Evidence map›Paper›PMID 20418484›Full record

ArticleHuman molecular genetics2010

Common variants associated with breast cancer in genome-wide association studies are modifiers of breast cancer risk in BRCA1 and BRCA2 mutation carriers.

Xianshu Wang, V Shane Pankratz, Zachary Fredericksen, Robert Tarrell, Mary Karaus, Lesley McGuffog, Paul D P Pharaoh, Bruce A J Ponder, Alison M Dunning, Susan Peock and 38 more

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
8.0field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Effects ofPharmacogenomics · 2019
    Trial
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Genetic Influences in Breast Cancer Drug Resistance.Breast cancer (Dove Medical Press) · 2021
    Review
  13. Article
  14. Journal of clinical medicine · 2018
    Article
  15. Article
  16. Review
  17. Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    Review
  18. Article
  19. Review
  20. Genomic Biomarkers for Breast Cancer Risk.Advances in experimental medicine and biology · 2016
    Review
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

48 authors at 20 institutions in 10 countries.

Xianshu WangDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
V Shane Pankratz
Zachary Fredericksen
Robert Tarrell
Mary Karaus
Lesley McGuffog
Paul D P Pharaoh
Bruce A J Ponder
Alison M Dunning
Susan Peock
Margaret Cook
Clare Oliver
Debra Frost
EMBRACE
Olga M Sinilnikova
Dominique Stoppa-Lyonnet
Sylvie Mazoyer
Claude Houdayer
GEMO
Frans B L Hogervorst
Maartje J Hooning
Marjolijn J Ligtenberg
HEBON
Amanda Spurdle
Georgia Chenevix-Trench
kConFab
Rita K Schmutzler
Barbara Wappenschmidt
Christoph Engel
Alfons Meindl
Susan M Domchek
Katherine L Nathanson
Timothy R Rebbeck
Christian F Singer
Daphne Gschwantler-Kaulich
Catherina Dressler
Anneliese Fink
Csilla I Szabo
Michal Zikan
Lenka Foretova
Kathleen Claes
Gilles Thomas
Robert N Hoover
David J Hunter
Stephen J Chanock
Douglas F Easton
Antonis C Antoniou
Fergus J Couch
Cancer Research UK · GBMayo Clinic in Florida · USMedical University of Vienna · ATUniversity of Cambridge · GBUniversity of Pennsylvania · USDivision of Cancer Epidemiology and GeneticsUniversity Hospital Cologne · DECentre Léon Bérard · FRCharles University · CZErasmus MC Cancer Institute · NLGhent University Hospital · BEHarvard University · USHospices Civils de Lyon · FRInserm · FRInstitut Cochin · FRKlinikum rechts der Isar · DELeipzig University · DEMasaryk Memorial Cancer Institute · CZMayo Clinic in Arizona · USNational Cancer Institute · US

Funding

The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI PETER C LUCAS · 2005 to 2026
$49.9M
A genome-wide association study for breast cancer in BRCA1 mutation carriersR01CA128978 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2008 to 2012
$4.8M
Genetic epidemiology of cell division regulation in breast cancerR01CA122340 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2007 to 2011
$3.0M
Cancer Research UK 10118Cancer Research UK 11022Cancer Research UK 11174Cancer Research UK 19275Cancer Research UK A10123Cancer Research UK C1287/A10118Cancer Research UK C1287/A8874Cancer Research UK C5047/A8385Intramural NIH HHSNCI NIH HHS P50 CA116201NCI NIH HHS R01 CA122340NCI NIH HHS R01 CA128978
6 · The paper itself

Abstract

Recent studies have identified single nucleotide polymorphisms (SNPs) that significantly modify breast cancer risk in BRCA1 and BRCA2 mutation carriers. Since these risk modifiers were originally identified as genetic risk factors for breast cancer in genome-wide association studies (GWASs), additional risk modifiers for BRCA1 and BRCA2 may be identified from promising signals discovered in breast cancer GWAS. A total of 350 SNPs identified as candidate breast cancer risk factors (P < 1 x 10(-3)) in two breast cancer GWAS studies were genotyped in 3451 BRCA1 and 2006 BRCA2 mutation carriers from nine centers. Associations with breast cancer risk were assessed using Cox models weighted for penetrance. Eight SNPs in BRCA1 carriers and 12 SNPs in BRCA2 carriers, representing an enrichment over the number expected, were significantly associated with breast cancer risk (P(trend) < 0.01). The minor alleles of rs6138178 in SNRPB and rs6602595 in CAMK1D displayed the strongest associations in BRCA1 carriers (HR = 0.78, 95% CI: 0.69-0.90, P(trend) = 3.6 x 10(-4) and HR = 1.25, 95% CI: 1.10-1.41, P(trend) = 4.2 x 10(-4)), whereas rs9393597 in LOC134997 and rs12652447 in FBXL7 showed the strongest associations in BRCA2 carriers (HR = 1.55, 95% CI: 1.25-1.92, P(trend) = 6 x 10(-5) and HR = 1.37, 95% CI: 1.16-1.62, P(trend) = 1.7 x 10(-4)). The magnitude and direction of the associations were consistent with the original GWAS. In subsequent risk assessment studies, the loci appeared to interact multiplicatively for breast cancer risk in BRCA1 and BRCA2 carriers. Promising candidate SNPs from GWAS were identified as modifiers of breast cancer risk in BRCA1 and BRCA2 carriers. Upon further validation, these SNPs together with other genetic and environmental factors may improve breast cancer risk assessment in these populations.

Indexed as

Genes, BRCA1Genes, BRCA2Polymorphism, Single NucleotideAdultBreast NeoplasmsCarcinomaEpistasis, GeneticFemaleGene FrequencyGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHeterozygoteHumansMiddle Aged

Identifiers

PMID20418484
PMCPMC2893806
OpenAlexW2131423593

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.