Modeling of environmental and genetic interactions with AMBROSIA, an information-theoretic model synthesis method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics (clinical),Genetics
Link
http://www.nature.com/articles/hdy201118.pdf
Reference19 articles.
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2. Briollais L, Wang Y, Rajendram I, Onay V, Shi E, Knight J et al. (2007). Methodological issues in detecting gene-gene interactions in breast cancer susceptibility: a population-based study in Ontario. BMC Med 5: 22.
3. Carlson CS, Eberle MA, Rieder MJ, Yi Q, Kruglyak L, Nickerson DA (2004). Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium. Am J Hum Genet 74: 106–120.
4. Chanda P, Sucheston L, Zhang A, Brazeau D, Freudenheim JL, Ambrosone C et al. (2008). AMBIENCE: a novel approach and efficient algorithm for identifying informative genetic and environment interactions associated with complex phenotypes. Genetics 180: 1191–1210.
5. Chanda P, Zhang A, Brazeau D, Sucheston L, Freudenheim JL, Ambrosone C et al. (2007). Information-theoretic metrics for visualizing gene-environment interactions. Am J Hum Genet 81: 939–963.
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