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Detection of Huntington’s disease decades before diagnosis: The Predict HD study

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TLDR
The findings from the Predict-HD study suggest the approximate time scale of measurable disease development, and suggest candidate disease markers for use in preventive HD trials.
Abstract
Objective: The objective of the Predict-HD study is to use genetic, neurobiological and refined clinical markers to understand the early progression of Huntington’s disease (HD), prior to the point of traditional diagnosis, in persons with a known gene mutation. Here we estimate the approximate onset and initial course of various measurable aspects of HD relative to the time of eventual diagnosis. Methods: We studied 438 participants who were positive for the HD gene mutation, but did not yet meet the diagnostic criteria for HD and had no functional decline. Predictability of baseline cognitive, motor, psychiatric and imaging measures was modelled non-linearly using estimated time until diagnosis (based on CAG repeat length and current age) as the predictor. Results: Estimated time to diagnosis was related to most clinical and neuroimaging markers. The patterns of association suggested the commencement of detectable changes one to two decades prior to the predicted time of clinical diagnosis. The patterns were highly robust and consistent, despite the varied types of markers and diverse measurement methodologies. Conclusions: These findings from the Predict-HD study suggest the approximate time scale of measurable disease development, and suggest candidate disease markers for use in preventive HD trials.

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Journal ArticleDOI

Huntington's disease.

TL;DR: Effective intervention by clinicians is possible in terms of providing patients and families with accurate information about the disease, counseling them about availability of genetic testing at specialized centers, and in giving them sound advice regarding work, driving, relationships, finances, research participation, and support groups.
Journal ArticleDOI

Huntington's disease: from molecular pathogenesis to clinical treatment

TL;DR: Predictive genetic testing and findings of neuroimaging studies show that Huntington's disease is emerging as a model for strategies to develop therapeutic interventions, not only to slow progression of manifest disease but also to delay, or ideally prevent, its onset.
Journal ArticleDOI

Huntington's disease: a clinical review

TL;DR: Huntington disease is a rare neurodegenerative disorder of the central nervous system characterized by unwanted choreatic movements, behavioral and psychiatric disturbances and dementia, which results in patients requiring full-time care, and finally death.
Journal ArticleDOI

Molecular Mechanisms and Potential Therapeutical Targets in Huntington's Disease

TL;DR: The data that describe the emergence of the ancient huntingtin gene and of the polyglutamine trait during the last 800 million years of evolution are reviewed and data indicating how the loss of these beneficial activities reduces the ability of these neurons to survive are summarized.
References
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BookDOI

Regression Modeling Strategies

TL;DR: Regression models are frequently used to develop diagnostic, prognostic, and health resource utilization models in clinical, health services, outcomes, pharmacoeconomic, and epidemiologic research, and in a multitude of non-health-related areas.
Journal Article

Unified Huntington's disease rating scale: reliability and consistency

H.P.H. Kremer
- 01 Jan 1996 - 
TL;DR: The limited longitudinal database indicates that the UHDRS may be useful for tracking changes in the clinical features of HD over time and there was an excellent degree of interrater reliability for the motor scores.
Journal ArticleDOI

The Hopkins Verbal Learning Test: Development of a new memory test with six equivalent forms.

TL;DR: The Hopkins Verbal Learning Test as mentioned in this paper is a test of verbal learning and memory that consists of three trials of free-recall of a 12-item, semantically categorized list, followed by yes/no recognition.
Journal ArticleDOI

A new model for prediction of the age of onset and penetrance for Huntington's disease based on CAG length.

TL;DR: A parametric survival model based on CAG repeat length is developed to predict the probability of neurological disease onset (based on motor neurological symptoms rather than psychiatric onset) at different ages for individual patients using the largest cohort of HD patients analyzed to date.
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