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Whole-exome sequencing is a powerful approach for establishing the etiological diagnosis in patients with intellectual disability and microcephaly

Overview of attention for article published in BMC Medical Genomics, February 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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1 policy source
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7 X users
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1 Facebook page

Citations

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73 Dimensions

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101 Mendeley
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Title
Whole-exome sequencing is a powerful approach for establishing the etiological diagnosis in patients with intellectual disability and microcephaly
Published in
BMC Medical Genomics, February 2016
DOI 10.1186/s12920-016-0167-8
Pubmed ID
Authors

Patrick Rump, Omid Jazayeri, Krista K. van Dijk-Bos, Lennart F. Johansson, Anthonie J. van Essen, Johanna B. G. M. Verheij, Hermine E. Veenstra-Knol, Egbert J. W. Redeker, Marcel M. A. M. Mannens, Morris A. Swertz, Behrooz Z. Alizadeh, Conny M. A. van Ravenswaaij-Arts, Richard J. Sinke, Birgit Sikkema-Raddatz

Abstract

Clinical and genetic heterogeneity in monogenetic disorders represents a major diagnostic challenge. Although the presence of particular clinical features may aid in identifying a specific cause in some cases, the majority of patients remain undiagnosed. Here, we investigated the utility of whole-exome sequencing as a diagnostic approach for establishing a molecular diagnosis in a highly heterogeneous group of patients with varied intellectual disability and microcephaly. Whole-exome sequencing was performed in 38 patients, including three sib-pairs, in addition to or in parallel with genetic analyses that were performed during the diagnostic work-up of the study participants. In ten out of these 35 families (29 %), we found mutations in genes already known to be related to a disorder in which microcephaly is a main feature. Two unrelated patients had mutations in the ASPM gene. In seven other patients we found mutations in RAB3GAP1, RNASEH2B, KIF11, ERCC8, CASK, DYRK1A and BRCA2. In one of the sib-pairs, mutations were found in the RTTN gene. Mutations were present in seven out of our ten families with an established etiological diagnosis with recessive inheritance. We demonstrate that whole-exome sequencing is a powerful tool for the diagnostic evaluation of patients with highly heterogeneous neurodevelopmental disorders such as intellectual disability with microcephaly. Our results confirm that autosomal recessive disorders are highly prevalent among patients with microcephaly.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 100 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 18%
Student > Master 13 13%
Student > Bachelor 13 13%
Researcher 12 12%
Student > Doctoral Student 10 10%
Other 17 17%
Unknown 18 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 32%
Medicine and Dentistry 28 28%
Agricultural and Biological Sciences 8 8%
Neuroscience 3 3%
Psychology 2 2%
Other 5 5%
Unknown 23 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 October 2019.
All research outputs
#4,960,719
of 24,744,050 outputs
Outputs from BMC Medical Genomics
#223
of 1,349 outputs
Outputs of similar age
#83,022
of 407,495 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 22 outputs
Altmetric has tracked 24,744,050 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,349 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 83% 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 407,495 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 79% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.