Evidence map›Paper›PMID 15557796›Full record

ReviewJournal of mammary gland biology and neoplasia2004

The genetic epidemiology of breast cancer genes.

Deborah Thompson, Douglas Easton

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of mammary gland biology and neoplasia, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 3 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

90 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. The Journal of international medical research · 2022
    Pooled it
  3. Pooled it
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  15. Breast cancer in sub-Saharan Africa: The current state and uncertain future.Experimental biology and medicine (Maywood, N.J.) · 2021
    Review
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  19. Article
  20. Article

30 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.

Deborah ThompsonCancer Research UK Genetic Epidemiology Unit, University of Cambridge, Cambridge, UK.
Douglas Easton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic susceptibility to breast cancer in women is conferred by a large number of genes, of which six have so far been identified. In the context of multiple-case families, BRCA1 and BRCA2 are the most important. Mutations in these genes confer high lifetime risks of breast cancer and ovarian cancer, and more moderate risks of prostate cancer and some other cancer types. Mutations in the CHEK2 and ATM genes, by contrast, cause much more modest (2-4 fold) risks of breast cancer. Genes so far identified explain approximately 20% of the familial aggregation of breast cancer. The remaining susceptibility genes have, so far, proved illusive, suggesting that they are numerous and confer moderate risks. A variety of techniques including genome-wide association studies, use of quantitative intermediate endpoints, and resequencing of genes may be required to identify them. The identification of such genes can provide a basis for targeted prevention of breast cancer.

Indexed as

Genes, BRCA1Genes, BRCA2Genetic Predisposition to DiseaseMolecular EpidemiologyAtaxia TelangiectasiaAtaxia Telangiectasia Mutated ProteinsBreast NeoplasmsCell Cycle ProteinsCheckpoint Kinase 2DNA-Binding ProteinsFemaleHumansLeucine ZippersMutationPedigreePhosphatidylinositol 3-KinasesAtaxia Telangiectasia Mutated ProteinsATM protein, humanCell Cycle ProteinsCheckpoint Kinase 2CHEK2 protein, humanDNA-Binding ProteinsPhosphatidylinositol 3-KinasesProtein Serine-Threonine KinasesTumor Suppressor Proteins

Identifiers

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.