Papadopoulou Eirini, Pepe Georgia, Konitsiotis Spiridon, Chondrogiorgi Maria, Grigoriadis Nikolaos, Kimiskidis Vasilios K, Tsivgoulis Georgios, Mitsikostas Dimos D, Chroni Elisabeth, Domouzoglou Eleni, Tsaousis Georgios, Nasioulas Georgios
GeneKor Medical SA, Spaton 52, Gerakas 15344, Greece.
GeneKor Medical SA, Spaton 52, Gerakas 15344, Greece.
J Neurol Sci. 2023 Apr 15;447:120609. doi: 10.1016/j.jns.2023.120609. Epub 2023 Mar 5.
Technological advancements have facilitated the availability of reliable and thorough genetic analysis in many medical fields, including neurology. In this review, we focus on the importance of selecting the appropriate genetic test to aid in the accurate identification of disease utilizing currently employed technologies for analyzing monogenic neurological disorders. Moreover, the applicability of comprehensive analysis via NGS for various genetically heterogeneous neurological disorders is reviewed, revealing its efficiency in clarifying a frequently cloudy diagnostic picture and delivering a conclusive and solid diagnosis that is essential for the proper management of the patient. The feasibility and effectiveness of medical genetics in neurology require interdisciplinary cooperation among several medical specialties and geneticists, to select and perform the most relevant test according to each patient's medical history, using the most appropriate technological tools. The prerequisites for a comprehensive genetic analysis are discussed, highlighting the utility of appropriate gene selection, variant annotation, and classification. Moreover, genetic counseling and interdisciplinary collaboration could improve diagnostic yield further. Additionally, a sub-analysis is conducted on the 1,502,769 variation records with submitted interpretations in the Clinical Variation (ClinVar) database, with a focus on neurology-related genes, to clarify the value of suitable variant categorization. Finally, we review the current applications of genetic analysis in the diagnosis and personalized management of neurological patients and the advances in the research and scientific knowledge of hereditary neurological disorders that are evolving the utility of genetic analysis towards the individualization of the treatment strategy.
技术进步促进了包括神经学在内的许多医学领域中可靠且全面的基因分析的可用性。在本综述中,我们着重探讨选择合适的基因检测以利用当前用于分析单基因神经疾病的技术辅助准确识别疾病的重要性。此外,还综述了通过二代测序(NGS)进行全面分析对各种基因异质性神经疾病的适用性,揭示了其在厘清通常模糊的诊断情况以及提供对患者恰当管理至关重要的确定性和可靠诊断方面的效率。神经学中医学遗传学的可行性和有效性需要多个医学专科和遗传学家之间的跨学科合作,以便根据每位患者的病史,使用最合适的技术工具选择并进行最相关的检测。讨论了全面基因分析的先决条件,强调了合适的基因选择、变异注释和分类的效用。此外,遗传咨询和跨学科合作可进一步提高诊断率。此外,对临床变异(ClinVar)数据库中提交了注释的1,502,769条变异记录进行了子分析,重点关注与神经学相关的基因,以阐明合适的变异分类的价值。最后,我们综述了基因分析在神经疾病患者诊断和个性化管理中的当前应用,以及遗传性神经疾病研究和科学知识的进展,这些进展正在使基因分析的效用朝着治疗策略的个体化发展。