Center for Genome Research, University of Modena and Reggio Emilia, Modena, Italy.
Department of Medical and Surgical Sciences, University of Modena ad Reggio Emilia, Modena, Italy.
PLoS One. 2018 Nov 27;13(11):e0206855. doi: 10.1371/journal.pone.0206855. eCollection 2018.
Genetic testing availability in the health care system is rapidly increasing, along with the diffusion of next-generation sequencing (NGS) into diagnostics. These issues make imperative the knowledge-drive optimization of testing in the clinical setting. Time estimations of wet laboratory procedure in Italian molecular laboratories offering genetic diagnosis were evaluated to provide data suitable to adjust efficiency and optimize health policies and costs. A survey was undertaken by the Italian Society of Human Genetics (SIGU). Forty-two laboratories participated. For most molecular techniques, the most time-consuming steps are those requiring an intensive manual intervention or in which the human bias can affect the global process time-performances. For NGS, for which the study surveyed also the interpretation time, the latter represented the step that requiring longer times. We report the first survey describing the hands-on times requested for different molecular diagnostics procedures, including NGS. The analysis of this survey suggests the need of some improvements to optimize some analytical processes, such as the implementation of laboratory information management systems to minimize manual procedures in pre-analytical steps which may affect accuracy that represents the major challenge to be faced in the future setting of molecular genetics laboratory.
随着下一代测序(NGS)在诊断中的应用,医疗系统中的基因检测可用性正在迅速增加。这些问题使得在临床环境中进行测试的知识驱动优化变得至关重要。为了提供适合调整效率和优化卫生政策和成本的数据,评估了意大利提供基因诊断的分子实验室中湿实验室程序的时间估计值。意大利人类遗传学学会(SIGU)进行了一项调查。有 42 个实验室参与。对于大多数分子技术,最耗时的步骤是需要密集人工干预的步骤,或者在这些步骤中,人为偏见会影响整个过程的时间表现。对于 NGS,该研究还调查了其解释时间,后者代表了需要更长时间的步骤。我们报告了首次描述不同分子诊断程序(包括 NGS)所需实际操作时间的调查。这项调查的分析表明,需要进行一些改进,以优化某些分析过程,例如实施实验室信息管理系统,以最小化预分析步骤中的手动操作,这些操作可能会影响准确性,这是未来分子遗传学实验室面临的主要挑战。