Evidence map›Paper›PMID 26757262›Full record

ReviewBritish journal of cancer2016

Gene-environment interaction and risk of breast cancer.

Anja Rudolph, Jenny Chang-Claude, Marjanka K Schmidt

Open access · hybridAbstract readReview
In one paragraph

Review in British journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 3 pooled it
20.7field-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

92 citing papers in PubMed, 3 syntheses or guidelines pooled it, 177 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Metformin Impairs Breast Cancer Growth through the Inhibition of PRMT6.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. Within-family analysis of PRSJournal, genetic engineering & biotechnology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Precision oncology: transforming cancer care through personalized medicine.Medical oncology (Northwood, London, England) · 2025
    Review
  16. Review
  17. High-Dimensional Gene-Environment Interaction Analysis.Annual review of statistics and its application · 2025
    Article
  18. Article
  19. Article
  20. Review

32 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

3 authors at 3 institutions in 2 countries.

Anja RudolphUnit of Genetic Epidemiology, Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120 Heidelberg, Germany.
Jenny Chang-ClaudeUnit of Genetic Epidemiology, Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120 Heidelberg, Germany.
Marjanka K SchmidtDivision of Molecular Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital; Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands.
German Cancer Research Center · DEHeidelberg University · DEThe Netherlands Cancer Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hereditary, genetic factors as well as lifestyle and environmental factors, for example, parity and body mass index, predict breast cancer development. Gene-environment interaction studies may help to identify subgroups of women at high-risk of breast cancer and can be leveraged to discover new genetic risk factors. A few interesting results in studies including over 30,000 breast cancer cases and healthy controls indicate that such interactions exist. Explorative gene-environment interaction studies aiming to identify new genetic or environmental factors are scarce and still underpowered. Gene-environment interactions might be stronger for rare genetic variants, but data are lacking. Ongoing initiatives to genotype larger sample sets in combination with comprehensive epidemiologic databases will provide further opportunities to study gene-environment interactions in breast cancer. However, based on the available evidence, we conclude that associations between the common genetic variants known today and breast cancer risk are only weakly modified by environmental factors, if at all.

Indexed as

Gene-Environment InteractionReproductive HistoryAge FactorsAlcohol DrinkingBody Mass IndexBreast FeedingBreast NeoplasmsEstrogen Replacement TherapyFemaleGenetic Predisposition to DiseaseGenotypeHumansMenarcheMenopauseObesityPolymorphism, Single Nucleotide

Identifiers

PMID26757262
PMCPMC4815812
OpenAlexW2409971582

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.