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Investigating the viability of genetic screening/testing for RA susceptibility using combinations of five confirmed risk loci

机译:使用五个已确证的风险基因座的组合调查基因筛查/检测RA敏感性的可行性

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摘要

>Objective. Five loci—the shared epitope (SE) of HLA-DRB1, the PTPN22 gene, a locus on 6q23, the STAT4 gene and a locus mapping to the TRAF1/C5 genetic region—have now been unequivocally confirmed as conferring susceptibility to RA. The largest single effect is conferred by SE. We hypothesized that combinations of susceptibility alleles may increase risk over and above that of any individual locus alone.>Methods. We analysed data from 4238 RA cases and 1811 controls, for which genotypes were available at all five loci.>Results. Statistical analysis identified eight high-risk combinations conferring an odds ratio >6 compared with carriage of no susceptibility variants and, interestingly, 10% population controls carried a combination conferring high risk. All high-risk combinations included SE, and all but one contained PTPN22. Statistical modelling showed that a model containing only these two loci could achieve comparable sensitivity and specificity to a model including all five. Furthermore, replacing SE (which requires full subtyping at the HLA-DRB1 gene) with DRB1*1/4/10 carriage resulted in little further loss of information (correlation coefficient between models = 0.93).>Conclusions. This represents the first exploration of the viability of population screening for RA and identifies several high-risk genetic combinations. However, given the population incidence of RA, genetic screening based on these loci alone is neither sufficiently sensitive nor specific at the current time.
机译:>目的。现在已经有了5个基因座-HLA-DRB1的共享表位(SE),PTPN22基因,6q23上的基因座,STAT4基因和映射到TRAF1 / C5遗传区域的基因座。明确证实为RA易感人群。 SE赋予了最大的单一效果。我们假设易感性等位基因的组合可能增加风险,超过单独的单个基因座。>方法。我们分析了来自4238个RA病例和1811个对照的数据,这些基因型在所有五个位点均可用。 >结果。统计分析确定了八种高风险组合,比无药敏变异携带的优势比大于6,有趣的是,有10%的人口控制携带了高风险组合。所有高风险组合均包含SE,除一个组合外均包含PTPN22。统计模型表明,仅包含这两个基因座的模型可以实现与包括所有五个基因座的模型相当的敏感性和特异性。此外,用DRB1 * 1/4/10载体取代SE(需要在HLA-DRB1基因上进行完全亚型化)会导致进一步的信息丢失(模型之间的相关系数= 0.93)。>结论。这是对RA人群筛查的可行性的首次探索,并确定了几种高风险的遗传组合。但是,考虑到RA的发病率,目前仅基于这些基因座的遗传筛查既不够敏感,也没有特异性。

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