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Phenotypic and molecular characterisation of CDK13-related congenital heart defects, dysmorphic facial features and intellectual developmental disorders

Overview of attention for article published in Genome Medicine, August 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Average Attention Score compared to outputs of the same age and source

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4 Wikipedia pages

Citations

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66 Mendeley
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Title
Phenotypic and molecular characterisation of CDK13-related congenital heart defects, dysmorphic facial features and intellectual developmental disorders
Published in
Genome Medicine, August 2017
DOI 10.1186/s13073-017-0463-8
Pubmed ID
Authors

Bret L. Bostwick, Scott McLean, Jennifer E. Posey, Haley E. Streff, Karen W. Gripp, Alyssa Blesson, Nina Powell-Hamilton, Jessica Tusi, David A. Stevenson, Ellyn Farrelly, Louanne Hudgins, Yaping Yang, Fan Xia, Xia Wang, Pengfei Liu, Magdalena Walkiewicz, Marianne McGuire, Dorothy K. Grange, Marisa V. Andrews, Marybeth Hummel, Suneeta Madan-Khetarpal, Elena Infante, Zeynep Coban-Akdemir, Karol Miszalski-Jamka, John L. Jefferies, Members of the Undiagnosed Diseases Network, Jill A. Rosenfeld, Lisa Emrick, Kimberly M. Nugent, James R. Lupski, John W. Belmont, Brendan Lee, Seema R. Lalani

Abstract

De novo missense variants in CDK13 have been described as the cause of syndromic congenital heart defects in seven individuals ascertained from a large congenital cardiovascular malformations cohort. We aimed to further define the phenotypic and molecular spectrum of this newly described disorder. To minimise ascertainment bias, we recruited nine additional individuals with CDK13 pathogenic variants from clinical and research exome laboratory sequencing cohorts. Each individual underwent dysmorphology exam and comprehensive medical history review. We demonstrate greater than expected phenotypic heterogeneity, including 33% (3/9) of individuals without structural heart disease on echocardiogram. There was a high penetrance for a unique constellation of facial dysmorphism and global developmental delay, as well as less frequently seen renal and sacral anomalies. Two individuals had novel CDK13 variants (p.Asn842Asp, p.Lys734Glu), while the remaining seven unrelated individuals had a recurrent, previously published p.Asn842Ser variant. Summary of all variants published to date demonstrates apparent restriction of pathogenic variants to the protein kinase domain with clustering in the ATP and magnesium binding sites. Here we provide detailed phenotypic and molecular characterisation of individuals with pathogenic variants in CDK13 and propose management guidelines based upon the estimated prevalence of anomalies identified.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Researcher 10 15%
Student > Master 7 11%
Other 5 8%
Student > Bachelor 4 6%
Other 12 18%
Unknown 17 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 30%
Medicine and Dentistry 12 18%
Agricultural and Biological Sciences 8 12%
Nursing and Health Professions 2 3%
Immunology and Microbiology 2 3%
Other 2 3%
Unknown 20 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 July 2022.
All research outputs
#3,374,898
of 24,598,501 outputs
Outputs from Genome Medicine
#737
of 1,517 outputs
Outputs of similar age
#59,395
of 322,039 outputs
Outputs of similar age from Genome Medicine
#17
of 25 outputs
Altmetric has tracked 24,598,501 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 322,039 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.