National Genetics Reference Laboratory (Wessex), Salisbury, UK.
Clin Chem. 2010 Apr;56(4):593-602. doi: 10.1373/clinchem.2009.135426. Epub 2010 Feb 18.
Indirect alternatives to sequencing as a method for mutation scanning are of interest to diagnostic laboratories because they have the potential for considerable savings in both time and costs. Ideally, such methods should be simple, rapid, and highly sensitive, and they should be validated formally to a very high standard. Currently, most reported methods lack one or more of these characteristics. We describe the optimization and validation of conformation-sensitive capillary electrophoresis (CSCE) for diagnostic mutation scanning.
We initially optimized the performance of CSCE with a systematic panel of plasmid-based controls. We then compared manual analysis by visual inspection with automated analysis by BioNumerics software (Applied Maths) in a blinded interlaboratory validation with 402 BRCA1 (breast cancer 1, early onset) and BRCA2 (breast cancer 1, early onset) variants previously characterized by Sanger sequencing.
With automated analysis, we demonstrated a sensitivity of >99% (95% CI), which is indistinguishable from the sensitivity for conventional sequencing by capillary electrophoresis. The 95% CI for specificity was 90%-93%; thus, CSCE greatly reduces the number of fragments that need to be sequenced to fully characterize variants. By manual analysis, the 95% CIs for sensitivity and specificity were 98.3%-99.4% and 93.1%-95.5%, respectively.
CSCE is amenable to a high degree of automation, and analyses can be multiplexed to increase both capacity and throughput. We conclude that once it is optimized, CSCE combined with analysis with BioNumerics software is a highly sensitive and cost-effective mutation-scanning technique suitable for routine genetic diagnostic analysis of heterozygous nucleotide substitutions, small insertions, and deletions.
作为突变扫描的替代方法,间接测序方法引起了诊断实验室的兴趣,因为它们有可能在时间和成本上都有很大的节省。理想情况下,这些方法应该简单、快速、高度敏感,并且应该按照非常高的标准进行正式验证。目前,大多数报道的方法都缺乏这些特征中的一个或多个。我们描述了构象敏感毛细管电泳(CSCE)用于诊断性突变扫描的优化和验证。
我们最初用基于质粒的对照进行了 CSCE 的系统优化。然后,我们在一项盲法实验室间验证中,将手动分析(通过肉眼观察)与通过 BioNumerics 软件(Applied Maths)进行的自动分析进行了比较,该验证涉及 402 个先前通过 Sanger 测序进行特征描述的 BRCA1(乳腺癌 1,早发)和 BRCA2(乳腺癌 1,早发)变体。
使用自动分析,我们证明了>99%(95%置信区间)的灵敏度,这与毛细管电泳常规测序的灵敏度不可区分。特异性的 95%置信区间为 90%-93%;因此,CSCE 大大减少了完全特征化变体所需测序的片段数量。通过手动分析,灵敏度和特异性的 95%置信区间分别为 98.3%-99.4%和 93.1%-95.5%。
CSCE 易于高度自动化,并且可以进行多重分析以增加容量和吞吐量。我们得出结论,一旦优化,CSCE 结合使用 BioNumerics 软件进行分析,是一种高度敏感且具有成本效益的突变扫描技术,适用于杂合核苷酸取代、小插入和缺失的常规遗传诊断分析。