Evidence map›Paper›PMID 22072393›Full record

ArticleHuman molecular genetics2012

Gene-gene interactions in breast cancer susceptibility.

Clare Turnbull, Sheila Seal, Anthony Renwick, Margaret Warren-Perry, Deborah Hughes, Anna Elliott, David Pernet, Susan Peock, Julian W Adlard, Julian Barwell and 29 more

Abstract read
In one paragraph

Article in Human molecular genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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  12. Germline Variation and Breast Cancer Incidence: A Gene-Based Association Study and Whole-Genome Prediction of Early-Onset Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    Article
  13. Review
  14. Incorporating truncating variants in PALB2, CHEK2, and ATM into the BOADICEA breast cancer risk model.Genetics in medicine : official journal of the American College of Medical Genetics · 2016
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. New genetic variants improve personalized breast cancer diagnosis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014
    Article
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

39 authors.

Clare TurnbullDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK. clare.turnbull@icr.ac.uk
Sheila Seal
Anthony Renwick
Margaret Warren-Perry
Deborah Hughes
Anna Elliott
David Pernet
Susan Peock
Julian W Adlard
Julian Barwell
Jonathan Berg
Angela F Brady
Carole Brewer
Glen Brice
Cyril Chapman
Jackie Cook
Rosemarie Davidson
Alan Donaldson
Fiona Douglas
Lynn Greenhalgh
Alex Henderson
Louise Izatt
Ajith Kumar
Fiona Lalloo
Zosia Miedzybrodzka
Patrick J Morrison
Joan Paterson
Mary Porteous
Mark T Rogers
Susan Shanley
Lisa Walker
Breast Cancer Susceptibility Collaboration (UK), EMBRACE
Munaza Ahmed
Diana Eccles
D Gareth Evans
Peter Donnelly
Douglas F Easton
Michael R Stratton
Nazneen Rahman

Funding

Cancer Research UK 10118Cancer Research UK 11022Cancer Research UK 15106Cancer Research UK C1287/A10118Cancer Research UK C1287/A8874Cancer Research UK C8620/A8372Cancer Research UK C8620/A8857Medical Research Council G0000934Medical Research Council G0700491Wellcome Trust 068545/Z/02Wellcome Trust 090532
6 · The paper itself

Abstract

There have been few definitive examples of gene-gene interactions in humans. Through mutational analyses in 7325 individuals, we report four interactions (defined as departures from a multiplicative model) between mutations in the breast cancer susceptibility genes ATM and CHEK2 with BRCA1 and BRCA2 (case-only interaction between ATM and BRCA1/BRCA2 combined, P = 5.9 × 10(-4); ATM and BRCA1, P= 0.01; ATM and BRCA2, P= 0.02; CHEK2 and BRCA1/BRCA2 combined, P = 2.1 × 10(-4); CHEK2 and BRCA1, P= 0.01; CHEK2 and BRCA2, P= 0.01). The interactions are such that the resultant risk of breast cancer is lower than the multiplicative product of the constituent risks, and plausibly reflect the functional relationships of the encoded proteins in DNA repair. These findings have important implications for models of disease predisposition and clinical translation.

Indexed as

Genes, BRCA1Genes, BRCA2Ataxia Telangiectasia Mutated ProteinsBreast NeoplasmsCell Cycle ProteinsCheckpoint Kinase 2DNA-Binding ProteinsDNA Mutational AnalysisFamily HealthFemaleGenetic Predisposition to DiseaseHumansModels, GeneticPedigreeProtein Serine-Threonine KinasesTumor Suppressor ProteinsAtaxia Telangiectasia Mutated ProteinsATM protein, humanCell Cycle ProteinsCheckpoint Kinase 2CHEK2 protein, humanDNA-Binding ProteinsProtein Serine-Threonine KinasesTumor Suppressor Proteins

Identifiers

PMID22072393
PMCPMC4125627

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.