气候变化领域集成服务门户(CCPortal): A Method for Analyzing Two-Locus Epistasis of Complex Diseases Based on Decision Tree and Mutual Entropy

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DOI	10.2174/1570164616666190123150236
	A Method for Analyzing Two-Locus Epistasis of Complex Diseases Based on Decision Tree and Mutual Entropy
	Li, Xiong; Yang, Hui; Wen, Kaifu; Zhong, Xiaoming; Xia, Xuewen; Liu, Liyue; Qin, Dehao
发表日期	2019
ISSN	1570-1646
起始页码	366
结束页码	373
卷号	16 期号:5
英文摘要	Background: Epistasis makes complex diseases difficult to understand, especially when heterogeneity also exists. Heterogeneity of complex diseases makes the distribution of case population more confused. However, the traditional methods proposed to detect epistasis often ignore heterogeneity, resulting in low power of association studies. Methods: In this study, we firstly use rank information in the Classification Decision Tree and Mutual Entropy (CTME) to construct two different evaluation scores, namely multiple objectives. In addition, we improve the calculation of joint entropy between SNPs and disease label, which elevates the efficiency of CTME. Then. the ant colony algorithm is applied to search two-locus epistatic combination space. To handle the potential heterogeneity, all candidate two-locus SNPs are merged to recognize multiple different epistatic combinations. Finally, all these solutions are tested by chi(2) test. Results and Conclusion: Experiments show that our method CTME improves the power of association study. More importantly, CTME also detects multiple epistatic SNPs contributing to heterogeneity. The experimental results show that CTME has advantages on power and efficiency.
英文关键词	Complex diseases; epistasis; heterogeneity; data mining; entropy; association study
WOS研究方向	Biochemistry & Molecular Biology
WOS类目	Biochemical Research Methods ; Biochemistry & Molecular Biology
来源期刊	CURRENT PROTEOMICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/158811
作者单位	Li, X (corresponding author), East China Jiaotong Univ, Key Lab Adv Control & Optimizat Jiangxi Prov, Nanchang 330013, Jiangxi, Peoples R China.
推荐引用方式 GB/T 7714	Li, Xiong,Yang, Hui,Wen, Kaifu,et al. A Method for Analyzing Two-Locus Epistasis of Complex Diseases Based on Decision Tree and Mutual Entropy[J],2019,16(5).
APA	Li, Xiong.,Yang, Hui.,Wen, Kaifu.,Zhong, Xiaoming.,Xia, Xuewen.,...&Qin, Dehao.(2019).A Method for Analyzing Two-Locus Epistasis of Complex Diseases Based on Decision Tree and Mutual Entropy.CURRENT PROTEOMICS,16(5).
MLA	Li, Xiong,et al."A Method for Analyzing Two-Locus Epistasis of Complex Diseases Based on Decision Tree and Mutual Entropy".CURRENT PROTEOMICS 16.5(2019).