The genetics of scleroderma (systemic sclerosis)
CURRENT OPINION IN RHEUMATOLOGY
Authors: Agarwal, Sandeep K.; Reveille, John D.
Abstract
Purpose of review To determine the advances made in the genetics of scleroderma in candidate gene association studies. Recent findings Over the past 18 months, a number of candidate gene studies using large case-control.. series in scleroderma have been reported. The studies have identified multiple genes involved in immune regulation including BANK1, C8orf13-BLK, IL-23R, IRF5, STAT4, TBX21, and TNFSF4 as susceptibility genes for the development of SSc. Furthermore, gene-gene interaction studies suggest that IRF5, STAT4, and BANK1 as well as TBX21 and STAT4 interact with regard to scleroderma susceptibility. Many of the genetic variants associated with SSc susceptibility are shared among other autoimmune diseases such as rheumatoid arthritis and systemic lupus erythematosus. Summary Candidate gene association studies have substantially advanced our understanding of the pathogenesis of SSc and demonstrate that SSc is a polygenic, autoimmune disease.
Association between TNFSF4 tagSNPs and myocardial infarction in a Chinese Han population
GENETICS AND MOLECULAR RESEARCH
Authors: Cheng, J.; Cen, J. -M.; Cai, M. -Y.; Xu, S.; Li, L.; Li, Z. -C.; Yang, X. -L.; Chen, C.; Liu, X.; Xiong, X. -D.
Abstract
Tumor necrosis factor superfamily member 4 (TNFSF4) plays an important role in atherosclerosis development. However, the biological significance of TNFSF4 variants on myocardial infarction (MI) pathogenesis remains poorly understood. We investigated the influence of 5 TNFSF4 tagging single nucleotide polymorphisms (rs3861950, rs17346501, rs7518045, rs1234313, and rs3850641) on individual susceptibility to MI in a Chinese population of 285 MI patients and 645 controls. Genotyping was performed using the polymerase chain reaction-ligase detection reaction method. In multivariate logistic regression analysis, only the TNFSF4 tagging single nucleotide polymorphism rs7518045 exhibited a significant effect on MI risk; A allele (odds ratio = 0.68, 95% confidence interval = 0.46-1.00, P = 0.048) and AA genotype (odds ratio = 0.64, 95% confidence interval = 0.42-0.97, P = 0.036) were associated with a decreased risk of MI compared with the G allele and the combined AG/GG genotype, respectively. Moreover, the haplotype rs3861950C-rs17346501C-rs7518045A-rs1234313G containing the rs7518045 A allele also exhibited a significant association with a decreased risk for MI (odds ratio = 0.42, 95% confidence interval = 0.21-0.84, P = 0.011). Our study showed that the A allele of the rs7518045 and haplotype rs3861950C-rs17346501C-rs7518045A-rs1234313G in the TNFSF4 gene were associated with decreased MI risk in a Chinese Han population. Further studies using larger sample sizes and in diverse ethnic populations are needed to confirm the general validity of our findings.