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在全基因组关联研究时代的干燥综合征遗传学。

Genetics of Sjögren's syndrome in the genome-wide association era.

机构信息

Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA.

出版信息

J Autoimmun. 2012 Aug;39(1-2):57-63. doi: 10.1016/j.jaut.2012.01.008. Epub 2012 Jan 29.

Abstract

While Sjögren's syndrome (SS) is more common than related autoimmune disorders, such as systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA), scientific and medical research in SS has lagged behind significantly. This is especially true in the field of SS genetics, where efforts to date have relied heavily on candidate gene approaches. Within the last decade, the advent of the genome-wide association (GWA) scan has altered our understanding of disease pathogenesis in hundreds of disorders through the successful identification of novel risk loci. With strong evidence for a genetic component in SS as evidenced by familial aggregation of SS as well as similarities between SS and SLE and RA, the application of GWA approaches would likely yield numerous novel risk loci in SS. Here we review the fundamental scientific principles employed in GWA scans as well as the limitations of this tool, and we discuss the application of GWA scans in determining genetic variants at play in complex disease. We also examine the successful application of GWA scans in SLE, which now has more than 40 confirmed risk loci, and consider the possibility for a similar trajectory of SS genetic discovery in the era of GWA scans. Ultimately, the GWA studies that will be performed in SS have the potential to identify a myriad of novel genetic loci that will allow scientists to begin filling in the gaps in our understanding of the SS pathogenesis.

摘要

尽管干燥综合征(SS)比相关的自身免疫性疾病(如系统性红斑狼疮[SLE]和类风湿关节炎[RA])更为常见,但 SS 在科学和医学研究方面却明显滞后。这在 SS 遗传学领域尤为如此,迄今为止,相关研究主要依赖于候选基因方法。在过去的十年中,全基因组关联(GWA)扫描的出现通过成功鉴定新的风险位点,改变了我们对数百种疾病发病机制的认识。SS 存在遗传成分的有力证据,如 SS 的家族聚集以及 SS 与 SLE 和 RA 之间的相似性,因此 GWA 方法很可能会在 SS 中发现许多新的风险位点。本文回顾了 GWA 扫描中使用的基本科学原理以及该工具的局限性,并讨论了 GWA 扫描在确定复杂疾病中起作用的遗传变异中的应用。我们还研究了 GWA 扫描在 SLE 中的成功应用,SLE 现在已有超过 40 个确认的风险位点,并考虑了在 GWA 扫描时代 SS 遗传发现可能具有类似轨迹的可能性。最终,在 SS 中进行的 GWA 研究有可能确定许多新的遗传位点,使科学家能够开始填补我们对 SS 发病机制认识上的空白。

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