Evidence map›Paper›PMID 25886519›Full record

ArticleBMC cancer2015

Development and analytical validation of a 25-gene next generation sequencing panel that includes the BRCA1 and BRCA2 genes to assess hereditary cancer risk.

Thaddeus Judkins, Benoît Leclair, Karla Bowles, Natalia Gutin, Jeff Trost, James McCulloch, Satish Bhatnagar, Adam Murray, Jonathan Craft, Bryan Wardell and 11 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
14.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 116 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Real-world data in patients withEcancermedicalscience · 2023
    Review
  9. Cancer Risk Associated WithJCO precision oncology · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 2 institutions in 2 countries.

Thaddeus JudkinsMyriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA. tjudkins@myriad.com.
Benoît LeclairMyriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA. bleclair@myriad.com.
Karla BowlesMyriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA. kbowles@myriad.com.
Natalia GutinMyriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA. ngutin@myriad.com.
Jeff TrostMyriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA. jtrost@myriad.com.
James McCullochMyriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA. jmccullo@myriad.com.
Satish BhatnagarMyriad Genetics, Inc., Salt Lake City, Utah, USA. satishb@myriad.com.
Adam MurrayMyriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA. amurray@myriad.com.
Jonathan CraftMyriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA. jcraft@myriad.com.
Bryan WardellMyriad Genetics, Inc., Salt Lake City, Utah, USA. bwardell@myriad.com.
Mark BastianMyriad Genetics, Inc., Salt Lake City, Utah, USA. mbastian@myriad.com.
Jeffrey MitchellMyriad Genetics, Inc., Salt Lake City, Utah, USA. jeff@myriad.com.
Jian ChenMyriad Genetics, Inc., Salt Lake City, Utah, USA. jchen@myriad.com.
Thanh TranMyriad Genetics, Inc., Salt Lake City, Utah, USA. thanh@myriad.com.
Deborah WilliamsMyriad Genetics, Inc., Salt Lake City, Utah, USA. dtrem@myriad.com.
Jennifer PotterMyriad Genetics, Inc., Salt Lake City, Utah, USA. jpotter@myriad.com.
Srikanth JammulapatiMyriad Genetics, Inc., Salt Lake City, Utah, USA. sjammula@myriad.com.
Michael PerryMyriad Genetics, Inc., Salt Lake City, Utah, USA. mperry@myriad.com.
Brian MorrisMyriad Genetics, Inc., Salt Lake City, Utah, USA. bmorris@myriad.com.
Benjamin RoaMyriad Genetic Laboratories, Inc., Salt Lake City, Utah, USA. broa@myriad.com.
Kirsten TimmsMyriad Genetics, Inc., Salt Lake City, Utah, USA. ktimms@myriad.com.
Myriad Genetics · USMyriad (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGermline DNA mutations that increase the susceptibility of a patient to certain cancers have been identified in various genes, and patients can be screened for mutations in these genes to assess their level of risk for developing cancer. Traditional methods using Sanger sequencing focus on small groups of genes and therefore are unable to screen for numerous genes from several patients simultaneously. The goal of the present study was to validate a 25-gene panel to assess genetic risk for cancer in 8 different tissues using next generation sequencing (NGS) techniques.

methodsTwenty-five genes associated with hereditary cancer syndromes were selected for development of a panel to screen for risk of these cancers using NGS. In an initial technical assessment, NGS results for BRCA1 and BRCA2 were compared with Sanger sequencing in 1864 anonymized DNA samples from patients who had undergone previous clinical testing. Next, the entire gene panel was validated using parallel NGS and Sanger sequencing in 100 anonymized DNA samples. Large rearrangement analysis was validated using NGS, microarray comparative genomic hybridization (CGH), and multiplex ligation-dependent probe amplification analyses (MLPA).

resultsNGS identified 15,877 sequence variants, while Sanger sequencing identified 15,878 in the BRCA1 and BRCA2 comparison study of the same regions. Based on these results, the NGS process was refined prior to the validation of the full gene panel. In the validation study, NGS and Sanger sequencing were 100% concordant for the 3,923 collective variants across all genes for an analytical sensitivity of the NGS assay of >99.92% (lower limit of 95% confidence interval). NGS, microarray CGH and MLPA correctly identified all expected positive and negative large rearrangement results for the 25-gene panel.

conclusionThis study provides a thorough validation of the 25-gene NGS panel and indicates that this analysis tool can be used to collect clinically significant information related to risk of developing hereditary cancers.

Indexed as

Genes, BRCA1Genes, BRCA2Genetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingComparative Genomic HybridizationComputational BiologyGenetic TestingGenomicsGerm-Line MutationHumansMutationNeoplastic Syndromes, HereditaryReproducibility of ResultsRiskSensitivity and Specificity

Identifiers

PMID25886519
PMCPMC4391687
OpenAlexW1998705579

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.