Network analysis of potential risk genes for psoriasis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34134787", "kind": "science-record", "revision": 8, "content_hash": "sha256:1bb89bf7b721684553b37ce075b144da7ffde96c964c715efc943ac996af4c06", "created_at": "2026-11-01T15:41:39Z", "updated_at": "2026-11-01T22:46:52Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Network analysis of potential risk genes for psoriasis.", "doi": "10.1186/s41065-021-00186-w", "pmid": "34134787", "authors": ["Huilin Wang", "Wenjun Chen", "Jin He", "Wenjuan Xu", "Jiangwei Liu"], "journal": "Hereditas", "year": 2021, "abstract": "BACKGROUND: Psoriasis is a complex chronic inflammatory skin disease. The aim of this study was to analyze potential risk genes and molecular mechanisms associated with psoriasis.\nMETHODS: GSE54456, GSE114286, and GSE121212 were collected from gene expression omnibus (GEO) database. Differentially expressed genes (DEGs) between psoriasis and controls were screened respectively in three datasets and common DEGs were obtained. The biological role of common DEGs were identified by enrichment analysis. Hub genes were identified using protein-protein interaction (PPI) networks and their risk for psoriasis was evaluated through logistic regression analysis. Moreover, differentially methylated positions (DMPs) between psoriasis and controls were obtained in the GSE115797 dataset. Methylation markers were identified after comparison with the common genes.\nRESULTS: A total of 118 common DEGs were identified, which were mainly involved in keratinocyte differentiation and IL-17 signaling pathway. Through PPI network, we identified top 10 degrees as hub genes. Among them, high expression of CXCL9 and SPRR1B may be risk factors for psoriasis. In addition, we selected 10 methylation-modified genes with the higher area under receiver operating characteristic curve (AUC) value as methylation markers. Nomogram showed that TGM6 and S100A9 may be associated with an increased risk of psoriasis.\nCONCLUSION: This suggests that immune and inflammatory responses are active in keratinocytes of psoriatic skin. CXCL9, SPRR1B, TGM6 and S100A9 may be potential targets for the diagnosis and treatment of psoriasis.", "claims": [{"id": "claim-method", "statement": "The differentially expressed genes (DEGs) between psoriasis and normal were obtained through limma R software package.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34134787", "locator": "sections[4] \"Identification of differentially expressed genes\" paragraph 2", "quote": "The differentially expressed genes (DEGs) between psoriasis and normal were obtained through limma R software package."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data is available at NCBI GEO: GSE54456, GSE114286 and GSE121212.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34134787", "locator": "sections[21] \"notes\" paragraph 1", "quote": "Data is available at NCBI GEO: GSE54456, GSE114286 and GSE121212."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:34134787"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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