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对遗传分析研讨会(GAW)第12组的贡献总结:多元方法

Summary of contributions to GAW Group 12: multivariate methods.

作者信息

de Andrade Mariza, Mendell Nancy R

机构信息

Division of Biostatistics, Department of Health Science Research, Mayo Clinic, Rochester, Minnesota 55905, USA.

出版信息

Genet Epidemiol. 2005;29 Suppl 1:S91-5. doi: 10.1002/gepi.20115.

Abstract

Here we summarize the contributions to Group 12 of Genetic Analysis Workshop (GAW) 14, held in Noordwijkerhout, The Netherlands. The theme of this group, multivariate methods, covered a broad range of statistical applications. Most of the contributors considered Problem 1 of the GAW. However, one paper considered the bivariate analysis of two binary phenotypes generated by the simulated data in Problem 2. Some contributors focused on statistical issues involved in considering multiple variables, and others on extensions to the variance-components methodology for analysis of quantitative traits. Applications to the Collaborative Study on the Genetics of Alcoholism data identified a single-nucleotide polymorphism (SNP) on chromosome 4 associated with the ttth1-ttth4 phenotypes, and replicated previous findings of linkage on chromosome 4 for alcohol consumption, using microsatellite and SNP data.

摘要

在此,我们总结在荷兰诺德韦克豪特举办的遗传分析研讨会(GAW)14第12组的研究成果。该组的主题是多变量方法,涵盖了广泛的统计应用。大多数参与者考虑了GAW的问题1。然而,有一篇论文考虑了问题2模拟数据生成的两种二元表型的双变量分析。一些参与者关注考虑多个变量时涉及的统计问题,另一些则关注数量性状分析中方差成分方法的扩展。对酒精中毒遗传学合作研究数据的应用,确定了4号染色体上一个与ttth1 - ttth4表型相关的单核苷酸多态性(SNP),并使用微卫星和SNP数据重复了先前关于4号染色体上饮酒相关连锁的研究结果。

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