Psychological Medicine

Original Articles

Separation of genetic influences on attention deficit hyperactivity disorder symptoms and reaction time performance from those on IQ

A. C. Wooda1 c1, P. Ashersona1, J. J. van der Meerea2 and J. Kuntsia1

a1 MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, UK

a2 Department of Developmental and Experimental Clinical Psychology, University of Groningen, The Netherlands

Abstract

Background Attention deficit hyperactivity disorder (ADHD) shows a strong phenotypic and genetic association with reaction time (RT) variability, considered to reflect lapses in attention. Yet we know little about whether this aetiological pathway is shared with other affected cognitive processes in ADHD, such as lower IQs or the generally slower responses (mean RTs). We aimed to address the question of whether a shared set of genes exist that influence RT variability, mean RT, IQ and ADHD symptom scores, or whether there is evidence of separate aetiological pathways.

Method Multivariate structural equation modelling on cognitive tasks data (providing RT data), IQ and ADHD ratings by parents and teachers collected on general population sample of 1314 twins, at ages 7–10 years.

Results Multivariate structural equation models indicated that the shared genetic influences underlying both ADHD symptom scores and RT variability are also shared with those underlying mean RT, with both types of RT data largely indexing the same underlying liability. By contrast, the shared genetic influences on ADHD symptom scores and RT variability (or mean RT) are largely independent of the genetic influences that ADHD symptom scores share with IQ.

Conclusions The finding of unique aetiological pathways between IQ and RT data, but shared components between mean RT, RT variability and ADHD symptom scores, illustrates key influences in the genetic architecture of the cognitive and energetic processes that underlie the behavioural symptoms of ADHD. In addition, the multivariate genetic model fitting findings provide valuable information for future molecular genetic analyses.

(Received April 08 2009)

(Revised July 22 2009)

(Accepted July 25 2009)

(Online publication September 15 2009)

Correspondence

c1 Address for correspondence: Miss A. C. Wood, MRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, UK. (Email: Lekki.Wood@Gmail.com)

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