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Basic information of STAT4 :

Official Symbol of Gene STAT4
Species Homo sapiens
Entrez Gene ID 6775
Official Full Name signal transducer and activator of transcription 4
Also known as SLEB11
Gene Type protein coding
dbXrefs Ensembl:ENSG00000138378 MIM:600558; AllianceGenome:HGNC:11365
Map Location 2q32.2-q32.3
Variation Type SNP
refSNP ID rs10181656

Sample information of multiple sclerosis:

Detected Sample Peripheral blood
Sample Detail N/A
Detected Method PCR
Disease NMOSD
Disease subtype N/A
Population Chinese Han ethnicity
Sample Size 233 patients with established NMOSD (207 females and 26 males) and 492 healthy controls (412 females and 80 males)

Literature information of multiple sclerosis :

Pubmed ID 28852993
Year 2017
Title STAT4 Polymorphisms are Associated with Neuromyelitis Optica Spectrum Disorders

Results of multiple sclerosis :

Risk Type Disease risk
Main Result The results of multiple test comparisons were corrected using the Benjamini and Hochberg false discovery rate (FDR–BH). After correcting for multiple test comparisons, the minor alleles of four STAT4 SNPs exhibited significant association with increased risk of NMOSD (rs7574865 T, odds ratio [OR] = 1.66, 95% confidence interval [CI] 1.32–2.08, Pcorr = 0.000; rs10181656 G, OR = 1.62, 95% CI 1.29–2.03, Pcorr = 0.000; rs10168266 T, OR = 1.59, 95% CI 1.27–2.00, Pcorr = 0.001; and rs13426947 A, OR = 1.51, 95% CI 1.21–1.90, Pcorr = 0.004). Identical results were observed in the dominant, recessive, and additive models. In contrast, the G allele of rs7601754 displayed a protective effect against NMOSD (OR = 0.53, 95% CI 0.36–0.76, Pcorr = 0.006). Our study indicates that STAT4 polymorphisms are associated with the risk of NMOSD, which provides novel insights into the underlying mechanisms of this disease
Result Given that NMOSD have complex genetic backgrounds, no single gene could independently trigger the autoimmune response and be alone responsible for NMOSD pathogenesis. In addition to STAT4, multiple non-HLA genes, such as PD-1, CYP7A1, CD58, FCRL3, and CD40, have been shown to be associated with increased NMOSD risk; most of these genes have been implicated in other autoimmune diseases
Mechanism/Pathway Chi-square tests and logistic regression analyses were performed with four genetic models, including allelic, additive, dominant, and recessive models, to identify associations with NMOSD