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Whole exome sequencing and DNA methylation analysis in a clinical amyotrophic lateral sclerosis cohort

Overview of attention for article published in Molecular Genetics & Genomic Medicine, June 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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1 news outlet
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3 X users

Citations

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13 Dimensions

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53 Mendeley
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Title
Whole exome sequencing and DNA methylation analysis in a clinical amyotrophic lateral sclerosis cohort
Published in
Molecular Genetics & Genomic Medicine, June 2017
DOI 10.1002/mgg3.302
Pubmed ID
Authors

Fleur C. Garton, Beben Benyamin, Qiongyi Zhao, Zhijun Liu, Jacob Gratten, Anjali K. Henders, Zong‐Hong Zhang, Janette Edson, Sarah Furlong, Sarah Morgan, Susan Heggie, Kathryn Thorpe, Casey Pfluger, Karen A. Mather, Perminder S. Sachdev, Allan F. McRae, Matthew R. Robinson, Sonia Shah, Peter M. Visscher, Marie Mangelsdorf, Robert D. Henderson, Naomi R. Wray, Pamela A. McCombe

Abstract

Gene discovery has provided remarkable biological insights into amyotrophic lateral sclerosis (ALS). One challenge for clinical application of genetic testing is critical evaluation of the significance of reported variants. We use whole exome sequencing (WES) to develop a clinically relevant approach to identify a subset of ALS patients harboring likely pathogenic mutations. In parallel, we assess if DNA methylation can be used to screen for pathogenicity of novel variants since a methylation signature has been shown to associate with the pathogenic C9orf72 expansion, but has not been explored for other ALS mutations. Australian patients identified with ALS-relevant variants were cross-checked with population databases and case reports to critically assess whether they were "likely causal," "uncertain significance," or "unlikely causal." Published ALS variants were identified in >10% of patients; however, in only 3% of patients (4/120) could these be confidently considered pathogenic (in SOD1 and TARDBP). We found no evidence for a differential DNA methylation signature in these mutation carriers. The use of WES in a typical ALS clinic demonstrates a critical approach to variant assessment with the capability to combine cohorts to enhance the largely unknown genetic basis of ALS.

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X Demographics

The data shown below were collected from the profiles of 3 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 26%
Researcher 7 13%
Student > Master 6 11%
Student > Doctoral Student 4 8%
Other 3 6%
Other 9 17%
Unknown 10 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 23%
Neuroscience 11 21%
Agricultural and Biological Sciences 10 19%
Medicine and Dentistry 6 11%
Mathematics 1 2%
Other 0 0%
Unknown 13 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 18 September 2017.
All research outputs
#3,416,577
of 25,382,440 outputs
Outputs from Molecular Genetics & Genomic Medicine
#92
of 1,104 outputs
Outputs of similar age
#60,059
of 331,880 outputs
Outputs of similar age from Molecular Genetics & Genomic Medicine
#2
of 16 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,104 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 91% 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 331,880 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 81% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.