Evidence map›Paper›PMID 20616022›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

Detection of inherited mutations for breast and ovarian cancer using genomic capture and massively parallel sequencing.

Tom Walsh, Ming K Lee, Silvia Casadei, Anne M Thornton, Sunday M Stray, Christopher Pennil, Alex S Nord, Jessica B Mandell, Elizabeth M Swisher, Mary-Claire King

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 238 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
238citing papers in PubMed, 2 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

238 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. HRDetect in Tubo-ovarian Carcinoma: Stratification and Therapeutic Implications.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  9. Article
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  12. Genetic regulation of the estrogen receptor and inherited predisposition to breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
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  16. Early breast cancer in youngTherapeutic advances in medical oncology · 2025
    Review
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  18. Article
  19. Article
  20. Article

178 more citing papers are in PubMed but not listed here.

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

10 authors.

Tom WalshDepartment of Medicine, University of Washington, Seattle, WA 98195, USA.
Ming K Lee
Silvia Casadei
Anne M Thornton
Sunday M Stray
Christopher Pennil
Alex S Nord
Jessica B Mandell
Elizabeth M Swisher
Mary-Claire King

Funding

COMPLETE VARIANT PROFILING OF ALL KNOWN BREAST CANCER GENESR01CA175716 · NCI · UNIVERSITY OF WASHINGTON · PI KING, MARY-CLAIRE, WALSH, TOMAS D · 2013 to 2017
$3.1M
NCI NIH HHS R01 CA175716
6 · The paper itself

Abstract

Inherited loss-of-function mutations in the tumor suppressor genes BRCA1, BRCA2, and multiple other genes predispose to high risks of breast and/or ovarian cancer. Cancer-associated inherited mutations in these genes are collectively quite common, but individually rare or even private. Genetic testing for BRCA1 and BRCA2 mutations has become an integral part of clinical practice, but testing is generally limited to these two genes and to women with severe family histories of breast or ovarian cancer. To determine whether massively parallel, "next-generation" sequencing would enable accurate, thorough, and cost-effective identification of inherited mutations for breast and ovarian cancer, we developed a genomic assay to capture, sequence, and detect all mutations in 21 genes, including BRCA1 and BRCA2, with inherited mutations that predispose to breast or ovarian cancer. Constitutional genomic DNA from subjects with known inherited mutations, ranging in size from 1 to >100,000 bp, was hybridized to custom oligonucleotides and then sequenced using a genome analyzer. Analysis was carried out blind to the mutation in each sample. Average coverage was >1200 reads per base pair. After filtering sequences for quality and number of reads, all single-nucleotide substitutions, small insertion and deletion mutations, and large genomic duplications and deletions were detected. There were zero false-positive calls of nonsense mutations, frameshift mutations, or genomic rearrangements for any gene in any of the test samples. This approach enables widespread genetic testing and personalized risk assessment for breast and ovarian cancer.

Indexed as

Genetic TestingMutationBase SequenceBRCA2 ProteinFemaleFrameshift MutationGenes, BRCA1Genes, BRCA2GenomeHumansMutagenesis, InsertionalOvarian NeoplasmsRisk AssessmentSequence DeletionBRCA2 Protein

Identifiers

PMID20616022
PMCPMC2906584

What OpenQuestion holds

Textmetadata
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.