ArticleBMC systems biology2019
Multi-omics integration reveals molecular networks and regulators of psoriasis.
Article in BMC systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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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
28 citing papers in PubMed, 45 citations in OpenAlex.
- Convergence and divergence of genes informed by common and rare variants of autism spectrum disorders in tissue-specific pathways and gene networks.Translational psychiatry · 2026Article
- The immunometabolic tipping point: forecasting the systemic shift from psoriasis to psoriatic arthritis.Frontiers in immunology · 2026Review
- Syndrome Differentiation and Treatment of Psoriasis by Traditional Chinese Medicines: An Integrating Study of Multi-Omics Analysis and Experimental Validation.Journal of inflammation research · 2025Article
- Article
- Disentangling the complexity of psoriasis in the post-genome-wide association era.Genes and immunity · 2023Review
- Biology-inspired graph neural network encodes reactome and reveals biochemical reactions of disease.Patterns (New York, N.Y.) · 2023Article
- Multi-Omics Research Strategies for Psoriasis and Atopic Dermatitis.International journal of molecular sciences · 2023Review
- Identification immune response genes in psoriasis after treatment with secukinumab.BMC medical genomics · 2023Article
- Psoriasis immunometabolism: progress on metabolic biomarkers and targeted therapy.Frontiers in molecular biosciences · 2023Review
- Identification and annotation of milk associated genes from milk somatic cells using expression and RNA-seq data.Bioinformation · 2022Article
- Integrating Multimorbidity into a Whole-Body Understanding of Disease Using Spatial Genomics.Results and problems in cell differentiation · 2022Article
- Effect of APOB polymorphism rs562338 (G/A) on serum proteome of coronary artery disease patients: a "proteogenomic" approach.Scientific reports · 2021Article
- Multiscale Biology of Cardiovascular Risk in Psoriasis: Protocol for a Case-Control Study.JMIR research protocols · 2021Article
- Molecular Biology Networks and Key Gene Regulators for Inflammatory Biomarkers Shared by Breast Cancer Development: Multi-Omics Systems Analysis.Biomolecules · 2021Article
- Anti-tumor necrosis factor drug responses and skin-blood DNA methylation age: Relationships in moderate-to-severe psoriasis.Experimental dermatology · 2021Article
- Mergeomics 2.0: a web server for multi-omics data integration to elucidate disease networks and predict therapeutics.Nucleic acids research · 2021Article
- Network analysis of potential risk genes for psoriasis.Hereditas · 2021Article
- Multi-Omics Data Analysis Uncovers Molecular Networks and Gene Regulators for Metabolic Biomarkers.Biomolecules · 2021Article
- Multiomics Integration in Skin Diseases with Alterations in Notch Signaling Pathway: PlatOMICs Phase 1 Deployment.International journal of molecular sciences · 2021Review
- Gene networks and pathways for plasma lipid traits via multitissue multiomics systems analysis.Journal of lipid research · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPsoriasis is a complex multi-factorial disease, involving both genetic susceptibilities and environmental triggers. Genome-wide association studies (GWAS) and epigenome-wide association studies (EWAS) have been carried out to identify genetic and epigenetic variants that are associated with psoriasis. However, these loci cannot fully explain the disease pathogenesis.
methodsTo achieve a comprehensive mechanistic understanding of psoriasis, we conducted a systems biology study, integrating multi-omics datasets including GWAS, EWAS, tissue-specific transcriptome, expression quantitative trait loci (eQTLs), gene networks, and biological pathways to identify the key genes, processes, and networks that are genetically and epigenetically associated with psoriasis risk.
resultsThis integrative genomics study identified both well-characterized (e.g., the IL17 pathway in both GWAS and EWAS) and novel biological processes (e.g., the branched chain amino acid catabolism process in GWAS and the platelet and coagulation pathway in EWAS) involved in psoriasis. Finally, by utilizing tissue-specific gene regulatory networks, we unraveled the interactions among the psoriasis-associated genes and pathways in a tissue-specific manner and detected potential key regulatory genes in the psoriasis networks.
conclusionsThe integration and convergence of multi-omics signals provide deeper and comprehensive insights into the biological mechanisms associated with psoriasis susceptibility.
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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.