IGBMC (Institut de Génétique et de Biologie Moléculaire et Cellulaire), 1, rue Laurent Fries, BP 10142, 67404 Illkirch, France.
Acta Neuropathol. 2013 Feb;125(2):173-85. doi: 10.1007/s00401-012-1072-7. Epub 2012 Dec 7.
Neuromuscular disorders (NMD) such as neuropathy or myopathy are rare and often severe inherited disorders, affecting muscle and/or nerves with neonatal, childhood or adulthood onset, with considerable burden for the patients, their families and public health systems. Genetic and clinical heterogeneity, unspecific clinical features, unidentified genes and the implication of large and/or several genes requiring complementary methods are the main drawbacks in routine molecular diagnosis, leading to increased turnaround time and delay in the molecular validation of the diagnosis. The application of massively parallel sequencing, also called next generation sequencing, as a routine diagnostic strategy could lead to a rapid screening and fast identification of mutations in rare genetic disorders like NMD. This review aims to summarize and to discuss recent advances in the genetic diagnosis of neuromuscular disorders, and more generally monogenic diseases, fostered by massively parallel sequencing. We remind the challenges and benefit of obtaining an accurate genetic diagnosis, introduce the massively parallel sequencing technology and its novel applications in diagnosis of patients, prenatal diagnosis and carrier detection, and discuss the limitations and necessary improvements. Massively parallel sequencing synergizes with clinical and pathological investigations into an integrated diagnosis approach. Clinicians and pathologists are crucial in patient selection and interpretation of data, and persons trained in data management and analysis need to be integrated to the diagnosis pipeline. Massively parallel sequencing for mutation identification is expected to greatly improve diagnosis, genetic counseling and patient management.
神经肌肉疾病(NMD)如神经病或肌病是罕见的,且通常为严重的遗传性疾病,影响肌肉和/或神经,其发病可在新生儿期、儿童期或成年期,对患者、其家庭和公共卫生系统都有很大的负担。遗传和临床异质性、非特异性临床特征、未识别的基因以及需要互补方法的大基因或多个基因的涉及是常规分子诊断中的主要缺点,导致周转时间增加和诊断的分子验证延迟。大规模平行测序(也称为下一代测序)作为常规诊断策略的应用可能导致对神经肌肉疾病等罕见遗传疾病的突变进行快速筛查和快速鉴定。这篇综述旨在总结和讨论大规模平行测序促进的神经肌肉疾病,更广泛地说是单基因疾病的遗传诊断的最新进展。我们提醒获得准确遗传诊断的挑战和益处,介绍大规模平行测序技术及其在患者诊断、产前诊断和携带者检测中的新应用,并讨论其局限性和必要的改进。大规模平行测序与临床和病理研究相结合,形成了一种综合诊断方法。临床医生和病理学家在患者选择和数据分析解释方面起着至关重要的作用,需要将受过数据管理和分析培训的人员纳入诊断流程。突变鉴定的大规模平行测序有望大大改善诊断、遗传咨询和患者管理。