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Concordance between Research Sequencing and Clinical Pharmacogenetic Genotyping in the eMERGE-PGx Study

Overview of attention for article published in The Journal of Molecular Diagnostics, May 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 (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Title
Concordance between Research Sequencing and Clinical Pharmacogenetic Genotyping in the eMERGE-PGx Study
Published in
The Journal of Molecular Diagnostics, May 2017
DOI 10.1016/j.jmoldx.2017.04.002
Pubmed ID
Authors

Laura J. Rasmussen-Torvik, Berta Almoguera, Kimberly F. Doheny, Robert R. Freimuth, Adam S. Gordon, Hakon Hakonarson, Jared B. Hawkins, Ammar Husami, Lynn C. Ivacic, Iftikhar J. Kullo, Michael D. Linderman, Teri A. Manolio, Aniwaa Owusu Obeng, Renata Pellegrino, Cynthia A. Prows, Marylyn D. Ritchie, Maureen E. Smith, Sarah C. Stallings, Wendy A. Wolf, Kejian Zhang, Stuart A. Scott

Abstract

There has been extensive debate about both the necessity of orthogonal confirmation of next-generation sequencing (NGS) results in Clinical Laboratory Improvement Amendments-approved laboratories and return of research NGS results to participants enrolled in research studies. In eMERGE-PGx, subjects underwent research NGS using PGRNseq and orthogonal targeted genotyping in clinical laboratories, which prompted a comparison of genotyping results between platforms. Concordance (percentage agreement) was reported for 4077 samples tested across nine combinations of research and clinical laboratories. Retesting was possible on a subset of 1792 samples, and local laboratory directors determined sources of genotype discrepancy. Research NGS and orthogonal clinical genotyping had an overall per sample concordance rate of 0.972 and per variant concordance rate of 0.997. Genotype discrepancies attributed to research NGS were because of sample switching (preanalytical errors), whereas the majority of genotype discrepancies (92.3%) attributed to clinical genotyping were because of allele dropout as a result of rare variants interfering with primer hybridization (analytical errors). These results highlight the analytical quality of clinically significant pharmacogenetic variants derived from NGS and reveal important areas for research and clinical laboratories to address with quality management programs.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Other 12 26%
Researcher 10 21%
Student > Bachelor 5 11%
Student > Master 4 9%
Lecturer 3 6%
Other 7 15%
Unknown 6 13%
Readers by discipline Count As %
Engineering 13 28%
Biochemistry, Genetics and Molecular Biology 8 17%
Medicine and Dentistry 6 13%
Agricultural and Biological Sciences 3 6%
Chemistry 2 4%
Other 6 13%
Unknown 9 19%
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 28 March 2018.
All research outputs
#3,677,810
of 25,728,855 outputs
Outputs from The Journal of Molecular Diagnostics
#280
of 1,316 outputs
Outputs of similar age
#62,784
of 326,385 outputs
Outputs of similar age from The Journal of Molecular Diagnostics
#6
of 13 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,316 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 78% 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 326,385 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 80% of its contemporaries.
We're also able to compare this research output to 13 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 53% of its contemporaries.