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Where are the strongest associations between autistic traits and traits of ADHD? evidence from a community-based twin study

Overview of attention for article published in European Child & Adolescent Psychiatry, January 2015
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Article details
Title
Where are the strongest associations between autistic traits and traits of ADHD? evidence from a community-based twin study
Published in
European Child & Adolescent Psychiatry, January 2015
DOI 10.1007/s00787-014-0666-0
Pubmed ID
Authors
Abstract

Autism spectrum conditions (ASC) and attention-deficit/hyperactivity disorder (ADHD) regularly co-occur. Twin studies increasingly indicate that these conditions may have overlapping genetic causes. Less is known about the degree to which specific autistic traits relate to specific behaviours characteristic of ADHD. We hence tested, using the classical twin design, whether specific dimensional autistic traits, including social difficulties, communication atypicalities and repetitive behaviours, would display differential degrees of aetiological overlap with specific traits of ADHD, including hyperactivity/impulsivity and inattention. Parents of approximately 4,000 pairs of 12-year-old twins completed the Childhood Autism Spectrum Test and Conners' Parent Rating Scale. These measures were divided into subscales corresponding to different types of autistic and ADHD behaviours. Twin model fitting suggested that the degree of genetic overlap was particularly strong between communication difficulties and traits of ADHD (genetic correlations = .47-.51), while repetitive behaviours and social difficulties showed moderate (genetic correlations = .12-.33) and modest (.05-.11) genetic overlap respectively. Environmental overlap was low across all subscales (correlations = .01-.23). These patterns were also apparent at the extremes of the general population, with communication difficulties showing the highest genetic overlap with traits of ADHD. These findings indicate that molecular genetic studies seeking to uncover the shared genetic basis of ASC and ADHD would benefit from taking a symptom-specific approach. Furthermore, they could also help to explain why studies of the communication abilities of individuals with ASC and ADHD have produced overlapping findings.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 24 17%
Researcher 21 15%
Student > Master 19 13%
Student > Bachelor 14 10%
Student > Postgraduate 10 7%
Other 20 14%
Unknown 35 24%
Readers by discipline
Readers by discipline Count As %
Psychology 52 36%
Medicine and Dentistry 13 9%
Social Sciences 11 8%
Neuroscience 11 8%
Nursing and Health Professions 5 3%
Other 8 6%
Unknown 43 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 April 2015.
All research outputs
#17,233,988
of 28,257,452 outputs
Outputs from European Child & Adolescent Psychiatry
#1,366
of 2,059 outputs
Outputs of similar age
#203,853
of 369,627 outputs
Outputs of similar age from European Child & Adolescent Psychiatry
#16
of 31 outputs
Altmetric has tracked 28,257,452 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,059 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 369,627 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.