ArticlePLoS genetics2013
Integrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine signaling genes in Crohn's disease.
Article in PLoS genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.
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Who cites it
42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 citations in OpenAlex.
- A systems biology approach uncovers cell-specific gene regulatory effects of genetic associations in multiple sclerosis.Nature communications · 2019Pooled it
- A method for gene-based pathway analysis using genomewide association study summary statistics reveals nine new type 1 diabetes associations.Genetic epidemiology · 2014Pooled it
- Functional immune profiling reveals CD4Immunology and cell biology · 2026Article
- Enrichment analysis of loci associated with psoriasis susceptibility identified in genome-wide association studies.Archives of dermatological research · 2025Article
- Neuroprotective Effects of Sodium-Glucose Cotransporter-2 (SGLT2) Inhibitors (Gliflozins) on Diabetes-Induced Neurodegeneration and Neurotoxicity: A Graphical Review.International journal of preventive medicine · 2024Review
- Is metformin neuroprotective against diabetes mellitus-induced neurodegeneration? An updated graphical review of molecular basis.Pharmacological reports : PR · 2023Review
- Fast and accurate Bayesian polygenic risk modeling with variational inference.American journal of human genetics · 2023Article
- Modern drug discovery for inflammatory bowel disease: The role of computational methods.World journal of gastroenterology · 2023Review
- DECO: a framework for jointly analyzing de novo and rare case/control variants, and biological pathways.Briefings in bioinformatics · 2021Article
- Multi-scale inference of genetic trait architecture using biologically annotated neural networks.PLoS genetics · 2021Article
- A framework for pathway knowledge driven prioritization in genome-wide association studies.Genetic epidemiology · 2020Article
- Bayesian shrinkage estimation of high dimensional causal mediation effects in omics studies.Biometrics · 2020Article
- Estimation of non-null SNP effect size distributions enables the detection of enriched genes underlying complex traits.PLoS genetics · 2020Article
- Detecting Shared Genetic Architecture Among Multiple Phenotypes by Hierarchical Clustering of Gene-Level Association Statistics.Genetics · 2020Article
- BAGSE: a Bayesian hierarchical model approach for gene set enrichment analysis.Bioinformatics (Oxford, England) · 2020Article
- Article
- T Regulatory Cells From Non-obese Diabetic Mice Show Low Responsiveness to IL-2 Stimulation and Exhibit Differential Expression of Anergy-Related and Ubiquitination Factors.Frontiers in immunology · 2019Article
- Large-scale genome-wide enrichment analyses identify new trait-associated genes and pathways across 31 human phenotypes.Nature communications · 2018Article
- Pleiotropic mapping and annotation selection in genome-wide association studies with penalized Gaussian mixture models.Bioinformatics (Oxford, England) · 2018Article
- A Scalable Bayesian Method for Integrating Functional Information in Genome-wide Association Studies.American journal of human genetics · 2017Article
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2 authors at 2 institutions in 1 country.
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Abstract
Pathway analyses of genome-wide association studies aggregate information over sets of related genes, such as genes in common pathways, to identify gene sets that are enriched for variants associated with disease. We develop a model-based approach to pathway analysis, and apply this approach to data from the Wellcome Trust Case Control Consortium (WTCCC) studies. Our method offers several benefits over existing approaches. First, our method not only interrogates pathways for enrichment of disease associations, but also estimates the level of enrichment, which yields a coherent way to promote variants in enriched pathways, enhancing discovery of genes underlying disease. Second, our approach allows for multiple enriched pathways, a feature that leads to novel findings in two diseases where the major histocompatibility complex (MHC) is a major determinant of disease susceptibility. Third, by modeling disease as the combined effect of multiple markers, our method automatically accounts for linkage disequilibrium among variants. Interrogation of pathways from eight pathway databases yields strong support for enriched pathways, indicating links between Crohn's disease (CD) and cytokine-driven networks that modulate immune responses; between rheumatoid arthritis (RA) and "Measles" pathway genes involved in immune responses triggered by measles infection; and between type 1 diabetes (T1D) and IL2-mediated signaling genes. Prioritizing variants in these enriched pathways yields many additional putative disease associations compared to analyses without enrichment. For CD and RA, 7 of 8 additional non-MHC associations are corroborated by other studies, providing validation for our approach. For T1D, prioritization of IL-2 signaling genes yields strong evidence for 7 additional non-MHC candidate disease loci, as well as suggestive evidence for several more. Of the 7 strongest associations, 4 are validated by other studies, and 3 (near IL-2 signaling genes RAF1, MAPK14, and FYN) constitute novel putative T1D loci for further study.
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