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首页> 外文期刊>Journal of genetics >Paradigm for disease deconvolution in rare neurodegenerative disorders in Indian population: insights from studies in cerebellar ataxias
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Paradigm for disease deconvolution in rare neurodegenerative disorders in Indian population: insights from studies in cerebellar ataxias

机译:印度人口罕见的神经退行性疾病中疾病去卷积的范例:小脑性共济失调研究的见解

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Cerebellar ataxias are a group of rare progressive neurodegenerative disorders with an average prevalence ranges from 4.8 to 13.8 in 100,000 individuals. The inherited disorders affect multiple members of the families, or a community that is endogamous or consanguineous. Presence of more than 3000 mutations in different genes with overlapping clinical symptoms, genetic anticipation and pleiotropy, as well as incomplete penetrance and variable expressivity due to modifiers pose challenges in genotypea??phenotype correlation. Development of a diagnostic algorithm could reduce the time as well as cost in clinicogenetic diagnostics and also help in reducing the economic and social burden of the disease. In a unique research collaboration spanning over 20 years, we have been able to develop a paradigm for studying cerebellar ataxias in the Indian population which would also be relevant in other rare diseases. This has involved clinical and genetic analysis of thousands of families from diverse Indian populations. The extensive resource on ataxia has led to the development of a clinicogenetic algorithm for cost-effective screening of ataxia and a unique ataxia clinic in thetertiary referral centre in All India Institute of Medical Sciences. Utilizing a population polymorphism scanning approach, we have been able to dissect the mechanisms of repeat instability and expansion in many ataxias, and also identify founders, and trace the mutational histories in the Indian population. This provides information for genetic testing of ata??risk as well as protected individuals and populations. To dissect uncharacterized cases which comprises more than 50% of the cases, we have explored the potential of next-generation sequencing technologies coupled with the extensive resource of baseline data generated in-house and other public domains. We have also developed a repository of patient-derived peripheral blood mononuclear cells, lymphoblastoid cell lines andneuronal lineages (derived from iPSCs) for ascribing functionality to novel genes/mutations. Through integrating these technologies, novel genes have been identified that has broadened the diagnostic panel, increased the diagnostic yield to over 75%, helped in ascribing pathogenicity to novel mutations and enabled understanding of disease mechanisms. It has also provided a platform fortesting novel molecules for amelioration of pathophysiological phenotypes. This review through a perspective on CAs suggests a generic paradigm from diagnostics to therapeutic interventions for rare disorders in the context of heterogeneous Indian populations.
机译:小脑性共济失调是一组罕见的进行性神经退行性疾病,平均发病率在100,000个人中介于4.8至13.8之间。遗传性疾病影响家庭的多个成员,或内婚或近亲的社区。不同基因中存在3000多个突变,具有重叠的临床症状,遗传预期和多效性,以及修饰因子导致的不完全渗透和可变表达,给基因型-表型相关性带来了挑战。诊断算法的开发可以减少临床遗传学诊断的时间和成本,还有助于减轻疾病的经济和社会负担。在20多年的独特研究合作中,我们已经能够开发出一种模式,用于研究印度人口中的小脑性共济失调,这也可能与其他罕见疾病有关。这涉及对来自不同印度人口的数千个家庭的临床和遗传分析。关于共济失调的广泛资源导致开发了一种经济有效的筛选共济失调的临床遗传算法,并在全印度医学科学研究所的转诊中心建立了一个独特的共济失调诊所。利用种群多态性扫描方法,我们已经能够剖析许多共济失调中重复不稳定和扩展的机制,还可以确定创始人,并追踪印度人口的突变历史。这提供了对ATA风险以及受保护的个人和人群进行基因测试的信息。为了剖析超过50%的案例,我们探索了下一代测序技术的潜力以及内部和其他公共领域生成的基准数据的广泛资源。我们还开发了患者来源的外周血单核细胞,成淋巴细胞样细胞系和神经元谱系(来自iPSC)的存储库,用于将功能归因于新基因/突变。通过整合这些技术,已发现了新颖的基因,拓宽了诊断范围,将诊断率提高到75%以上,有助于将致病性归因于新颖的突变并有助于了解疾病的机制。它还提供了一个平台,用于测试新型分子,以改善病理生理表型。本文通过对CA的观点进行了回顾,提出了从异种印度人群中罕见疾病的诊断到治疗干预的通用范例。

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