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首页> 外文期刊>Scientific reports. >Concordance of copy number abnormality detection using SNP arrays and Multiplex Ligation-dependent Probe Amplification (MLPA) in acute lymphoblastic leukaemia
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Concordance of copy number abnormality detection using SNP arrays and Multiplex Ligation-dependent Probe Amplification (MLPA) in acute lymphoblastic leukaemia

机译:拷贝数异常检测使用SNP阵列和多重结扎依赖性探针扩增(MLPA)在急性淋巴细胞白血病中的一致性

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摘要

In acute lymphoblastic leukaemia, MLPA has been used in research studies to identify clinically relevant copy number abnormality (CNA) profiles. However, in diagnostic settings other techniques are often employed. We assess whether equivalent CNA profiles are called using SNP arrays, ensuring platform independence. We demonstrate concordance between SNP6.0 and MLPA CNA calling on 143 leukaemia samples from two UK trials; comparing 1,287 calls within eight genes and a region. The techniques are 99% concordant using manually augmented calling, and 98% concordant using an automated pipeline. We classify these discordant calls and examine reasons for discordance. In nine cases the circular binary segmentation (CBS) algorithm failed to detect focal abnormalities or those flanking gaps in IKZF1 probe coverage. Eight cases were discordant due to probe design differences, with focal abnormalities detectable using one technique not observable by the other. Risk classification using manually augmented array calling resulted in four out of 143 patients being assigned to a different CNA risk group and eight patients using the automated pipeline. We conclude that MLPA defined CNA profiles can be accurately mirrored by SNP6.0 or similar array platforms. Automated calling using the CBS algorithm proved successful, except for IKZF1 which should be manually inspected.
机译:在急性淋巴细胞白血病中,MLPA已被用于研究研究,以确定临床相关的拷贝数异常(CNA)轮廓。但是,在诊断设置中,通常采用其他技术。我们评估是否使用SNP阵列调用等效的CNA配置文件,确保平台独立性。我们在两个英国试验中展示了SNP6.0和MLPA CNA呼吁143个白血病样本之间的一致性;比较八个基因和区域内的1,287个呼叫。使用自动化管道,使用手动增强呼叫和98%的协调,这些技术是99%的协调。我们分类这些不和谐的呼叫并审视义务的原因。在九个情况下,圆形二进制分割(CBS)算法未能检测IKZF1探针覆盖范围内的局灶性异常或侧翼间隙。由于探针设计差异,八种病例不和谐,使用一种不可观察到的技术无法观察到的局灶性异常。使用手动增强的阵列呼叫的风险分类导致143名患者中的四个分配给不同的CNA风险组和8名使用自动化管道的患者。我们得出结论,MLPA定义的CNA型材可以通过SNP6.0或类似的阵列平台精确镜像。除IKZF1外,使用CBS算法的自动呼叫是否已成功地进行成功,除了IKZF1,应该手动检查。

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