A Phenotypic Atlas for Huntington Disease Based on Data From the Enroll-HD Cohort Study.

IF 3 3区 医学 Q2 CLINICAL NEUROLOGY
Neurology-Genetics Pub Date : 2023-11-28 eCollection Date: 2023-12-01 DOI:10.1212/NXG.0000000000200111
Douglas R Langbehn, Swati S Sathe, Clement Loy, Cristina Sampaio, Elizabeth A Mccusker
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引用次数: 0

Abstract

Background and objectives: The variable CAG repeat expansion in the huntingtin gene and its inverse relationship to motor dysfunction onset are fundamental features of Huntington disease (HD). However, the wider phenotype (including non-motor features) at particular CAG lengths, ages, and functional levels is less well-characterized. The large number of participants in the Enroll-HD observational study enables the development of a phenotype atlas that summarizes the range and distribution of HD phenotypes, including outliers and possible clusters, with respect to various CAG repeat lengths, age ranges, and declining functional levels.

Methods: Enroll-HD is an ongoing prospective longitudinal observational study that collects natural history data, releasing periodic data sets, in people with HD (PwHD) and controls. Core assessments at annual visits focus on behavioral, cognitive, motor, and functional status. Periodic data set 5, used for the development of the first iteration of the Enroll-HD Phenotype Atlas (EHDPA), included all eligible data collected through October 31, 2020. The atlas is based on subsets (cells) of descriptive data for all motor, cognitive, psychiatric, and functional measures that are routinely collected at most Enroll-HD sites, analyzed by single CAG lengths and 5-year age blocks.

Results: Data from 42,840 visits from 15,982 unique PwHD were available for analysis. At baseline, participants had a mean ± SD age of 48.9 ± 13.9 years and CAG repeat length of 43.4 ± 3.6 and 54.1% were female. The EHDPA includes 223 age-by-CAG subsets for CAG repeats between 36 and 69 with five-year age brackets starting from 20-24 years up to 85-89 years. The atlas can be browsed at enroll-hd.org/for-researchers/atlas-of-hd-phenotype/.

Discussion: The EHDPA summarizes the spectrum and distribution of HD phenotypes, including outliers and possible clusters, in all domains of disease involvement for the range of CAG repeat lengths, ages, and functional levels. Its availability in an easy-to-use online format will assist clinicians in tracking disease progression in PwHD by identifying phenotypic features most associated with loss of function and enabling conversations related to prognosis. The observable patterns in the EHDPA should also catalyze more formal multidomain characterization of motor, cognitive, and psychiatric progression and their relationships to functional decline and disease modifiers.

Trial registration information: Enroll-HD is registered with clinicaltrials.gov: NCT01574053.

基于入组亨廷顿舞蹈症队列研究数据的亨廷顿病表型图谱
背景与目的:亨廷顿蛋白基因中可变CAG重复扩增及其与运动功能障碍发病的反比关系是亨廷顿病(HD)的基本特征。然而,在特定CAG长度、年龄和功能水平上,更广泛的表型(包括非运动特征)尚未得到很好的表征。在Enroll-HD观察性研究中,大量的参与者使表型图谱的开发成为可能,该图谱总结了HD表型的范围和分布,包括异常值和可能的集群,涉及各种CAG重复长度,年龄范围和下降的功能水平。方法:注册-HD是一项正在进行的前瞻性纵向观察研究,收集HD (PwHD)患者和对照组的自然历史数据,发布定期数据集。年度访问的核心评估侧重于行为,认知,运动和功能状态。定期数据集5用于开发第一次迭代的登载hd表型图谱(EHDPA),包括截至2020年10月31日收集的所有符合条件的数据。该图谱是基于在大多数注册hd站点常规收集的所有运动、认知、精神和功能测量的描述性数据的子集(细胞),通过单个CAG长度和5岁年龄块进行分析。结果:来自15,982个独特PwHD的42,840次访问数据可用于分析。基线时,参与者的平均±SD年龄为48.9±13.9岁,CAG重复长度为43.4±3.6,女性占54.1%。EHDPA包括223个按年龄划分的CAG亚群,用于36至69岁之间的CAG重复序列,5岁年龄段从20-24岁到85-89岁不等。EHDPA总结了HD表型的频谱和分布,包括异常值和可能的集群,在CAG重复长度、年龄和功能水平的所有疾病涉及领域。它以易于使用的在线格式提供,将通过识别与功能丧失最相关的表型特征,并使与预后相关的对话成为可能,帮助临床医生跟踪PwHD的疾病进展。EHDPA中可观察到的模式也应该催化更正式的运动、认知和精神进展的多域特征及其与功能衰退和疾病调节剂的关系。注册信息:Enroll-HD注册在clinicaltrials.gov: NCT01574053。
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来源期刊
Neurology-Genetics
Neurology-Genetics Medicine-Neurology (clinical)
CiteScore
6.30
自引率
3.20%
发文量
107
审稿时长
15 weeks
期刊介绍: Neurology: Genetics is an online open access journal publishing peer-reviewed reports in the field of neurogenetics. Original articles in all areas of neurogenetics will be published including rare and common genetic variation, genotype-phenotype correlations, outlier phenotypes as a result of mutations in known disease-genes, and genetic variations with a putative link to diseases. This will include studies reporting on genetic disease risk and pharmacogenomics. In addition, Neurology: Genetics will publish results of gene-based clinical trials (viral, ASO, etc.). Genetically engineered model systems are not a primary focus of Neurology: Genetics, but studies using model systems for treatment trials are welcome, including well-powered studies reporting negative results.
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