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Next-generation sequencing using a pre-designed gene panel for the molecular diagnosis of congenital disorders in pediatric patients

Overview of attention for article published in Human Genomics, December 2015
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Next-generation sequencing using a pre-designed gene panel for the molecular diagnosis of congenital disorders in pediatric patients
Published in
Human Genomics, December 2015
DOI 10.1186/s40246-015-0055-x
Pubmed ID
Authors

Eileen C. P. Lim, Maggie Brett, Angeline H. M. Lai, Siew-Peng Lee, Ee-Shien Tan, Saumya S. Jamuar, Ivy S. L. Ng, Ene-Choo Tan

Abstract

Next-generation sequencing (NGS) has revolutionized genetic research and offers enormous potential for clinical application. Sequencing the exome has the advantage of casting the net wide for all known coding regions while targeted gene panel sequencing provides enhanced sequencing depths and can be designed to avoid incidental findings in adult-onset conditions. A HaloPlex panel consisting of 180 genes within commonly altered chromosomal regions is available for use on both the Ion Personal Genome Machine® (PGM(TM)) and MiSeq platforms to screen for causative mutations in these genes. We used this Haloplex ICCG panel for targeted sequencing of 15 patients with clinical presentations indicative of an abnormality in one of the 180 genes. Sequencing runs were done using the Ion 318 Chips on the Ion Torrent PGM. Variants were filtered for known polymorphisms and analysis was done to identify possible disease-causing variants before validation by Sanger sequencing. When possible, segregation of variants with phenotype in family members was performed to ascertain the pathogenicity of the variant. More than 97 % of the target bases were covered at >20×. There was an average of 9.6 novel variants per patient. Pathogenic mutations were identified in five genes for six patients, with two novel variants. There were another five likely pathogenic variants, some of which were unreported novel variants. In a cohort of 15 patients, we were able to identify a likely genetic etiology in six patients (40 %). Another five patients had candidate variants for which further evaluation and segregation analysis are ongoing. Our results indicate that the HaloPlex ICCG panel is useful as a rapid, high-throughput and cost-effective screening tool for 170 of the 180 genes. There is low coverage for some regions in several genes which might have to be supplemented by Sanger sequencing. However, comparing the cost, ease of analysis, and shorter turnaround time, it is a good alternative to exome sequencing for patients whose features are suggestive of a genetic etiology involving one of the genes in the panel.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 15%
Student > Bachelor 7 13%
Other 6 11%
Student > Master 6 11%
Researcher 4 7%
Other 10 19%
Unknown 13 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 24%
Medicine and Dentistry 11 20%
Agricultural and Biological Sciences 6 11%
Unspecified 3 6%
Computer Science 3 6%
Other 4 7%
Unknown 14 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 December 2015.
All research outputs
#14,536,679
of 25,374,647 outputs
Outputs from Human Genomics
#275
of 564 outputs
Outputs of similar age
#189,763
of 396,115 outputs
Outputs of similar age from Human Genomics
#5
of 11 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 50% 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 396,115 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 11 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 54% of its contemporaries.