Lamar Kay-Marie, McNally Elizabeth M
Department of Human Genetics, Department of Medicine, Section of Cardiology, The University of Chicago, Chicago, IL, USA.
J Neuromuscul Dis. 2014;1(1):3-13. doi: 10.3233/JND-140023.
Neuromuscular diseases, which encompass disorders that affect muscle and its innervation, are highly heritable. Genetic diagnosis now frequently pinpoints the primary mutation responsible for a given neuromuscular disease. However, the results from genetic testing indicate that neuromuscular disease phenotypes may vary widely, even in individuals with the same primary disease-causing mutation. Clinical variability arises from both genetic and environmental factors. Genetic modifiers can now be identified using candidate gene as well as genomic approaches. The presence of genetic modifiers for neuromuscular disease helps define the clinical outcome and also highlights pathways of potential therapeutic utility. Herein, we will focus on single gene neuromuscular disorders, including muscular dystrophy, spinal muscular atrophy, and amyotrophic lateral sclerosis, and the methods that have been used to identify modifier genes. Animal models have been an invaluable resource for modifier gene discovery and subsequent mechanistic studies. Some modifiers, identified using animal models, have successfully translated to the human counterpart. Furthermore, in a few instances, modifier gene discovery has repetitively uncovered the same pathway, such as TGFβ signaling in muscular dystrophy, further emphasizing the relevance of that pathway. Knowledge of genetic factors that influence disease can have direct clinical applications for prognosis and predicted outcome.
神经肌肉疾病包括影响肌肉及其神经支配的疾病,具有高度遗传性。基因诊断如今常常能精准找出导致特定神经肌肉疾病的原发性突变。然而,基因检测结果表明,即使是携带相同原发性致病突变的个体,神经肌肉疾病的表型也可能有很大差异。临床变异性源于遗传和环境因素。现在可以使用候选基因以及基因组方法来识别遗传修饰因子。神经肌肉疾病遗传修饰因子的存在有助于确定临床结果,也凸显了具有潜在治疗效用的途径。在此,我们将聚焦于单基因神经肌肉疾病,包括肌肉萎缩症、脊髓性肌萎缩症和肌萎缩侧索硬化症,以及用于识别修饰基因的方法。动物模型一直是发现修饰基因及后续进行机制研究的宝贵资源。一些通过动物模型识别出的修饰因子已成功应用于人类。此外,在少数情况下,修饰基因的发现反复揭示了相同的途径,比如肌肉萎缩症中的转化生长因子β信号通路,这进一步强调了该途径的相关性。了解影响疾病的遗传因素可直接应用于临床预后和预测结果。