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Related Concept Videos

Attention-Deficit/Hyperactivity Disorder01:30

Attention-Deficit/Hyperactivity Disorder

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
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Related Experiment Video

Updated: May 16, 2026

Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos
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Phenotype refinement for comorbid attention deficit hyperactivity disorder and reading disability.

Abdullah R Sheikhi1, Neilson Martin, David Hay

  • 1School of Psychology & Speech Pathology, Curtin Health Innovation Research Institute, Curtin University, Western Australia, Australia.

American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics
|December 1, 2012
PubMed
Summary

Latent class analysis successfully identified distinct subtypes of Attention Deficit Hyperactivity Disorder (ADHD) and reading disability (RD), including their comorbidity. These refined ADHD-RD phenotypes may aid in discovering susceptibility genes.

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Area of Science:

  • Behavioral Genetics
  • Psychiatric Genetics
  • Developmental Psychology

Background:

  • Comorbidity between Attention Deficit Hyperactivity Disorder (ADHD) and reading disability (RD) is frequent but poorly understood.
  • Phenotypic heterogeneity of ADHD and RD complicates genetic studies of their comorbidity.
  • Current diagnostic systems may not adequately capture the complexity of ADHD-RD phenotypes for genetic research.

Purpose of the Study:

  • To refine Attention Deficit Hyperactivity Disorder (ADHD) and reading disability (RD) phenotypes into homogenous subtypes using Latent Class Analysis (LCA).
  • To identify genetically distinct classes of ADHD, RD, and their comorbidity.
  • To explore the utility of refined phenotypes in future molecular genetic studies of ADHD-RD susceptibility.

Main Methods:

  • Latent Class Analysis (LCA) was applied to a large Australian twin sample (2,610 families, 6,535 individuals).
  • Phenotypes for ADHD and RD symptoms were analyzed to generate probabilistic, genetically distinct classes.
  • Symptom clusters were used to define subtypes of ADHD, RD, and comorbid ADHD-RD.

Main Results:

  • Latent Class Analysis identified nine distinct classes from ADHD and RD phenotypes.
  • These classes included unaffected individuals, three DSM-IV ADHD subtypes, three RD severity subtypes, and two ADHD-RD comorbidity subtypes.
  • LCA effectively classified homogenous groups based on symptom clusters, demonstrating its utility in refining ADHD-RD phenotypes.

Conclusions:

  • Latent Class Analysis is effective in refining ADHD, RD, and comorbid ADHD-RD phenotypes.
  • The identified latent classes represent homogenous subtypes suitable for molecular genetic investigations.
  • This approach may enhance the discovery of susceptibility genes for ADHD-RD comorbidity.