ArticleJournal of translational medicine2025
Genomic structural equation modeling elucidates the shared genetic architecture of allergic disorders.
Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Factors associated with sarcopenia in elderly patients with type 2 diabetes mellitus.Frontiers in endocrinology · 2026Pooled it
- Genomic structural equation modeling elucidates the genetic mechanisms underlying allostatic load.Comprehensive psychoneuroendocrinology · 2026Article
- Integrative genomic and spatial transcriptomic analysis elucidates the oligodendrocyte-mediated etiology of epileptic cortical thinning.Epilepsia open · 2026Article
- Article
- Multivariable genome-wide analysis elucidates the shared genetic architecture, immunosenescence features, and gut-origin therapeutic targets of ulcerative colitis-associated multisystem inflammation.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Integrated post-GWAS, single-cell, and functional analyses prioritizeFrontiers in immunology · 2026Article
- The Potential Link Between Eosinophilic Esophagitis and Food Allergy: Inflammatory Pathogenesis and Management.Journal of inflammation research · 2026Review
- Mapping the genetic landscape of suicide risk: Insights from genomic SEM.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026Article
- Dissecting the Genetic Basis of Low Back Pain Independent of BMI Through Genomic Structural Equation Modeling.Journal of pain research · 2026Article
- Integrating genomic structural equation modeling and experimental validation to unravel the genetic basis of male genital lichen sclerosus.Frontiers in immunology · 2026Article
- Construction and verification of a nomogram to predict the probability of venous thromboembolism in lung cancer patients.Frontiers in molecular biosciences · 2026Article
- Genomic structural equation modeling uncovers novel risk loci for bone metabolic disorders: cross-tissue genetic mechanisms and bone-brain axis regulation.BMC musculoskeletal disorders · 2025Article
- Shared loci but distinct variants underlie genetic architecture of allergic diseases.medRxiv : the preprint server for health sciences · 2025Article
- IL-18 receptor axis in allergic conjunctivitis: a multi-omics study.Frontiers in immunology · 2025Article
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Authors and funding
2 authors.
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Abstract
backgroundThe intricate shared genetic architecture underlying allergic disorders-including allergic asthma, atopic dermatitis, contact dermatitis, allergic rhinitis, allergic conjunctivitis, allergic urticaria, anaphylaxis, and eosinophilic esophagitis-remains incompletely characterized.
methodsOur study employed genomic structural equation modeling (Genomic SEM) to define the common factor representing the shared genetic architecture of allergic disorders. Coupled with diverse post-GWAS analytical methods, we aimed to discover susceptible loci and investigate genetic associations with external traits. Furthermore, we explored enriched genetic pathways, cellular layers, and genomic elements, and investigated putative plasma protein biomarkers. Polygenic risk score (PRS) analyses, leveraging our integrated GWAS data, were conducted to assess chromosomal-level risk associations for allergic disorders.
resultsA well-fitted genomic SEM integrated GWAS data, revealing the shared genetic architecture of allergic disorders. We identified a total of 2038 genome-wide significant SNP loci (p < 5e-8), including 31 previously unreported loci. Fine-mapping of variants and gene sets pinpointed 2 causal variants and 31 candidate susceptible genes. Genetic correlation analyses further illuminated the shared genetic architecture underlying multiple traits, notably psychiatric disorders. Preliminary findings identified four putative causal plasma protein biomarkers.
conclusionNotably, this study presents the first comprehensive genetic characterization of allergic disorders through a GWAS analysis of an unmeasured composite phenotype, providing novel insights into shared etiological pathways across these conditions.
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