Identifying Distinct Tourette Disorder Subtypes using Clinical Data.

ABSTRACT:

Background

Tourette Disorder (TD), or Tourette Syndrome, is a highly heterogeneous childhood-onset neurodevelopmental disorder with a global prevalence of 0.5%. TD's large phenotypic heterogeneity, variable heritability patterns, and frequent but varied comorbidity with other neurodevelopmental disorders indicate that different TD patients might have different etiologies.

Objectives

In this study, we performed unsupervised clustering of clinical data, such as categorical diagnoses and comorbidities, from 865 subjects with TD from the Tourette International Collaborative Genetics (TIC Genetics) study to detect Tourette Disorder subtypes.

Methods

We used two different clustering methods, K-Means and Bayesian Hierarchical Clustering to detect phenotypic subtypes.

Resu

SUBMITTER: Krishnamurthy S 

PROVIDER: S-EPMC12642721 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature