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Beijing Da Xue Xue Bao Yi Xue Ban. 2006 Feb 18;38(1):71-3.

Decision forest analysis of large-scale sib-pair identical-by-decent profiles for locating the underlying disease genes for alcoholism in human.

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1
Department of Computer Science, Harbin Institute of Technology, Harbin 150080, China.

Abstract

OBJECTIVE:

To extract the relevant SNPs for alcoholism using sib-pair IBD profiles of pedigrees.

METHODS:

We used the ensemble decision approach, a supervised learning approach based on decision forests, to locate alcoholism relevant SNPs using genome-wide SNP data.

RESULTS:

Application to a publicly available large dataset of 100 simulated replicates for three American populations (http://www.gaworkshop.org/) demonstrates that the proposed approach has successfully located all of the simulated true loci.

CONCLUSION:

The numerical results establish the proposed decision forest analysis to be a powerful and practical alternative for large-scale family-based association study.

PMID:
16415971
[Indexed for MEDLINE]
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