Evidence map›Paper›PMID 28302160›Full record

ArticleBreast cancer research : BCR2017

Increased genomic burden of germline copy number variants is associated with early onset breast cancer: Australian breast cancer family registry.

Logan C Walker, John F Pearson, George A R Wiggins, Graham G Giles, John L Hopper, Melissa C Southey

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Logan C WalkerMackenzie Cancer Research Group, Department of Pathology, University of Otago, Christchurch, New Zealand.
John F PearsonBiostatistics and Computational Biology Unit, University of Otago, Christchurch, New Zealand.
George A R WigginsMackenzie Cancer Research Group, Department of Pathology, University of Otago, Christchurch, New Zealand.
Graham G GilesCancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia.
John L HopperCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia. j.hopper@unimelb.edu.au.
Melissa C SoutheyGenetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Melbourne, Victoria, Australia.
University of Otago · NZUniversity of Melbourne · AUCancer Council Victoria · AU

Funding

Breast Cancer Family Registry CohortUM1CA164920 · NCI · CANCER PREVENTION INSTIT OF CALIFORNIA · PI ANDRULIS, IRENE, BUYS, SAUNDRA S · 2012 to 2017
$12.7M
NCI NIH HHS UM1 CA164920
6 · The paper itself

Abstract

backgroundWomen with breast cancer who have multiple affected relatives are more likely to have inherited genetic risk factors for the disease. All the currently known genetic risk factors for breast cancer account for less than half of the average familial risk. Furthermore, the genetic factor(s) underlying an increased cancer risk for many women from multiple-case families remain unknown. Rare genomic duplications and deletions, known as copy number variants (CNVs), cover more than 10% of a human genome, are often not assessed in studies of genetic predisposition, and could account for some of the so-called "missing heritability".

methodsWe carried out a hypothesis-generating case-control study of breast cancer diagnosed before age 40 years (200 cases, 293 controls) using population-based cases from the Australian Breast Cancer Family Study. Genome-wide scanning for CNVs was performed using the Human610-Quad BeadChip and fine-mapping was conducted using PennCNV.

resultsWe identified deletions overlapping two known cancer susceptibility genes, (BRCA1 and BLM), and a duplication overlapping SMARCB1, associated with risk. The number of deletions across the genome was 1.5-fold higher for cases than controls (P = 10

conclusionThese results suggest rare CNVs might have a role in breast cancer susceptibility, at least for disease at a young age.

Indexed as

DNA Copy Number VariationsGenetic Predisposition to DiseaseAge of OnsetAustraliaBreast NeoplasmsCase-Control StudiesComputational BiologyFemaleGene FrequencyGenetic Association StudiesGenome-Wide Association StudyGenomicsGerm CellsHumansRegistriesBreast cancerCopy number variantsEarly onsetGenome-wide association analysisInherited susceptibility

Identifiers

PMID28302160
PMCPMC5356248
OpenAlexW2596254690

What OpenQuestion holds

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LicenceCC BY
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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.