Decision forest analysis of large-scale sib-pair identical-by-decent profiles for locating the underlying disease genes for alcoholism in human
- VernacularTitle:决策森林分析大型IBD谱定位酒精依赖症相关基因
- Author:
Xia LI
;
Shaoqi RAO
;
Wei ZHANG
;
Zheng GUO
;
Wei JIANG
;
Lei DU
- Publication Type:Journal Article
- Keywords:
Polymorphism,single nucleotide;
Alcoholism;
Medical informatics;
Pedigree
- From:
Journal of Peking University(Health Sciences)
2006;38(1):71-73
- CountryChina
- Language:Chinese
-
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.
