Evidence map›Paper›PMID 28050010›Full record

ArticleScientific reports2017

Benchmarking of Whole Exome Sequencing and Ad Hoc Designed Panels for Genetic Testing of Hereditary Cancer.

Lídia Feliubadaló, Raúl Tonda, Mireia Gausachs, Jean-Rémi Trotta, Elisabeth Castellanos, Adriana López-Doriga, Àlex Teulé, Eva Tornero, Jesús Del Valle, Bernat Gel and 11 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Digital pathology and artificial intelligence in translational medicine and clinical practice.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Review
  12. Article
  13. A catalog of curated breast cancer genes.Breast cancer research and treatment · 2022
    Article
  14. Review
  15. Review
  16. Genes · 2021
    Article
  17. Article
  18. Role of POLE and POLD1 in familial cancer.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  19. Review
  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.

Lídia FeliubadalóHereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IDIBELL campus in Hospitalet de Llobregat, Catalonia, Spain.
Raúl TondaCentro Nacional de Análisis Genómico (CNAG-CRG), Center for Genomic Regulation, Barcelona Institute of Science and Technology (BIST), Barcelona, Catalonia, Spain.
Mireia GausachsHereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IDIBELL campus in Hospitalet de Llobregat, Catalonia, Spain.
Jean-Rémi TrottaCentro Nacional de Análisis Genómico (CNAG-CRG), Center for Genomic Regulation, Barcelona Institute of Science and Technology (BIST), Barcelona, Catalonia, Spain.
Elisabeth CastellanosGenetic Variation in Cancer Group, Joint Program on Hereditary Cancer, Institut de Medicina Predictiva i Personalitzada del Càncer, Badalona, Catalonia, Spain.
Adriana López-DorigaHereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IDIBELL campus in Hospitalet de Llobregat, Catalonia, Spain.
Àlex TeuléHereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IDIBELL campus in Hospitalet de Llobregat, Catalonia, Spain.
Eva TorneroHereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IDIBELL campus in Hospitalet de Llobregat, Catalonia, Spain.
Jesús Del ValleHereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IDIBELL campus in Hospitalet de Llobregat, Catalonia, Spain.
Bernat GelGenetic Variation in Cancer Group, Joint Program on Hereditary Cancer, Institut de Medicina Predictiva i Personalitzada del Càncer, Badalona, Catalonia, Spain.
Marta GutCentro Nacional de Análisis Genómico (CNAG-CRG), Center for Genomic Regulation, Barcelona Institute of Science and Technology (BIST), Barcelona, Catalonia, Spain.
Marta PinedaHereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IDIBELL campus in Hospitalet de Llobregat, Catalonia, Spain.
Sara GonzálezHereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IDIBELL campus in Hospitalet de Llobregat, Catalonia, Spain.
Mireia MenéndezHereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IDIBELL campus in Hospitalet de Llobregat, Catalonia, Spain.
Matilde NavarroHereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IDIBELL campus in Hospitalet de Llobregat, Catalonia, Spain.
Gabriel CapelláHereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IDIBELL campus in Hospitalet de Llobregat, Catalonia, Spain.
Ivo GutCentro Nacional de Análisis Genómico (CNAG-CRG), Center for Genomic Regulation, Barcelona Institute of Science and Technology (BIST), Barcelona, Catalonia, Spain.
Eduard SerraGenetic Variation in Cancer Group, Joint Program on Hereditary Cancer, Institut de Medicina Predictiva i Personalitzada del Càncer, Badalona, Catalonia, Spain.
Joan BrunetHereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IdibGi in Girona, Catalonia, Spain.
Sergi BeltranCentro Nacional de Análisis Genómico (CNAG-CRG), Center for Genomic Regulation, Barcelona Institute of Science and Technology (BIST), Barcelona, Catalonia, Spain.
Conxi LázaroHereditary Cancer Program, Joint Program on Hereditary Cancer, Catalan Institute of Oncology, IDIBELL campus in Hospitalet de Llobregat, Catalonia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next generation sequencing panels have been developed for hereditary cancer, although there is some debate about their cost-effectiveness compared to exome sequencing. The performance of two panels is compared to exome sequencing. Twenty-four patients were selected: ten with identified mutations (control set) and fourteen suspicious of hereditary cancer but with no mutation (discovery set). TruSight Cancer (94 genes) and a custom panel (122 genes) were assessed alongside exome sequencing. Eighty-three genes were targeted by the two panels and exome sequencing. More than 99% of bases had a read depth of over 30x in the panels, whereas exome sequencing covered 94%. Variant calling with standard settings identified the 10 mutations in the control set, with the exception of MSH6 c.255dupC using TruSight Cancer. In the discovery set, 240 unique non-silent coding and canonic splice-site variants were identified in the panel genes, 7 of them putatively pathogenic (in ATM, BARD1, CHEK2, ERCC3, FANCL, FANCM, MSH2). The three approaches identified a similar number of variants in the shared genes. Exomes were more expensive than panels but provided additional data. In terms of cost and depth, panels are a suitable option for genetic diagnostics, although exomes also identify variants in non-targeted genes.

Indexed as

Genetic Predisposition to DiseaseBenchmarkingExome SequencingGenetic TestingHigh-Throughput Nucleotide SequencingHumansMutationNeoplastic Syndromes, Hereditary

Identifiers

PMID28050010
PMCPMC5209723

What OpenQuestion holds

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Registered trials

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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.