A novel method for creating artificial mutant samples for performance evaluation and quality control in clinical molecular genetics

一种用于临床分子遗传学性能评估和质量控制的人工突变样本构建新方法

阅读:1

Abstract

The lack of readily available, patient-derived materials for molecular genetic testing of many heterozygous or rare disorders creates a major impediment for laboratory proficiency and quality control procedures. The paucity of clinically derived mutation-positive samples could be surmounted if it were possible to construct artificial samples containing mutations of interest that would sufficiently resemble natural human samples. Such samples could then function as acceptable and realistic performance evaluation challenges and quality control reagents for recipient laboratories. Using the cystic fibrosis gene (CFTR) as a prototype, we have devised and executed experiments designed to generate unique DNA samples that could be used for these purposes. We used site-directed mutagenesis to generate mutations of interest in plasmid DNA derived from common bacterial artificial chromosome sources containing the cystic fibrosis transmembrane conductance receptor gene. CFTR mutations G85E and 1078delT were chosen to represent mutations in the original American College of Medical Genetics-recommended population-screening panel of 25 mutations. DNA samples containing predetermined concentrations and ratios of wild-type and mutated plasmids, bacterial artificial chromosomes of interest, and nonhuman genomic carrier DNA were characterized and tested in-house and in a group of nine pilot testing laboratories using a variety of technical platforms. The results indicate that these constructs, containing CFTR mutations in heterozygous and homozygous states, can serve as valid and accessible materials for quality assurance, including performance evaluation, proficiency testing, and assay quality control.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。