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Improved genetic testing for monogenic diabetes using targeted next-generation sequencing

Overview of attention for article published in Diabetologia, June 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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6 X users

Citations

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245 Dimensions

Readers on

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182 Mendeley
Title
Improved genetic testing for monogenic diabetes using targeted next-generation sequencing
Published in
Diabetologia, June 2013
DOI 10.1007/s00125-013-2962-5
Pubmed ID
Authors

S. Ellard, H. Lango Allen, E. De Franco, S. E. Flanagan, G. Hysenaj, K. Colclough, J. A. L. Houghton, M. Shepherd, A. T. Hattersley, M. N. Weedon, R. Caswell

Abstract

Current genetic tests for diagnosing monogenic diabetes rely on selection of the appropriate gene for analysis according to the patient's phenotype. Next-generation sequencing enables the simultaneous analysis of multiple genes in a single test. Our aim was to develop a targeted next-generation sequencing assay to detect mutations in all known MODY and neonatal diabetes genes. We selected 29 genes in which mutations have been reported to cause neonatal diabetes, MODY, maternally inherited diabetes and deafness (MIDD) or familial partial lipodystrophy (FPLD). An exon-capture assay was designed to include coding regions and splice sites. A total of 114 patient samples were tested--32 with known mutations and 82 previously tested for MODY (n = 33) or neonatal diabetes (n = 49) but in whom a mutation had not been found. Sequence data were analysed for the presence of base substitutions, small insertions or deletions (indels) and exonic deletions or duplications. In the 32 positive controls we detected all previously identified variants (34 mutations and 36 polymorphisms), including 55 base substitutions, ten small insertions or deletions and five partial/whole gene deletions/duplications. Previously unidentified mutations were found in five patients with MODY (15%) and nine with neonatal diabetes (18%). Most of these patients (12/14) had mutations in genes that had not previously been tested. Our novel targeted next-generation sequencing assay provides a highly sensitive method for simultaneous analysis of all monogenic diabetes genes. This single test can detect mutations previously identified by Sanger sequencing or multiplex ligation-dependent probe amplification dosage analysis. The increased number of genes tested led to a higher mutation detection rate.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Chile 1 <1%
Italy 1 <1%
Brazil 1 <1%
Romania 1 <1%
Unknown 177 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 18%
Student > Ph. D. Student 30 16%
Student > Master 25 14%
Student > Bachelor 17 9%
Student > Doctoral Student 12 7%
Other 27 15%
Unknown 38 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 47 26%
Medicine and Dentistry 43 24%
Agricultural and Biological Sciences 26 14%
Nursing and Health Professions 4 2%
Engineering 4 2%
Other 16 9%
Unknown 42 23%
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 09 December 2015.
All research outputs
#7,409,480
of 26,017,215 outputs
Outputs from Diabetologia
#3,013
of 5,621 outputs
Outputs of similar age
#59,758
of 213,445 outputs
Outputs of similar age from Diabetologia
#20
of 50 outputs
Altmetric has tracked 26,017,215 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 5,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.1. This one is in the 46th percentile – i.e., 46% 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 213,445 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 71% of its contemporaries.
We're also able to compare this research output to 50 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 60% of its contemporaries.