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The genetic overlap of attention deficit hyperactivity disorder and autistic spectrum disorder

Overview of attention for article published in The Application of Clinical Genetics, March 2009
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Title
The genetic overlap of attention deficit hyperactivity disorder and autistic spectrum disorder
Published in
The Application of Clinical Genetics, March 2009
DOI 10.2147/tacg.s4683
Pubmed ID
Authors

Arie J Stam, Patricia F Schothorst, Jacob AS Vorstman, Wouter G Staal

Abstract

Autistic spectrum disorders (ASD) and attention deficit hyperactivity disorder (ADHD) are classified as distinct disorders within the DSM-IV-TR (1994). The manual excludes simultaneous use of both diagnoses in case of overlap on a symptomatic level. However this does not always represent clinical observations and findings of previous studies. This review explores the genetic basis of the phenomenological overlap between ADHD and ASD. Based on an extensive review of twin-, linkage-, association studies, and reported structural genomic abnormalities associated with these disorders, we have identified seventeen regions on the human genome that can be related to both disorders. These regions of shared genetic association are: 2q35, 3p14, 4p16.1, 4p16.3, 5p15.31, 5p15.33, 7p12.3, 7p22, 7q21, 8q24.3, 14q12, 15q11-12, 16p13, 17q11, 18q21-23, 22q11.2, Xp22.3. The presented data are of interest for future genetic studies and appear to suggest the existence of a phenotype partition that may differ from the current classification of psychiatric disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Netherlands 1 3%
Italy 1 3%
Brazil 1 3%
Unknown 30 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Ph. D. Student 6 18%
Student > Master 5 15%
Professor 3 9%
Other 2 6%
Other 4 12%
Unknown 6 18%
Readers by discipline Count As %
Medicine and Dentistry 8 24%
Psychology 6 18%
Neuroscience 4 12%
Agricultural and Biological Sciences 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 5 15%
Unknown 6 18%
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 14 April 2019.
All research outputs
#16,241,772
of 25,748,735 outputs
Outputs from The Application of Clinical Genetics
#1
of 1 outputs
Outputs of similar age
#92,438
of 109,596 outputs
Outputs of similar age from The Application of Clinical Genetics
#1
of 1 outputs
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So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.6. This one scored the same or higher as 0 of them.
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