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首页> 外文期刊>Molecular and Cellular Probes: The Location, Diagnosis and Monitoring of Disease by Specific Molecules and Cell Lines >Loss of function of PGAP1 as a cause of severe encephalopathy identified by Whole Exome Sequencing: Lessons of the bioinformatics pipeline
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Loss of function of PGAP1 as a cause of severe encephalopathy identified by Whole Exome Sequencing: Lessons of the bioinformatics pipeline

机译:通过全外显子组测序确定PGAP1功能丧失是导致严重脑病的原因:生物信息学流程的教训

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We evaluated a multiple consanguineous Turkish family with two children, a boy and a girl, affected by severe encephalopathy, hypotonia, microcephaly and retinal dystrophy by a combination of linkage analysis and Whole Exome Sequencing (WES). We analyzed the sequence data by two different bioinformatics pipelines which did not differ in overall processing strategy but involved differences in software used, minor allele frequency (MAF) thresholds and reference data sets, the usage of in-house control exomes and filter settings to prioritize called variants. Assuming autosomal recessive mode of inheritance, only homozygous variants present in both children were considered. The resulting variant lists differed partially (nine variants identified by both pipelines, ten variants by only one pipeline). Major reasons for this discrepancy were different filters for MAF and different variant prioritizations. Combining the variant lists with the results of linkage analysis and further prioritization by expression data and prediction tools, an intronic homozygous splice variant (c.1090-2A>G; IVS9-2A>G; p.?) in PGAP1 (Post-GPI Attachment To Proteins 1) was identified and validated by cDNA analysis. PGAP1 ensures the first step of maturation of GPI (glycosylphosphatidylinositol)-anchor proteins. Recently, a homozygous loss-of-function mutation in PGAP1 has been reported in one family with two children affected by a similar phenotype. The present report not only illustrates the possible influence of specific filtering settings on the results of WES but also confirms PGAP1 as a cause of severe encephalopathy. (C) 2015 Elsevier Ltd. All rights reserved.
机译:我们通过连锁分析和全基因组测序(WES)的组合,评估了一个多血缘的土耳其家庭,有两个孩子,一个男孩和一个女孩,患有严重的脑病,肌张力低下,小头畸形和视网膜营养不良。我们通过两个不同的生物信息学流水线分析了序列数据,这些流水线的总体处理策略没有差异,但所用软件有所不同,次要等位基因频率(MAF)阈值和参考数据集不同,内部控制外显子组的使用和过滤器设置的优先级称为变体。假设遗传是常染色体隐性遗传,则仅考虑两个孩子中均存在的纯合变异。产生的变体列表部分不同(两个流水线标识了九个变体,仅一个流水线标识了十个变体)。造成这种差异的主要原因是针对MAF的过滤条件不同以及变量优先级不同。将变体列表与连锁分析结果相结合,并通过表达数据和预测工具进一步确定优先顺序,从而在PGAP1中获得内含子纯合剪接变体(c.1090-2A> G; IVS9-2A> G; p.?)(GPI后)附着于蛋白质1)已通过cDNA分析鉴定并验证。 PGAP1确保GPI(糖基磷脂酰肌醇)-锚蛋白成熟的第一步。最近,在一个有两个孩子受到相似表型影响的家庭中,PGAP1的纯合功能丧失突变已有报道。本报告不仅说明了特定过滤设置可能对WES结果产生的影响,还证实了PGAP1是导致严重脑病的原因。 (C)2015 Elsevier Ltd.保留所有权利。

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