A genome-wide tree- and forest-based association analysis of comorbidity of alcoholism and smoking.
A genome-wide tree- and forest-based association analysis of comorbidity of alcoholism and smoking.
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DOI：
10.1186/1471-2156-6-s1-s135
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发表时间：
2005-12-30
期刊：
影响因子：
2.9
通讯作者：
Zhang H
中科院分区：
文献类型：
--
作者：
Ye Y;Zhong X;Zhang H
酗酒的遗传机制是复杂的。了解酒精依赖的病因及其共病条件，如吸烟是重要的，因为显着的健康问题。在这份报告中，我们描述了一种基于分类树和确定性森林的关联研究方法，对酗酒和吸烟进行全基因组联合关联分析。这种方法被用来分析单核苷酸多态性数据从遗传分析研讨会14酒精中毒遗传学的合作研究。我们的分析再次证实了酗酒的性别差异的重要性。我们的分析还确定了在其他酒精中毒研究中报道的基因，并确定了新的基因或单核苷酸多态性，这些基因或单核苷酸多态性可能是未来研究的有用候选者。
Genetic mechanisms underlying alcoholism are complex. Understanding the etiology of alcohol dependence and its comorbid conditions such as smoking is important because of the significant health concerns. In this report, we describe a method based on classification trees and deterministic forests for association studies to perform a genome-wide joint association analysis of alcoholism and smoking. This approach is used to analyze the single-nucleotide polymorphism data from the Collaborative Study on the Genetics of Alcoholism in the Genetic Analysis Workshop 14. Our analysis reaffirmed the importance of sex difference in alcoholism. Our analysis also identified genes that were reported in other studies of alcoholism and identified new genes or single-nucleotide polymorphisms that can be useful candidates for future studies.