Multivariate clustering of progression profiles reveals different depression patterns in prodromal Huntington disease.

ABSTRACT:

Objective

Although Huntington disease (HD) is caused by an autosomal dominant mutation, its phenotypic presentation differs widely. Variability in clinical phenotypes of HD may reflect the existence of disease subtypes. This hypothesis was tested in prodromal participants from the longitudinal Neurobiological Predictors of Huntington Disease (PREDICT-HD) study.

Method

We performed clustering using longitudinal data assessing motor, cognitive, and depression symptoms. Using data from 521 participants with 2,716 data points, we fit growth mixture models (GMM) that identify groups based on multivariate trajectories.

Results

In various GMM, different phases of disease progression were partitioned by progression trajectories of motor and cognitive signs, and by overall lev

SUBMITTER: Kim JI 

PROVIDER: S-EPMC4640959 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature