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Article

Identifying key genes in rheumatoid arthritis by weighted gene co-expression network analysis.

International journal of rheumatic diseases - 1 Aug 2017

Ma Chunhui, Lv Qi, Teng Songsong, Yu Yinxian, Niu Kerun, Yi Chengqin

Abstract excerpt

PURPOSE: This study aimed to identify rheumatoid arthritis (RA) related genes based on microarray data using the WGCNA (weighted gene co-expression network analysis) method. METHODS: Two gene expression profile datasets GSE55235 (10 RA samples and 10 healthy controls) and GSE77298 (16 RA samples and seven healthy controls) were downloaded from Gene Expression Omnibus database. Characteristic genes were identified...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 28440025
DOI: 10.1111/1756-185X.13063

Genes

CCR1
CXCL1
CCL19
IKBKE
LYZ
PLN
PPT1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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