On the use of multifactor dimensionality reduction (MDR) and classification and regression tree (CART) to identify haplotype-haplotype interactions in genetic studies

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題名:	On the use of multifactor dimensionality reduction (MDR) and classification and regression tree (CART) to identify haplotype-haplotype interactions in genetic studies
作者:	Hsieh, Ai-Ru;CL, Hsiao;SW, Chang;HM, Wang;SJ, Fann Cathy
關鍵詞:	Gene–gene interaction;Haplotype;MDR;CART
日期:	2011-02
上傳時間:	2019-09-24 12:11:00 (UTC+8)
出版者:	ELSEVIER
摘要:	Haplotype-based approaches may have greater power than single-locus analyses when the SNPs are in strong linkage disequilibrium with the risk locus. To overcome potential complexities owing to large numbers of haplotypes in genetic studies, we evaluated two data mining approaches, multifactor dimensionality reduction (MDR) and classification and regression tree (CART), with the concept of haplotypes considering their haplotype uncertainty to detect haplotype–haplotype (HH) interactions. In evaluation of performance for detecting HH interactions, MDR had higher power than CART, but MDR gave a slightly higher type I error. Additionally, we performed an HH interaction analysis with a publicly available dataset of Parkinson's disease and confirmed previous findings that the RET proto-oncogene is associated with the disease. In this study, we showed that using HH interaction analysis is possible to assist researchers in gaining more insight into identifying genetic risk factors for complex diseases.
關聯:	Genomics 97(2), p.77-85
DOI:	10.1016/j.ygeno.2010.11.003
顯示於類別:	[統計學系暨研究所] 期刊論文

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