Bayesian network for learning epistasis

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MariaG
GenABEL specialist
GenABEL specialist
Posts: 36
Joined: Thu Feb 03, 2011 12:29 pm

Bayesian network for learning epistasis

Postby MariaG » Sun May 08, 2011 9:17 pm

One approach, and I would say the most common approach, to learn epistasis is “phenotype~genotype” linear models or association tests. The other method is Bayesian network. The fresh paper, I’ve seen on this topic, is “Learning genetic epistasis using Bayesian network scoring criteria”, X. Jiang, R. Neapolitan, M. Barmada and S. Visweswaran, Bioinformatics, 31 March 2011

http://www.biomedcentral.com/1471-2105/12/89

The main goal is “to develop a method that can discover SNPs associated with disease from real data”.
What I like in the article is that the authors try to find and justify an appropriate criteria to how to choose the most correct network.
What is annoying: they were not able to answer the question unambiguously ;)

Have you ever tried to use Bayesian network for learning epistasis? What are your impressions? Can you give further interesting links for BN - epistasis?

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