A new model for prediction of the age of onset and penetrance for Huntington's disease based on CAG length
University of Iowa · University of British Columbia · +5 more institutions
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…
Citation impact
- FWCI
- 6.58
- Percentile
- 100%
- References
- 40
Authors
6- DRDouglas R. Langbehn
University of Iowa
- RRRyan R. Brinkman
University of British Columbia
- DFDaniel Falush
Oxford Research Group, University of Oxford, Mathematical Institute of the Slovak Academy of Sciences, Max Planck Institute for the History of Science
- JSJane S. Paulsen
University of Iowa
- MRMichael R. HaydenCorresponding
Topics & keywords
- Penetrance
- Age of onset
- Cohort
- Trinucleotide repeat expansion
- Confidence interval
- Disease
- Huntington's disease
- Medicine