↓ Skip to main content

Molecular Diagnosis of Mosaic Overgrowth Syndromes Using a Custom-Designed Next-Generation Sequencing Panel

Overview of attention for article published in The Journal of Molecular Diagnostics, May 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
twitter
5 X users
facebook
1 Facebook page

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
52 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Molecular Diagnosis of Mosaic Overgrowth Syndromes Using a Custom-Designed Next-Generation Sequencing Panel
Published in
The Journal of Molecular Diagnostics, May 2017
DOI 10.1016/j.jmoldx.2017.04.006
Pubmed ID
Authors

Fengqi Chang, Liu Liu, Erica Fang, Guangcheng Zhang, Tiansheng Chen, Kajia Cao, Yanchun Li, Marilyn M. Li

Abstract

Recent studies have discovered a group of overgrowth syndromes, such as congenital lipomatous overgrowth with vascular, epidermal, and skeletal anomalies (CLOVES) syndrome, Proteus syndrome, and megalencephaly-capillary malformation-polymicrogyria (MCAP) syndrome, are caused by somatic activating variants in the genes involved in the phosphatidylinositol 3-kinase/AKT/mechanistic target of rapamycin pathway. Because of the low-abundance nature of these pathogenic variants, Sanger sequencing often yields negative results. We have developed and validated a next-generation sequencing (NGS) panel that targets all known variants associated with these syndromes. Fifty cases, including two prenatal cases, were tested using the NGS panel. A pathogenic variant in the PIK3CA, PIK3R2, or AKT1 gene was identified in 28 of the 50 cases with the variant allele frequencies ranging from 1.0% to 49.2%. These variants were only present in the affected tissues in most of the cases, demonstrating a causal role in the development of these diseases. In vitro cell culture showed significant enrichment of the cells harboring variant alleles, suggesting that these variants render growth advantages to mutant cells. Phenotype-genotype correlation analysis showed PIK3CA mutation hotspots at residues E542, E545, and H1047 are often associated with CLOVES syndrome, whereas PIK3CA G914R is preferentially related to MCAP. We thus demonstrate that NGS technology is highly sensitive for detecting low-level mosaicism and can facilitate clinical diagnosis of mosaic overgrowth syndromes in both prenatal and postnatal settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 10%
Student > Bachelor 5 10%
Researcher 5 10%
Other 4 8%
Student > Ph. D. Student 4 8%
Other 5 10%
Unknown 24 46%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 21%
Medicine and Dentistry 5 10%
Agricultural and Biological Sciences 4 8%
Neuroscience 2 4%
Computer Science 1 2%
Other 2 4%
Unknown 27 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 26 June 2017.
All research outputs
#2,967,216
of 25,382,440 outputs
Outputs from The Journal of Molecular Diagnostics
#241
of 1,306 outputs
Outputs of similar age
#51,818
of 325,438 outputs
Outputs of similar age from The Journal of Molecular Diagnostics
#3
of 13 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,306 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 81% 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 325,438 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 84% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.