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多自身免疫性疾病突变的定义。

Definition of mutations in polyautoimmunity.

机构信息

Genomics and Predictive Medicine, Genome Biology Department, John Curtin School of Medical Research, ANU College of Medicine, Biology & Environment, The Australian National University, Canberra, ACT, Australia.

Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia.

出版信息

J Autoimmun. 2016 Aug;72:65-72. doi: 10.1016/j.jaut.2016.05.003. Epub 2016 May 18.

Abstract

OBJECTIVES

Familial autoimmunity and polyautoimmunity represent extreme phenotypes ideal for identifying major genomic variants contributing to autoimmunity. Whole exome sequencing (WES) and linkage analysis are well suited for this purpose due to its strong resolution upon familial segregation patterns of functional protein coding and splice variants. The primary objective of this study was to identify potentially autoimmune causative variants using WES data from extreme pedigrees segregating polyautoimmunity phenotypes.

METHODS

DNA of 47 individuals across 10 extreme pedigrees, ascertained from probands affected with polyautoimmunity and familial autoimmunity, were selected for WES. Variant calls were obtained through Genome Analysis Toolkit. Filtration and prioritization framework to identify mutation(s) were applied, and later implemented for genetic linkage analysis. Sanger sequencing corroborated variants with significant linkage.

RESULTS

Novel and mostly rare variants harbored in SRA1, MLL4, ABCB8, DHX34 and PLAUR showed significant linkage (LOD scores are >3.0). The strongest signal was in SRA1, with a LOD score of 5.48. Network analyses indicated that SRA1, PLAUR and ABCB8 contribute to regulation of apoptotic processes.

CONCLUSIONS

Novel and rare variants in genetic linkage with polyautoimmunity were identified throughout WES. Genes harboring these variants might be major players of autoimmunity.

摘要

目的

家族自身免疫和多自身免疫是表现极端的表型,非常适合鉴定导致自身免疫的主要基因组变异。全外显子测序(WES)和连锁分析非常适合这一目的,因为它在功能蛋白编码和剪接变异的家族分离模式上具有很强的分辨率。本研究的主要目的是使用来自多自身免疫表型分离的极端家系的 WES 数据来鉴定潜在的自身免疫致病变异。

方法

从受多自身免疫和家族自身免疫影响的先证者中确定的 10 个极端家系的 47 名个体的 DNA 被选择用于 WES。通过基因组分析工具包获得变异呼叫。应用了过滤和优先级框架来识别突变,并随后用于遗传连锁分析。Sanger 测序证实了与显著连锁的变异。

结果

SRA1、MLL4、ABCB8、DHX34 和 PLAUR 中携带的新的且主要是罕见的变异与多自身免疫存在显著连锁(LOD 评分>3.0)。最强的信号是在 SRA1 中,LOD 评分为 5.48。网络分析表明,SRA1、PLAUR 和 ABCB8 有助于调节凋亡过程。

结论

通过 WES 鉴定了与多自身免疫遗传连锁的新型和罕见变异。携带这些变异的基因可能是自身免疫的主要参与者。

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