systemic lupus erythematosus susceptibility
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Meta Gene ◽  
2021 ◽  
Vol 30 ◽  
pp. 100982
Author(s):  
Mohsen Saravani ◽  
Mahnaz Sandoughi ◽  
Zohreh Heidary ◽  
Ghasem Ebrahimi ◽  
Solmaz Mirzamohammadi ◽  
...  

2021 ◽  
Vol 22 (14) ◽  
pp. 7624
Author(s):  
Mohammad Saeed ◽  
Alejandro Ibáñez-Costa ◽  
Alejandra María Patiño-Trives ◽  
Laura Muñoz-Barrera ◽  
Eduardo Collantes Estévez ◽  
...  

Objectives: This study employed genetic and functional analyses using OASIS meta-analysis of multiple existing GWAS and gene-expression datasets to identify novel SLE genes. Methods: Four hundred and ten genes were mapped using SNIPPER to 30 SLE GWAS loci and investigated for expression in three SLE GEO-datasets and the Cordoba GSE50395-dataset. Blood eQTL for significant SNPs in SLE loci and STRING for functional pathways of differentially expressed genes were used. Confirmatory qPCR on SLE monocytes was performed. The entire 12p11 locus was investigated for genetic association using two additional GWAS. Expression of 150 genes at this locus was assessed. Based on this significance, qPCRs for DNM1L and KRAS were performed. Results: Fifty genes were differentially expressed in at least two SLE GEO-datasets, with all probes directionally aligned. DDX11, an RNA helicase involved in genome stability, was downregulated in both GEO and Cordoba datasets. The most significant SNP, rs3741869 in OASIS locus 12p11.21, containing DDX11, was a cis-eQTL regulating DDX11 expression. DDX11 was found repressed. The entire 12p11 locus showed three association peaks. Gene expression in GEO datasets identified DNM1L and KRAS, besides DDX11. Confirmatory qPCR validated DNM1L as an SLE susceptibility gene. DDX11, DNM1L and KRAS interact with each other and multiple known SLE genes including STAT1/STAT4 and major components of IFN-dependent gene expression, and are responsible for signal transduction of cytokines, hormones, and growth-factors, deregulation of which is involved in SLE-development. Conclusion: A genomic convergence approach with OASIS analysis of multiple GWAS and expression datasets identified DDX11 and DNM1L as novel SLE-genes, the expression of which is altered in monocytes from SLE patients. This study lays the foundation for understanding the pathogenic involvement of DDX11 and DNM1L in SLE by identifying them using a systems-biology approach, while the 12p11 locus harboring these genes was previously missed by four independent GWAS.


Lupus ◽  
2019 ◽  
Vol 28 (10) ◽  
pp. 1197-1204
Author(s):  
J -M Wang ◽  
Z -C Yuan ◽  
A -F Huang ◽  
W -D Xu

Background The aim of this study was to explore the association between tumor necrosis factor superfamily number 4 (TNFSF4) rs1234315, rs2205960 polymorphisms and systemic lupus erythematosus (SLE) susceptibility. Methods A meta-analysis was performed on the association between rs1234315 and rs2205960 polymorphisms and SLE by allelic contrast, additive model, recessive model and dominant model. Results Regarding rs1234315 polymorphism, a total of five studies were included (6575 cases, 14,798 controls). Meta-analysis showed significant associations between the T allele and SLE in overall subjects and Asians (OR = 1.310, 95%CI: 1.104–1.553, p = 0.002; OR = 1.458, 95%CI: 1.328–1.602, p < 0.001). With respect to the rs2205960 polymorphism, significant associations between the T allele and SLE were found in all subjects (OR = 1.333, 95%CI: 1.254–1.418, p < 0.001), Asians (OR = 1.407, 95%CI: 1.345–1.471, p < 0.001) and Europeans (OR = 1.254, 95%CI: 1.185–1.328, p < 0.001). Results also showed significant associations between the additive model and SLE in all subjects and Asians (OR = 1.934, 95%CI: 1.500–2.494, p < 0.001; OR = 1.882, 95%CI: 1.318–2.689, p = 0.001). Furthermore, we detected significant associations between the dominant model and SLE in all subjects and Asians (OR = 1.421, 95%CI: 1.239–1.629, p < 0.001; OR = 1.297, 95%CI: 1.083–1.555, p = 0.005). Significant associations were found between the recessive model and SLE in overall subjects and Asians (OR = 1.677, 95%CI: 1.312–2.144, p < 0.001; OR = 1.751, 95%CI: 1.235–2.483, p = 0.002). Conclusion The present study suggested that TNFSF4 rs1234315 and rs2205960 polymorphisms were associated with SLE susceptibility.


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