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Mutations in DVL1 Cause an Osteosclerotic Form of Robinow Syndrome

Overview of attention for article published in American Journal of Human Genetics, March 2015
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Article details
Title
Mutations in DVL1 Cause an Osteosclerotic Form of Robinow Syndrome
Published in
American Journal of Human Genetics, March 2015
DOI 10.1016/j.ajhg.2015.02.010
Pubmed ID
Authors
Abstract

Robinow syndrome (RS) is a phenotypically and genetically heterogeneous condition that can be caused by mutations in genes encoding components of the non-canonical Wnt signaling pathway. In contrast, germline mutations that act to increase canonical Wnt signaling lead to distinctive osteosclerotic phenotypes. Here, we identified de novo frameshift mutations in DVL1, a mediator of both canonical and non-canonical Wnt signaling, as the cause of RS-OS, an RS subtype involving osteosclerosis, in three unrelated individuals. The mutations all delete the DVL1 C terminus and replace it, in each instance, with a novel, highly basic sequence. We showed the presence of mutant transcript in fibroblasts from one individual with RS-OS and demonstrated unimpaired protein stability with transfected GFP-tagged constructs bearing a frameshift mutation. In vitro TOPFlash assays, in apparent contradiction to the osteosclerotic phenotype, revealed that the mutant allele was less active than the wild-type allele in the canonical Wnt signaling pathway. However, when the mutant and wild-type alleles were co-expressed, canonical Wnt activity was 2-fold higher than that in the wild-type construct alone. This work establishes that DVL1 mutations cause a specific RS subtype, RS-OS, and that the osteosclerosis associated with this subtype might be the result of an interaction between the wild-type and mutant alleles and thus lead to elevated canonical Wnt signaling.

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Mendeley demographics

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The data shown below were compiled from readership statistics for 59 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 %
United States 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 7 12%
Student > Doctoral Student 6 10%
Student > Master 5 8%
Student > Postgraduate 5 8%
Other 7 12%
Unknown 18 31%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 17 29%
Biochemistry, Genetics and Molecular Biology 13 22%
Agricultural and Biological Sciences 7 12%
Linguistics 1 2%
Immunology and Microbiology 1 2%
Other 4 7%
Unknown 16 27%
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 16 April 2015.
All research outputs
#24,756,754
of 34,363,559 outputs
Outputs from American Journal of Human Genetics
#7,306
of 7,792 outputs
Outputs of similar age
#207,503
of 305,984 outputs
Outputs of similar age from American Journal of Human Genetics
#52
of 55 outputs
Altmetric has tracked 34,363,559 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,792 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.7. This one is in the 4th percentile – i.e., 4% of its peers scored the same or lower than it.
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We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.