Logo image
Back
A new model for prediction of the age of onset and penetrance for Huntington's disease based on CAG length
Journal article   Peer reviewed

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

D R Langbehn, R R Brinkman, D Falush, J S Paulsen, M R Hayden and International Huntington's Disease Collaborative Group
Clinical genetics, Vol.65(4), pp.267-277
04/2004
DOI: 10.1111/j.1399-0004.2004.00241.x
PMID: 15025718

View Online

Related content

Was corrected by

Abstract

Huntington's disease (HD) is a neurodegenerative disorder caused by an unstable CAG repeat. For patients at risk, participating in predictive testing and learning of having CAG expansion, a major unanswered question shifts from "Will I get HD?" to "When will it manifest?" Using the largest cohort of HD patients analyzed to date (2913 individuals from 40 centers worldwide), we developed a parametric survival model based on CAG repeat length to predict the probability of neurological disease onset (based on motor neurological symptoms rather than psychiatric onset) at different ages for individual patients. We provide estimated probabilities of onset associated with CAG repeats between 36 and 56 for individuals of any age with narrow confidence intervals. For example, our model predicts a 91% chance that a 40-year-old individual with 42 repeats will have onset by the age of 65, with a 95% confidence interval from 90 to 93%. This model also defines the variability in HD onset that is not attributable to CAG length and provides information concerning CAG-related penetrance rates.
 Trinucleotide Repeats Predictive Value of Tests Likelihood Functions DNA Sequence, Unstable Humans Age of Onset Huntington Disease - genetics Logistic Models Penetrance Models, Genetic

Details

Metrics

39 Record Views
656 Times Cited - Web of Science
Logo image