title: Exploring the relationship between autism spectrum disorder and epilepsy using latent class cluster analysis.
abstract: Epilepsy co-occurs frequently in autism spectrum disorders (ASD). Understanding this co-occurrence requires a better understanding of the ASD-epilepsy phenotype (or phenotypes). To address this, we conducted latent class cluster analysis (LCCA) on an ASD dataset (N = 577) which included 64 individuals with epilepsy. We identified a 5-cluster solution with one cluster showing a high rate of epilepsy (29%), earlier age at first recognition, and high rates of repetitive object use and unusual sensory interests. We also conducted LCCA on an ASD-epilepsy subset from the overall dataset (N = 64) which yielded three clusters, the largest of which had impairments in language and motor development; the remaining clusters, while not as developmentally impaired were characterized by different levels of repetitive and sensory behaviors.
authors: Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL 33136, USA. mcuccaro@med.miami.edu
authors: Michael L
authors: ML
authors: Cuccaro
authors: Roberto F
authors: RF
authors: Tuchman
authors: Kara L
authors: KL
authors: Hamilton
authors: Harry H
authors: HH
authors: Wright
authors: Ruth K
authors: RK
authors: Abramson
authors: Jonathan L
authors: JL
authors: Haines
authors: John R
authors: JR
authors: Gilbert
authors: Margaret
authors: M
authors: Pericak-Vance
mesh_terms: D000293:Adolescent; D002648:Child; D002659:Child Development Disorders, Pervasive / Q000150:complications* / Q000175:diagnosis; D002675:Child, Preschool; D016000:Cluster Analysis; D004827:Epilepsy / Q000150:complications* / Q000175:diagnosis; D005260:Female; D006801:Humans; D008297:Male; D010641:Phenotype