A systems biology network model for genetic association studies of nicotine addiction and treatment by Thomas Paul D, Mi Huaiyu, Swan Gary E, Lerman Caryn, Benowitz Neal, Tyndale Rachel F, Bergen Andrew W, Conti David V, Pharmacogenetics of Nicotine Addiction and Treatment Consortium in Pharmacogenetics and genomics (2009).

[PMID: 19525886] PubMed


Interpreting genome-scale genetic association data, particularly for complex diseases and phenotypes, requires extensive use of prior knowledge across a broad range of potential biological and environmental influences, spanning many scientific subdisciplines. We suggest that known or hypothesized disease risk factors, and causal mechanisms, can be represented using an ontology, a computational specification of a set of concepts and the relations between them.

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