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

被引:2
|
作者
Langbehn, Douglas R. [1 ]
Sathe, Swati S. [2 ]
Loy, Clement [3 ]
Sampaio, Cristina [2 ]
Mccusker, Elizabeth A. [4 ]
机构
[1] Univ Iowa, Dept Psychiat, Biostat, Iowa City, IA 52242 USA
[2] CHDI Management CHDI Fdn, Princeton, NJ USA
[3] Macquarie Univ, Macquarie Med Sch, Sydney, Australia
[4] Univ Sydney, Westmead Hosp, Dept Neurol, Huntington Dis Serv, Sydney, Australia
关键词
IDENTIFICATION; PROGRESSION; ONSET;
D O I
10.1212/NXG.0000000000200111
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background and ObjectivesThe 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.MethodsEnroll-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.ResultsData 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/.DiscussionThe 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 InformationEnroll-HD is registered with clinicaltrials.gov: NCT01574053.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Enroll-HD: An Integrated Clinical Research Platform and Worldwide Observational Study for Huntington's Disease
    Sathe, Swati
    Ware, Jen
    Levey, Jamie
    Neacy, Eileen
    Blumenstein, Robi
    Noble, Simon
    Muhlback, Alzbeta
    Rosser, Anne
    Landwehrmeyer, G. Bernhard
    Sampaio, Cristina
    FRONTIERS IN NEUROLOGY, 2021, 12
  • [42] Clinical Characteristics of Late-Onset Huntington's Disease in North Americans from the Enroll-HD Study
    Ma, Xiaoye
    Gandhy, Rita
    Lu, Xiao-Yu
    Slowiejko, Diana
    Frank, Samuel
    NEUROTHERAPEUTICS, 2020, 17 (SUPPL 1) : 6 - 6
  • [43] VMAT 2 Inhibitor and Antipsychotic Use in Individuals with Huntington's Disease Using Enroll-HD Data
    Furr-Stimming, Erin
    Zhu, Liang
    Rocha, Natalia Pessoa
    NEUROTHERAPEUTICS, 2020, 17 (SUPPL 1) : 35 - 35
  • [44] The Risk of Depression in a Large Huntington Disease Population Compared With Controls: Analysis of the Enroll-HD Registry Data
    Reshef, Shoshana
    Smith, Gerald
    Harari, Ofir
    Gordon, Mark
    Ribalov, Rinat
    Lengil, Tamar
    Leo, Sam
    Willock, Rosa
    Zurita, Jose
    Furr-Stimming, Erin
    Sung, Victor
    NEUROLOGY, 2023, 100 (17)
  • [45] ENROLL-HD PLATFORM DATA RESOURCES
    JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 2021, 92 : A40 - A40
  • [46] Enroll-HD Platform Data Resources
    Gilling, Mette
    NEUROTHERAPEUTICS, 2020, 17 (SUPPL 1) : 22 - 23
  • [47] Predictors for Psychosis in Huntington's Disease: Preliminary Analysis of the Enroll-HD Database
    Rocha, Natalia P.
    Furr-Stimming, Erin
    Teixeira, Antonio L.
    NEUROTHERAPEUTICS, 2018, 15 (01) : 261 - 261
  • [48] Clinical Characteristics of Late-Onset Huntington's Disease in North Americans from the Enroll-HD Study
    Ma, Xiaoye
    Gandhy, Rita
    Lu, Xiao-Yu
    Slowiejko, Diana
    Frank, Samuel
    NEUROLOGY, 2021, 96 (15)
  • [49] INFLUENCE OF THE HUNTINGTON DISEASE MUTATION ON THE PREVALENCE OF AUTOIMMUNE DISEASE AND THEIR ASSOCIATON TO DISEASE PROGRESSION - AN ANALYSIS OF THE EUROPEAN ENROLL-HD DATA
    Heyd, Moritz
    Frank, Wiebke
    Rapp, Daniel
    Lindenberg, Katrin S.
    Landwehrmeyer, G. Bernhard
    Lewerenz, Jan
    JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 2022, 93 : A42 - A43
  • [50] Predictors for psychosis in Huntington's disease: preliminary analysis of the Enroll-HD database.
    Rocha, N.
    Furr-Stimming, E.
    Teixeira, A.
    MOVEMENT DISORDERS, 2017, 32