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Genetic analysis of very obese children with autism spectrum disorder

Overview of attention for article published in Molecular Genetics and Genomics, January 2018
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Title
Genetic analysis of very obese children with autism spectrum disorder
Published in
Molecular Genetics and Genomics, January 2018
DOI 10.1007/s00438-018-1418-5
Pubmed ID
Authors

Herman D. Cortes, Rachel Wevrick

Abstract

Autism spectrum disorder (ASD) is defined by the triad of deficits in social interactions, deficits in communication, and repetitive behaviors. Common co-morbidities in syndromic forms of ASD include intellectual disability, seizures, and obesity. We asked whether very obese children with ASD had different behavioral, physical and genetic characteristics compared to children with ASD who were not obese. We found that very obese children with ASD had significantly poorer scores on standardized behavioral tests. Very obese boys with ASD had lower full scale IQ and increased impairments with respect to stereotypies, communication and social skills. Very obese girls with ASD had increased impairments with respect to irritability and oppositional defiant behavior. We identified genetic lesions in a subset of the children with ASD and obesity and attempted to identify enriched biological pathways. Our study demonstrates the value of identifying co-morbidities in children with ASD as we move forward towards understanding the biological processes that contribute to this complex disorder and prepare to design customized treatments that target the diverse genetic lesions present in individuals with ASD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 8 10%
Researcher 8 10%
Student > Bachelor 8 10%
Student > Doctoral Student 7 9%
Student > Ph. D. Student 6 8%
Other 12 15%
Unknown 29 37%
Readers by discipline Count As %
Psychology 9 12%
Unspecified 8 10%
Agricultural and Biological Sciences 6 8%
Medicine and Dentistry 6 8%
Neuroscience 5 6%
Other 14 18%
Unknown 30 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 September 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Molecular Genetics and Genomics
#2,976
of 3,321 outputs
Outputs of similar age
#344,753
of 450,898 outputs
Outputs of similar age from Molecular Genetics and Genomics
#13
of 24 outputs
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