The Russian FSHD registry: a first look at the cohort.

IF 3.4 2区 生物学 Q2 GENETICS & HEREDITY
Anna Kuchina, Darya Sherstyukova, Artem Borovikov, Margarita Soloshenko, Nikolay Zernov, Dmitrii Subbotin, Elena Dadali, Inna Sharkova, Galina Rudenskaya, Sergey Kutsev, Mikhail Skoblov, Aysylu Murtazina
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引用次数: 0

Abstract

Facioscapulohumeral muscular dystrophy (FSHD) is a common hereditary neuromuscular disorder. The Russian FSHD Patient Registry was established in 2019 following the development of a PCR-based method for genetic confirmation of the diagnosis. The registry included 491 participants, of whom 51% were male. The mean age was 38.2 years (range 0-97 years), indicating a younger cohort compared to international data. Genetic confirmation of FSHD type 1 or type 2 was achieved for 76% of participants (n = 373). The remaining participants had not yet undergone genetic testing and were included based on clinical and anamnestic data. D4Z4 repeat units (RUs) ranged from 1 to 10, with equally predominant 3, 5, and 6 RUs, making our cohort more similar to Asian cohorts published earlier. Clinical assessment forms and patient-reported questionnaires were analyzed for 279 and 134 patients with genetically confirmed diagnoses, respectively. A moderate inverse correlation was found between RU number and clinical severity scales. Shoulder girdle weakness was the most common onset manifestation (45.2%), followed by facial weakness (34.4%). A delta-adjusted cluster analysis (n = 187) identified three distinct disease progression trajectories based on the temporal pattern of muscle involvement. The smallest cluster comprised patients with very slow progression, in whom facial muscle involvement occurred at late stages. The Russian FSHD registry provides a comprehensive characterization of a large national cohort, revealing a D4Z4 repeat unit distribution similar to Asian countries and a younger demographic profile than reported in international data. Cluster analysis identified three distinct disease progression trajectories, offering a valuable framework for improved patient stratification.

俄罗斯FSHD登记处:第一次看到队列。
面肩肱肌营养不良症(FSHD)是一种常见的遗传性神经肌肉疾病。俄罗斯FSHD患者登记处是在开发基于pcr的诊断遗传确认方法后于2019年建立的。该登记包括491名参与者,其中51%为男性。平均年龄为38.2岁(范围0-97岁),与国际数据相比,这是一个更年轻的队列。76%的参与者(n = 373)获得了FSHD 1型或2型的遗传确认。其余参与者尚未进行基因检测,并根据临床和记忆数据纳入研究。D4Z4重复单位(RUs)从1到10不等,同样占主导地位的是3、5和6个RUs,这使得我们的队列与之前发表的亚洲队列更相似。分别对279例和134例基因确诊患者的临床评估表和患者报告的问卷进行分析。RU数与临床严重程度量表呈中度负相关。肩带无力是最常见的发病表现(45.2%),其次是面部无力(34.4%)。一项delta调整聚类分析(n = 187)根据肌肉受累的时间模式确定了三种不同的疾病进展轨迹。最小的组群包括进展非常缓慢的患者,在晚期发生面部肌肉受累。俄罗斯FSHD登记提供了一个大型国家队列的全面特征,揭示了与亚洲国家相似的D4Z4重复单位分布,并且比国际数据报道的人口结构更年轻。聚类分析确定了三种不同的疾病进展轨迹,为改善患者分层提供了有价值的框架。
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来源期刊
Human Genetics
Human Genetics 生物-遗传学
CiteScore
10.80
自引率
3.80%
发文量
94
审稿时长
1 months
期刊介绍: Human Genetics is a monthly journal publishing original and timely articles on all aspects of human genetics. The Journal particularly welcomes articles in the areas of Behavioral genetics, Bioinformatics, Cancer genetics and genomics, Cytogenetics, Developmental genetics, Disease association studies, Dysmorphology, ELSI (ethical, legal and social issues), Evolutionary genetics, Gene expression, Gene structure and organization, Genetics of complex diseases and epistatic interactions, Genetic epidemiology, Genome biology, Genome structure and organization, Genotype-phenotype relationships, Human Genomics, Immunogenetics and genomics, Linkage analysis and genetic mapping, Methods in Statistical Genetics, Molecular diagnostics, Mutation detection and analysis, Neurogenetics, Physical mapping and Population Genetics. Articles reporting animal models relevant to human biology or disease are also welcome. Preference will be given to those articles which address clinically relevant questions or which provide new insights into human biology. Unless reporting entirely novel and unusual aspects of a topic, clinical case reports, cytogenetic case reports, papers on descriptive population genetics, articles dealing with the frequency of polymorphisms or additional mutations within genes in which numerous lesions have already been described, and papers that report meta-analyses of previously published datasets will normally not be accepted. The Journal typically will not consider for publication manuscripts that report merely the isolation, map position, structure, and tissue expression profile of a gene of unknown function unless the gene is of particular interest or is a candidate gene involved in a human trait or disorder.
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