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Published on: June 9, 2018
A Phenotypic Atlas for Huntington Disease Based on Data From the Enroll-HD Cohort Study
Douglas R Langbehn1, Swati S Sathe1, Clement Loy1
1From the Departments of Psychiatry (D.R.L.), Biostatistics, University of Iowa, Iowa City; CHDI Management/CHDI Foundation (S.S.S., C.S.), Princeton, NJ; Macquarie Medical School (C.L.), Macquarie University; and Department of Neurology (Huntington disease Service) (E.A.M.), Westmead Hospital, University of Sydney, Australia.
The Enroll-HD Phenotype Atlas (EHDPA) maps Huntington disease (HD) phenotypes across CAG repeat lengths and ages. This resource aids clinicians in understanding disease progression and prognosis for individuals with HD.
Area of Science:
- Genetics
- Neurology
- Clinical Research
Background:
- Huntington disease (HD) is characterized by CAG repeat expansion in the huntingtin gene, influencing motor dysfunction onset.
- The broader phenotype of HD, including non-motor features, across varying CAG lengths, ages, and functional statuses, requires further characterization.
Purpose of the Study:
- To develop a comprehensive phenotype atlas for Huntington disease using data from the Enroll-HD observational study.
- To summarize the range, distribution, outliers, and clusters of HD phenotypes across different CAG repeat lengths, age groups, and functional levels.
Main Methods:
- Utilized data from the Enroll-HD prospective longitudinal observational study, including 42,840 visits from 15,982 individuals with HD.
- Analyzed routine motor, cognitive, psychiatric, and functional measures, creating 223 age-by-CAG subsets for CAG repeat lengths 36-69 and 5-year age brackets.
- Developed the Enroll-HD Phenotype Atlas (EHDPA) based on data collected through October 31, 2020.
Main Results:
- The EHDPA provides a detailed summary of HD phenotypes across all disease domains.
- It includes data for CAG repeat lengths from 36 to 69 and age brackets from 20-24 to 85-89 years.
- The atlas is accessible online for researchers and clinicians.
Conclusions:
- The EHDPA offers a valuable tool for tracking HD progression and understanding phenotypic features associated with functional decline.
- It facilitates discussions on prognosis and may stimulate further research into multidomain characterization of HD progression and disease modifiers.
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