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Transmission-based association mapping of triglyceride levels in a longitudinal framework using quasi-likelihood

机译:在纵向框架中使用拟似然法的基于甘油三酸酯水平的基于传输的关联映射

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Complex genetic traits are often characterized by multiple quantitative phenotypes. Because values of such phenotypes vary over time, it is thought that analyses of longitudinal data on the phenotypes may lead to increased power in detecting genetic association. In this paper, we extend a transmission-based association test applying quasi-likelihood that has been developed by us to the longitudinal framework and to carry out a genome-wide association analysis of triglyceride levels based on the data provided in GAW20. We consider different phenotype definitions based on administration of fenofibrate and obtain significant association findings within genes involved in heart diseases.
机译:复杂的遗传性状通常以多种定量表型为特征。由于此类表型的值随时间变化,因此认为对表型的纵向数据进行分析可能会导致检测遗传关联的能力增强。在本文中,我们将应用我们开发的准似然性的基于传播的关联测试扩展到纵向框架,并根据GAW20提供的数据对甘油三酸酯水平进行全基因组关联分析。我们基于非诺贝特的给药考虑不同的表型定义,并在涉及心脏病的基因内获得重要的关联发现。

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