Evidence map›Paper›PMID 16575876›Full record

ArticleGenes, chromosomes & cancer2006

A genome wide linkage search for breast cancer susceptibility genes.

Paula Smith, Lesley McGuffog, Douglas F Easton, Graham J Mann, Gulietta M Pupo, Beth Newman, Georgia Chenevix-Trench, kConFab Investigators, Csilla Szabo, Melissa Southey and 40 more

Abstract read
In one paragraph

Article in Genes, chromosomes & cancer, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
–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

56 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A New de novoThe application of clinical genetics · 2023
    Article
  5. Review
  6. Article
  7. BRCA and Breast Cancer-Related High-Penetrance Genes.Advances in experimental medicine and biology · 2021
    Review
  8. Frontiers in genetics · 2020
    Article
  9. Article
  10. Journey's end: the quest for BRCA-like hereditary breast cancer genes is nearly over.Annals of oncology : official journal of the European Society for Medical Oncology · 2019
    Article
  11. Article
  12. Oncotarget · 2017
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

50 authors.

Paula SmithCR-UK Genetic Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Lesley McGuffog
Douglas F Easton
Graham J Mann
Gulietta M Pupo
Beth Newman
Georgia Chenevix-Trench
kConFab Investigators
Csilla Szabo
Melissa Southey
Hélène Renard
Fabrice Odefrey
Henry Lynch
Dominique Stoppa-Lyonnet
Fergus Couch
John L Hopper
Graham G Giles
Margaret R E McCredie
Saundra Buys
Irene Andrulis
Ruby Senie
BCFS, BRCAX Collaborators Group
David E Goldgar
Rogier Oldenburg
Karin Kroeze-Jansema
Jaennelle Kraan
Hanne Meijers-Heijboer
Jan G M Klijn
Christi van Asperen
Inge van Leeuwen
Hans F A Vasen
Cees J Cornelisse
Peter Devilee
Linda Baskcomb
Sheila Seal
Rita Barfoot
Jon Mangion
Anita Hall
Sarah Edkins
Elizabeth Rapley
Richard Wooster
Jenny Chang-Claude
Diana Eccles
D Gareth Evans
P Andrew Futreal
Katherine L Nathanson
Barbara L Weber
Breast Cancer Susceptibility Collaboration (UK)
Nazneen Rahman
Michael R Stratton

Funding

Targeted Prodrug Therapy of Liver CancersR01CA095003 · NCI · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · PI KUO, MACUS T · 2002 to 2005
$1.1M
Cancer Research UK A3353Cancer Research UK A5260NCI NIH HHS CA-95-003Wellcome Trust 077012
6 · The paper itself

Abstract

Mutations in known breast cancer susceptibility genes account for a minority of the familial aggregation of the disease. To search for further breast cancer susceptibility genes, we performed a combined analysis of four genome-wide linkage screens, which included a total of 149 multiple case breast cancer families. All families included at least three cases of breast cancer diagnosed below age 60 years, at least one of whom had been tested and found not to carry a BRCA1 or BRCA2 mutation. Evidence for linkage was assessed using parametric linkage analysis, assuming both a dominant and a recessive mode of inheritance, and using nonparametric methods. The highest LOD score obtained in any analysis of the combined data was 1.80 under the dominant model, in a region on chromosome 4 close to marker D4S392. Three further LOD scores over 1 were identified in the parametric analyses and two in the nonparametric analyses. A maximum LOD score of 2.40 was found on chromosome arm 2p in families with four or more cases of breast cancer diagnosed below age 50 years. The number of linkage peaks did not differ from the number expected by chance. These results suggest regions that may harbor novel breast cancer susceptibility genes. They also indicate that no single gene is likely to account for a large fraction of the familial aggregation of breast cancer that is not due to mutations in BRCA1 or BRCA2.

Indexed as

Genetic LinkageGenetic Predisposition to DiseaseGenome, HumanBreast NeoplasmsFemaleGenes, BRCA1Genes, BRCA2Genetic TestingHumansLod ScoreMaleModels, Statistical

Identifiers

PMID16575876
PMCPMC2714969

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Registered trials

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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.