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B3GALNT2 mutations associated with non-syndromic autosomal recessive intellectual disability reveal a lack of genotype–phenotype associations in the muscular dystrophy-dystroglycanopathies

Overview of attention for article published in Genome Medicine, December 2017
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  • Good Attention Score compared to outputs of the same age (70th percentile)

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Title
B3GALNT2 mutations associated with non-syndromic autosomal recessive intellectual disability reveal a lack of genotype–phenotype associations in the muscular dystrophy-dystroglycanopathies
Published in
Genome Medicine, December 2017
DOI 10.1186/s13073-017-0505-2
Pubmed ID
Authors

Reza Maroofian, Moniek Riemersma, Lucas T. Jae, Narges Zhianabed, Marjolein H. Willemsen, Willemijn M. Wissink-Lindhout, Michèl A. Willemsen, Arjan P. M. de Brouwer, Mohammad Yahya Vahidi Mehrjardi, Mahmoud Reza Ashrafi, Benno Kusters, Tjitske Kleefstra, Yalda Jamshidi, Mojila Nasseri, Rolph Pfundt, Thijn R. Brummelkamp, Mohammad Reza Abbaszadegan, Dirk J. Lefeber, Hans van Bokhoven

Abstract

The phenotypic severity of congenital muscular dystrophy-dystroglycanopathy (MDDG) syndromes associated with aberrant glycosylation of α-dystroglycan ranges from the severe Walker-Warburg syndrome or muscle-eye-brain disease to mild, late-onset, isolated limb-girdle muscular dystrophy without neural involvement. However, muscular dystrophy is invariably found across the spectrum of MDDG patients. Using linkage mapping and whole-exome sequencing in two families with an unexplained neurodevelopmental disorder, we have identified homozygous and compound heterozygous mutations in B3GALNT2. The first family comprises two brothers of Dutch non-consanguineous parents presenting with mild ID and behavioral problems. Immunohistochemical analysis of muscle biopsy revealed no significant aberrations, in line with the absence of a muscular phenotype in the affected siblings. The second family includes five affected individuals from an Iranian consanguineous kindred with mild-to-moderate intellectual disability (ID) and epilepsy without any notable neuroimaging, muscle, or eye abnormalities. Complementation assays of the compound heterozygous mutations identified in the two brothers had a comparable effect on the O-glycosylation of α-dystroglycan as previously reported mutations that are associated with severe muscular phenotypes. In conclusion, we show that mutations in B3GALNT2 can give rise to a novel MDDG syndrome presentation, characterized by ID associated variably with seizure, but without any apparent muscular involvement. Importantly, B3GALNT2 activity does not fully correlate with the severity of the phenotype as assessed by the complementation assay.

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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 10 19%
Researcher 8 15%
Student > Ph. D. Student 7 13%
Student > Bachelor 4 8%
Professor 3 6%
Other 4 8%
Unknown 16 31%
Readers by discipline Count As %
Medicine and Dentistry 11 21%
Biochemistry, Genetics and Molecular Biology 8 15%
Psychology 4 8%
Neuroscience 3 6%
Agricultural and Biological Sciences 2 4%
Other 7 13%
Unknown 17 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 02 March 2018.
All research outputs
#6,440,697
of 23,016,919 outputs
Outputs from Genome Medicine
#1,058
of 1,448 outputs
Outputs of similar age
#130,195
of 440,939 outputs
Outputs of similar age from Genome Medicine
#27
of 32 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,448 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 26th percentile – i.e., 26% 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 440,939 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.