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Genotype–phenotype correlations in Cornelia de Lange syndrome: Behavioral characteristics and changes with age

Overview of attention for article published in American Journal of Medical Genetics. Part A, April 2017
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Article details
Title
Genotype–phenotype correlations in Cornelia de Lange syndrome: Behavioral characteristics and changes with age
Published in
American Journal of Medical Genetics. Part A, April 2017
DOI 10.1002/ajmg.a.38228
Pubmed ID
Authors
Abstract

Cornelia de Lange syndrome (CdLS) is a multisystem genetic disorder associated with unusual facial features, limb abnormalities, a wide range of health conditions, and intellectual disability. Mutations in five genes that encode (SMC1A, SMC3, RAD21) or regulate (NIPBL, HDAC8) the cohesin complex have been identified in up to 70% of individuals. Genetic cause remains unknown for a proportion of individuals. There is substantial heterogeneity in all aspects of CdLS but very little is known about what predicts phenotypic heterogeneity. In this study, we evaluated genotype-phenotype associations in 34 individuals with CdLS. Participants with NIPBL mutations had significantly lower self help skills and were less likely to have verbal skills relative to those who were negative for the NIPBL mutation. No significant differences were identified between the groups in relation to repetitive behavior, mood, interest and pleasure, challenging behavior, activity, impulsivity, and characteristics of autism spectrum disorder whilst controlling differences in self help skills. Significant correlations indicating lower mood, interest and pleasure, and increased insistence on sameness with older age were identified for those who were NIPBL mutation positive. The findings suggest similarities in the behavioral phenotype between those with and without the NIPBL mutation once differences in self help skills are controlled for. However, there may be subtle differences in the developmental trajectory of these behaviors according to genetic mutation status in CdLS.

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The data shown below were compiled from readership statistics for 43 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 43 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 7 16%
Student > Master 7 16%
Student > Ph. D. Student 6 14%
Other 2 5%
Researcher 2 5%
Other 6 14%
Unknown 13 30%
Readers by discipline
Readers by discipline Count As %
Psychology 9 21%
Biochemistry, Genetics and Molecular Biology 7 16%
Medicine and Dentistry 7 16%
Nursing and Health Professions 2 5%
Neuroscience 2 5%
Other 4 9%
Unknown 12 28%
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 21 April 2017.
All research outputs
#28,747,540
of 34,518,147 outputs
Outputs from American Journal of Medical Genetics. Part A
#3,504
of 4,779 outputs
Outputs of similar age
#284,256
of 355,534 outputs
Outputs of similar age from American Journal of Medical Genetics. Part A
#71
of 117 outputs
Altmetric has tracked 34,518,147 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,779 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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