ArticleAnnals of human genetics2011
Detecting epistatic SNPs associated with complex diseases via a Bayesian classification tree search method.
Article in Annals of human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Genomics of posttraumatic stress disorder in veterans: Methods and rationale for Veterans Affairs Cooperative Study #575B.International journal of methods in psychiatric research · 2019Article
- Comments on Fifty Years of Classification and Regression Trees.International statistical review = Revue internationale de statistique · 2014Article
- Adaptive tests for detecting gene-gene and gene-environment interactions.Human heredity · 2011Article
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3 authors.
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Abstract
Complex phenotypes are known to be associated with interactions among genetic factors. A growing body of evidence suggests that gene-gene interactions contribute to many common human diseases. Identifying potential interactions of multiple polymorphisms thus may be important to understand the biology and biochemical processes of the disease etiology. However, despite the great success of genome-wide association studies that mostly focus on single locus analysis, it is challenging to detect these interactions, especially when the marginal effects of the susceptible loci are weak and/or they involve several genetic factors. Here we describe a Bayesian classification tree model to detect such interactions in case-control association studies. We show that this method has the potential to uncover interactions involving polymorphisms showing weak to moderate marginal effects as well as multi-factorial interactions involving more than two loci.
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