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Validation and Utilization of a Clinical Next-Generation Sequencing Panel for Selected Cardiovascular Disorders

Overview of attention for article published in Frontiers in Cardiovascular Medicine, March 2017
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Title
Validation and Utilization of a Clinical Next-Generation Sequencing Panel for Selected Cardiovascular Disorders
Published in
Frontiers in Cardiovascular Medicine, March 2017
DOI 10.3389/fcvm.2017.00011
Pubmed ID
Authors

Patrícia B. S. Celestino-Soper, Hongyu Gao, Ty C. Lynnes, Hai Lin, Yunlong Liu, Katherine G. Spoonamore, Peng-Sheng Chen, Matteo Vatta

Abstract

The development of high-throughput technologies such as next-generation sequencing (NGS) has allowed for thousands of DNA loci to be interrogated simultaneously in a fast and economical method for the detection of clinically deleterious variants. Whenever a clinical diagnosis is known, a targeted NGS approach involving the use of disease-specific gene panels can be employed. This approach is often valuable as it allows for a more specific and clinically relevant interpretation of results. Here, we describe the customization, validation, and utilization of a commercially available targeted enrichment platform for the scalability of clinical diagnostic cardiovascular genetic tests, including the design of the gene panels, the technical parameters for the quality assurance and quality control, the customization of the bioinformatics pipeline, and the post-bioinformatics analysis procedures. Regions of poor base coverage were detected and targeted by Sanger sequencing as needed. All panels were successfully validated using genotype-known DNA samples either commercially available or from research subjects previously tested in outside clinical laboratories. In our experience, utilizing several of the sub-panels in a clinical setting with 33 real-life cardiovascular patients, we found that 20% of tests requested were reported to have at least one pathogenic or likely pathogenic variant that could explain the patient phenotype. For each of these patients, the positive results may aid the clinical team and the patients in best developing a disease management plan and in identifying relatives at risk.

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The data shown below were collected from the profile of 1 X user 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Ph. D. Student 9 18%
Student > Master 7 14%
Student > Bachelor 6 12%
Professor > Associate Professor 2 4%
Other 4 8%
Unknown 9 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 24%
Biochemistry, Genetics and Molecular Biology 12 24%
Medicine and Dentistry 5 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Computer Science 2 4%
Other 5 10%
Unknown 11 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 April 2017.
All research outputs
#17,883,247
of 22,959,818 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,810
of 6,864 outputs
Outputs of similar age
#221,151
of 308,059 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#13
of 24 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,864 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 53% 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 308,059 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.