Evidence map›Paper›PMID 16998504›Full record

ReviewOncogene2006

Models of genetic susceptibility to breast cancer.

A C Antoniou, D F Easton

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 4 pooled it
13.4field-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

130 citing papers in PubMed, 4 syntheses or guidelines pooled it, 309 citations in OpenAlex.

  1. Ethnicity modifies the association between functional microRNA polymorphisms and breast cancer risk: a HuGE meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
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  16. Detecting the Frequency of c.5946delT Pathogenic Variant in theBreast cancer (Dove Medical Press) · 2023
    Article
  17. The Investigation of the Association Between theClinical Medicine Insights. Oncology · 2023
    Article
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  19. Review
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70 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

2 authors at 1 institution in 1 country.

A C AntoniouCancer Research UK Genetic Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK. antonis@srl.cam.ac.uk
D F Easton
University of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most important risk factors for breast cancer is family history of the disease, indicating that genetic factors are important determinants of breast cancer risk. A number of breast cancer susceptibility genes have been identified, the most important being BRCA1 and BRCA2. However, it is estimated that all the currently known breast cancer susceptibility genes accounts for less than 25% of the familial aggregation of breast cancer. In this paper, we review the evidence for other breast cancer susceptibility genes arising from twin studies, pedigree analysis and studies of phenotypes associated with breast cancer, and the progress towards finding other breast cancer susceptibility genes through linkage and association studies. Taken together, the available evidence indicates that susceptibility to breast cancer is mediated through variants in many genes, each conferring a moderate risk of the disease. Such a model of susceptibility has implications for both risk prediction and for future gene identification studies.

Indexed as

Genetic Predisposition to DiseaseAdultAgedBreast NeoplasmsChildChromosome MappingGenes, BRCA1Genes, BRCA2HumansMaleMiddle AgedModels, GeneticModels, StatisticalPedigreeTwin Studies as Topic

Identifiers

PMID16998504
OpenAlexW2052716173

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.