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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Validation of a Next-Generation Sequencing Assay for Clinical Molecular Oncology
|
|---|---|
| Published in |
The Journal of Molecular Diagnostics, November 2013
|
| DOI | 10.1016/j.jmoldx.2013.10.002 |
| Pubmed ID | |
| Authors |
Catherine E. Cottrell, Hussam Al-Kateb, Andrew J. Bredemeyer, Eric J. Duncavage, David H. Spencer, Haley J. Abel, Christina M. Lockwood, Ian S. Hagemann, Stephanie M. O’Guin, Lauren C. Burcea, Christopher S. Sawyer, Dayna M. Oschwald, Jennifer L. Stratman, Dorie A. Sher, Mark R. Johnson, Justin T. Brown, Paul F. Cliften, Bijoy George, Leslie D. McIntosh, Savita Shrivastava, TuDung T. Nguyen, Jacqueline E. Payton, Mark A. Watson, Seth D. Crosby, Richard D. Head, Robi D. Mitra, Rakesh Nagarajan, Shashikant Kulkarni, Karen Seibert, Herbert W. Virgin, Jeffrey Milbrandt, John D. Pfeifer |
| Abstract |
Currently, oncology testing includes molecular studies and cytogenetic analysis to detect genetic aberrations of clinical significance. Next-generation sequencing (NGS) allows rapid analysis of multiple genes for clinically actionable somatic variants. The WUCaMP assay uses targeted capture for NGS analysis of 25 cancer-associated genes to detect mutations at actionable loci. We present clinical validation of the assay and a detailed framework for design and validation of similar clinical assays. Deep sequencing of 78 tumor specimens (≥ 1000× average unique coverage across the capture region) achieved high sensitivity for detecting somatic variants at low allele fraction (AF). Validation revealed sensitivities and specificities of 100% for detection of single-nucleotide variants (SNVs) within coding regions, compared with SNP array sequence data (95% CI = 83.4-100.0 for sensitivity and 94.2-100.0 for specificity) or whole-genome sequencing (95% CI = 89.1-100.0 for sensitivity and 99.9-100.0 for specificity) of HapMap samples. Sensitivity for detecting variants at an observed 10% AF was 100% (95% CI = 93.2-100.0) in HapMap mixes. Analysis of 15 masked specimens harboring clinically reported variants yielded concordant calls for 13/13 variants at AF of ≥ 15%. The WUCaMP assay is a robust and sensitive method to detect somatic variants of clinical significance in molecular oncology laboratories, with reduced time and cost of genetic analysis allowing for strategic patient management. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 67% |
| India | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 254 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| United Kingdom | 3 | 1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Spain | 1 | <1% |
| Nigeria | 1 | <1% |
| Unknown | 243 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 73 | 29% |
| Student > Ph. D. Student | 27 | 11% |
| Other | 23 | 9% |
| Student > Bachelor | 22 | 9% |
| Student > Master | 22 | 9% |
| Other | 46 | 18% |
| Unknown | 41 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 30% |
| Biochemistry, Genetics and Molecular Biology | 57 | 22% |
| Medicine and Dentistry | 48 | 19% |
| Computer Science | 6 | 2% |
| Engineering | 6 | 2% |
| Other | 16 | 6% |
| Unknown | 44 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 16 May 2023.
All research outputs
#2,487,782
of 25,394,764 outputs
Outputs from The Journal of Molecular Diagnostics
#205
of 1,306 outputs
Outputs of similar age
#22,852
of 228,752 outputs
Outputs of similar age from The Journal of Molecular Diagnostics
#2
of 15 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,306 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 84% 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 228,752 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 89% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.