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遗传因素对非裔美国人类风湿关节炎易感性的影响。

Genetic influences on susceptibility to rheumatoid arthritis in African-Americans.

机构信息

Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.

Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.

出版信息

Hum Mol Genet. 2019 Mar 1;28(5):858-874. doi: 10.1093/hmg/ddy395.

Abstract

Large meta-analyses of rheumatoid arthritis (RA) susceptibility in European (EUR) and East Asian (EAS) populations have identified >100 RA risk loci, but genome-wide studies of RA in African-Americans (AAs) are absent. To address this disparity, we performed an analysis of 916 AA RA patients and 1392 controls and aggregated our data with genotyping data from >100 000 EUR and Asian RA patients and controls. We identified two novel risk loci that appear to be specific to AAs: GPC5 and RBFOX1 (PAA < 5 × 10-9). Most RA risk loci are shared across different ethnicities, but among discordant loci, we observed strong enrichment of variants having large effect sizes. We found strong evidence of effect concordance for only 3 of the 21 largest effect index variants in EURs. We used the trans-ethnic fine-mapping algorithm PAINTOR3 to prioritize risk variants in >90 RA risk loci. Addition of AA data to those of EUR and EAS descent enabled identification of seven novel high-confidence candidate pathogenic variants (defined by posterior probability > 0.8). In summary, our trans-ethnic analyses are the first to include AAs, identified several new RA risk loci and point to candidate pathogenic variants that may underlie this common autoimmune disease. These findings may lead to better ways to diagnose or stratify treatment approaches in RA.

摘要

大规模的类风湿关节炎(RA)易感性的欧洲(EUR)和东亚(EAS)人群的荟萃分析已经确定了>100 个 RA 风险基因座,但非洲裔美国人(AA)的 RA 全基因组研究是缺失的。为了解决这一差异,我们对 916 名 AA 类风湿关节炎患者和 1392 名对照进行了分析,并将我们的数据与来自>100000 名 EUR 和亚洲 RA 患者和对照的基因分型数据进行了汇总。我们确定了两个似乎只存在于 AA 中的新的风险基因座:GPC5 和 RBFOX1(PAA < 5×10-9)。大多数 RA 风险基因座在不同种族中是共享的,但在不一致的基因座中,我们观察到具有大效应大小的变异体强烈富集。我们发现,在 EUR 中 21 个最大效应指数变异体中,只有 3 个具有很强的效应一致性证据。我们使用跨种族精细映射算法 PAINTOR3 来优先考虑>90 个 RA 风险基因座中的风险变异体。将 AA 数据添加到 EUR 和 EAS 血统的数据中,能够鉴定出七个新的高置信度候选致病性变异体(后验概率>0.8)。总之,我们的跨种族分析是首次纳入 AA,确定了几个新的 RA 风险基因座,并指出可能导致这种常见自身免疫性疾病的候选致病性变异体。这些发现可能会导致更好的方法来诊断或分层治疗 RA。

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