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PMID: 19636343 Published · ppublish English Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Review

Systems genetics analysis of cancer susceptibility: from mouse models to humans.

Nature reviews. Genetics ·Vol. 10 ·No. 9 ·2009-00-00 ·Pages 651-7

Quigley D, Balmain A

Abstract

Genetic studies of cancer susceptibility have shown that most heritable risk cannot be explained by the main effects of common alleles. This may be due to unknown gene-gene or gene-environment interactions and the complex roles of many genes at different stages of cancer. Studies using mouse models of cancer suggest that methods that integrate genetic analysis and genomic networks with knowledge of cancer biology can help to extend our understanding of heritable cancer susceptibility.

MeSH Terms
Animals Disease Models, Animal Gene Regulatory Networks Genetic Predisposition to Disease/genetics Humans Mice Models, Biological Neoplasms/genetics Quantitative Trait Loci Systems Biology/methods
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Quigley David
Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California 94115, USA.
Balmain Allan
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Article Info
Journal
Nature reviews. Genetics
Abbr.
Nat Rev Genet
ISSN
1471-0064
DOI
10.1038/nrg2617
Published
2009-00-00
Epub
2009-00-28
Pages
651-7
Language
English
Region
England
NLM ID
100962779
Subset
IM
Grants
NCI NIH HHS · U01 CA84244 · United States
External Links
PubMed source DOI: 10.1038/nrg2617 View journal details
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