Evidence map›Paper›PMID 27822389›Full record

ReviewInternational journal of breast cancer2016

Beyond DNA: An Integrated and Functional Approach for Classifying Germline Variants in Breast Cancer Genes.

T Pesaran, R Karam, R Huether, S Li, S Farber-Katz, A Chamberlin, H Chong, H LaDuca, A Elliott

Open access · goldAbstract readReview
In one paragraph

Review in International journal of breast cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 75 citations in OpenAlex.

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  19. Classification of the canonical splice alterationCold Spring Harbor molecular case studies · 2022
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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

9 authors at 1 institution in 1 country.

T PesaranAmbry Genetics Corp., 15 Argonaut, Aliso Viejo, CA 92656, USA.ORCID 0000-0001-9807-4304
R KaramAmbry Genetics Corp., 15 Argonaut, Aliso Viejo, CA 92656, USA.
R HuetherAmbry Genetics Corp., 15 Argonaut, Aliso Viejo, CA 92656, USA.
S LiAmbry Genetics Corp., 15 Argonaut, Aliso Viejo, CA 92656, USA.
S Farber-KatzAmbry Genetics Corp., 15 Argonaut, Aliso Viejo, CA 92656, USA.
A ChamberlinAmbry Genetics Corp., 15 Argonaut, Aliso Viejo, CA 92656, USA.
H ChongAmbry Genetics Corp., 15 Argonaut, Aliso Viejo, CA 92656, USA.
H LaDucaAmbry Genetics Corp., 15 Argonaut, Aliso Viejo, CA 92656, USA.
A ElliottAmbry Genetics Corp., 15 Argonaut, Aliso Viejo, CA 92656, USA.ORCID 0000-0001-6099-5124
Ambry Genetics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic testing for hereditary breast cancer is an integral part of individualized care in the new era of precision medicine. The accuracy of an assay is reliant on not only the technology and bioinformatics analysis utilized but also the experience and infrastructure required to correctly classify genetic variants as disease-causing. Interpreting the clinical significance of germline variants identified by hereditary cancer testing is complex and has a significant impact on the management of patients who are at increased cancer risk. In this review we give an overview of our clinical laboratory's integrated approach to variant assessment. We discuss some of the nuances that should be considered in the assessment of genomic variants. In addition, we highlight lines of evidence such as functional assays and structural analysis that can be useful in the assessment of rare and complex variants.

Identifiers

PMID27822389
PMCPMC5086358
OpenAlexW2531603586

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.