant part in AITD.
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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.