Web-based phenotyping for Tourette Syndrome: Reliability of common co-morbid diagnoses

Sabrina M. Darrow, Cornelia Illmann, Caitlin Gauvin, Lisa Osiecki, Crystelle A. Egan, Erica Greenberg, Monika Eckfield, Matthew E. Hirschtritt, David L. Pauls, James R. Batterson, Cheston M. Berlin, Irene A. Malaty, Douglas W. Woods, Jeremiah M. Scharf, Carol A. Mathews

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Collecting phenotypic data necessary for genetic analyses of neuropsychiatric disorders is time consuming and costly. Development of web-based phenotype assessments would greatly improve the efficiency and cost-effectiveness of genetic research. However, evaluating the reliability of this approach compared to standard, in-depth clinical interviews is essential. The current study replicates and extends a preliminary report on the utility of a web-based screen for Tourette Syndrome (TS) and common comorbid diagnoses (obsessive compulsive disorder (OCD) and attention deficit/hyperactivity disorder (ADHD)). A subset of individuals who completed a web-based phenotyping assessment for a TS genetic study was invited to participate in semi-structured diagnostic clinical interviews. The data from these interviews were used to determine participants' diagnostic status for TS, OCD, and ADHD using best estimate procedures, which then served as the gold standard to compare diagnoses assigned using web-based screen data. The results show high rates of agreement for TS. Kappas for OCD and ADHD diagnoses were also high and together demonstrate the utility of this self-report data in comparison previous diagnoses from clinicians and dimensional assessment methods.

Original languageEnglish (US)
Pages (from-to)816-825
Number of pages10
JournalPsychiatry Research
Issue number3
StatePublished - Aug 30 2015

All Science Journal Classification (ASJC) codes

  • Psychiatry and Mental health
  • Biological Psychiatry


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