Skip Navigation


Carcinogenesis Advance Access originally published online on May 14, 2008
Carcinogenesis 2008 29(6):1215-1218; doi:10.1093/carcin/bgn120
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
29/6/1215    most recent
bgn120v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Milne, R. L.
Right arrow Articles by Benítez, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Milne, R. L.
Right arrow Articles by Benítez, J.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2008. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

The importance of replication in gene–gene interaction studies: multifactor dimensionality reduction applied to a two-stage breast cancer case–control study

Roger L. Milne1,*, Rainer Fagerholm2, Heli Nevanlinna2 and Javier Benítez1,3

1 National Genotyping Centre, Spanish National Cancer Research Centre, Madrid 28029, Spain
2 Department of Obstetrics and Gynecology, Helsinki University Central Hospital, Helsinki 00290, Finland
3 Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid 28029, Spain

* To whom correspondence should be addressed. Tel: +34 91 224 6900; Fax: +34 91 224 6980; Email: rmilne{at}cnio.es

A polygenic model has been proposed to explain the bulk of the genetic component of breast cancer aetiology and this is probably to include both main effects and interactions between multiple loci. However, the power to detect the interactions using traditional analytical methods is very limited for most studies. Multifactor dimensionality reduction (MDR) has been suggested to have increased power to detect interactions and is increasing being used in published studies. We applied MDR to a two-stage case–control breast cancer study conducted in Spain and Finland. In the stage 1 Spanish study of 864 cases and 845 controls, we evaluated interaction between 474 single-nucleotide polymorphisms in 120 cancer-related genes, subdivided into 34 genetic pathways and found evidence of a four-way interaction between genes in the FatiGO-defined B-cell receptor-signalling pathway (P < 0.006). However, this result was not replicated in the stage 2 Finnish study of 580 cases and 920 controls (P = 0.99). A number of technical issues in applying MDR to case–control data were identified and discussed. One of these is that the estimated sign test P-value can vary substantially at random, which raises doubts about its reliability. More generally, the present study serves as an important caution in the interpretation of results from single studies of gene–gene or gene–environment interaction in complex diseases. Just as for genetic main effects, the replication of positive findings in additional independent series is essential.

Abbreviations: LD, linkage disequilibrium; MDR, multifactor dimensionality reduction; SNP, single-nucleotide polymorphism

Received February 25, 2008; revised April 15, 2008; accepted May 8, 2008.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.