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Clinical Evaluation of a Novel Nine-Gene Panel for Ion Torrent PGM Sequencing of Myeloid Malignancies

Overview of attention for article published in Molecular Diagnosis & Therapy, October 2015
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Title
Clinical Evaluation of a Novel Nine-Gene Panel for Ion Torrent PGM Sequencing of Myeloid Malignancies
Published in
Molecular Diagnosis & Therapy, October 2015
DOI 10.1007/s40291-015-0172-1
Pubmed ID
Authors

Milena Ivanova, Velizar Shivarov, Ivan Pavlov, Konstantinos Lilakos, Elissaveta Naumova

Abstract

In the last decade, a number of genes have been reported to be recurrently associated with myeloid malignancies. While some mutations are easily detectable by conventional molecular genetics methods, other mutations are more difficult to screen because of lower frequency and being scattered along large genomic ranges. However, newly developed approaches for next-generation sequencing provide an affordable solution for targeted multiplex resequencing of up to several hundreds of amplicons. Here, we aimed to develop and validate a novel custom panel for targeted resequencing of myeloid malignancy samples using the Ion PGM™ System (Ion Torrent, Paisley, UK). We designed a pool of 424 primers for the amplification of 212 amplicons covering 99.46 % of the exonic regions of nine human genes as follows: ASXL1, EZH2, CALR, RUNX1, SETBP1, SF3B1, SRSF2, TET2, and U2AF1. Initial testing of the panel performance was performed on an Ion PGM™ machine using PGM™ 316 v2 chips on 16 DNA samples from patients with myeloid malignancies. Sequence alignment, variant calling, and annotation were performed using Ion Reporter software. We identified a total of 14 nonsynonymous somatic coding variants in seven samples affecting six of the genes in the panel (ASXL1, CALR, RUNX1, SRSF2, TET2, and U2AF1). Notably, three of the identified mutations were not present in the Cosmic v.67 release. This proof-of-concept study confirms the feasibility of Ion Torrent systems for resequencing of clinically relevant mutations in myeloid malignancies. It can be particularly useful in cases without the most frequent clonal markers.

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Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 22%
Researcher 2 22%
Student > Bachelor 1 11%
Professor > Associate Professor 1 11%
Student > Postgraduate 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 44%
Agricultural and Biological Sciences 1 11%
Medicine and Dentistry 1 11%
Unknown 3 33%
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 20 October 2015.
All research outputs
#19,405,863
of 24,716,872 outputs
Outputs from Molecular Diagnosis & Therapy
#291
of 419 outputs
Outputs of similar age
#197,393
of 289,707 outputs
Outputs of similar age from Molecular Diagnosis & Therapy
#6
of 8 outputs
Altmetric has tracked 24,716,872 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 419 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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