↓ Skip to main content

Diagnosis of ALG12-CDG by exome sequencing in a case of severe skeletal dysplasia

Overview of attention for article published in Molecular Genetics and Metabolism Reports, May 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
29 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
Diagnosis of ALG12-CDG by exome sequencing in a case of severe skeletal dysplasia
Published in
Molecular Genetics and Metabolism Reports, May 2014
DOI 10.1016/j.ymgmr.2014.04.004
Pubmed ID
Authors

Chaya Murali, James T. Lu, Mahim Jain, David S. Liu, Ralph Lachman, Richard A. Gibbs, Brendan H. Lee, Daniel Cohn, Philippe M. Campeau

Abstract

Congenital Disorder of Glycosylation type Ig (ALG12-CDG) is part of a group of autosomal recessive conditions caused by deficiency of proteins involved in the assembly of dolichol-oligosaccharides used for protein N-glycosylation. In ALG12-CDG, the enzyme affected is encoded by the ALG12 gene. Affected individuals present clinically with neurodevelopmental delay, growth retardation, immune deficiency, male genital hypoplasia, and cardiomyopathy. A total of six individuals have been reported in the literature. Here, we present an infant with rhizomelic short stature, talipes equinovarus, platyspondyly, and joint dislocations. The infant had marked underossification of the pubic bones. Exome sequencing was performed and two deletions, each resulting in frameshifts, were found in ALG12. A review of the literature revealed two infants with ALG12-CDG and a severe skeletal dysplasia, including under-ossification of cervical vertebrae, pubic bones, and knees; in addition to talipes equinovarus and rhizomelic short stature. The phenotype of the individual we describe resembles pseudodiastrophic dysplasia and we discuss similarities and differences between ALG12-CDG and pseudodiastrophic dysplasia. The differential diagnosis in selected undiagnosed skeletal dysplasias should include CDGs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 14%
Student > Master 4 14%
Researcher 4 14%
Student > Bachelor 3 10%
Student > Ph. D. Student 3 10%
Other 5 17%
Unknown 6 21%
Readers by discipline Count As %
Medicine and Dentistry 7 24%
Agricultural and Biological Sciences 3 10%
Biochemistry, Genetics and Molecular Biology 3 10%
Nursing and Health Professions 2 7%
Immunology and Microbiology 2 7%
Other 4 14%
Unknown 8 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 May 2014.
All research outputs
#16,578,616
of 25,371,288 outputs
Outputs from Molecular Genetics and Metabolism Reports
#231
of 460 outputs
Outputs of similar age
#138,023
of 241,766 outputs
Outputs of similar age from Molecular Genetics and Metabolism Reports
#3
of 7 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 460 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 241,766 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.