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Association of a rare variant of the TNFSF13B gene with susceptibility to Rheumatoid Arthritis and Systemic Lupus Erythematosus.

David González-Serna | Lourdes Ortiz-Fernández | Sofía Vargas | Antonio García | Enrique Raya | Benjamín Fernández-Gutierrez | Francisco Javier López-Longo | Alejandro Balsa | Isidoro González-Álvaro | Javier Narvaez | Carmen Gómez-Vaquero | José Mario Sabio | Rosa García-Portales | María Francisca González-Escribano | Carles Tolosa | Patricia Carreira | Lambertus Kiemeney | Marieke J H Coenen | Torsten Witte | Matthias Schneider | Miguel Ángel González-Gay | Javier Martín
Scientific reports | 2018

A rare variant (BAFF-var) of the tumor necrosis factor superfamily 13b (TNFSF13B) gene has been recently associated with multiple sclerosis (MS) and systemic lupus erythematosus (SLE). The aim of this study was to investigate the association between TNFSF13B BAFF-var and susceptibility to rheumatoid arthritis (RA) and replicate that association in SLE. 6,218 RA patients, 2,575 SLE patients and 4,403 healthy controls from three different countries were included in the study. TNFSF13B BAFF-var was genotyped using TaqMan allelic discrimination assay. PLINK software was used for statistical analyses. TNFSF13B BAFF-var was significantly associated with RA (p = 0.015, OR = 1.21, 95% CI = 1.03-1.41) in the Spanish cohort. A trend of association was observed in the Dutch (p = 0.115) and German (p = 0.228) RA cohorts. A meta-analysis of the three RA cohorts included in this study revealed a statistically significant association (p = 0.002, OR = 1.24, 95% CI = 1.10-1.38). In addition, TNFSF13B BAFF-var was significantly associated with SLE in the Spanish (p = 0.001, OR = 1.41, 95% CI = 1.14-1.74) and the German cohorts (p = 0.030, OR = 1.86, 95% CI = 1.05-3.28), with a statistically significant p-value obtained in the meta-analysis (p = 0.0002, OR = 1.46, 95% CI = 1.09-2.32). The results obtained confirm the known association of TNFSF13B BAFF-var with SLE and, for the first time, demonstrate that this variant contributes to susceptibility to RA.

Pubmed ID: 29844438

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This is a list of tools and resources that we have found mentioned in this publication.


Calculator for Association with Two Stage design (tool)

RRID:SCR_007238

Software tool for carrying out power calculations for large genetic association studies, including two stage genome wide association studies.

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PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

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