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Ancestral haplotype-based association mapping with generalized linear mixed models accounting for stratification

机译:基于祖先单元型的关联映射与广义线性混合模型的分层

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摘要

In many situations, genome-wide association studies are performed in populations presenting stratification. Mixed models including a kinship matrix accounting for genetic relatedness among individuals have been shown to correct for population and/or family structure. Here we extend this methodology to generalized linear mixed models which properly model data under various distributions. In addition we perform association with ancestral haplotypes inferred using a hidden Markov model.
机译:在许多情况下,全基因组关联研究是在呈现分层的人群中进行的。包括亲属关系矩阵在内的混合模型证明了个体之间的遗传相关性,已经证明可以校正人口和/或家庭结构。在这里,我们将这种方法扩展到可以对各种分布下的数据进行适当建模的广义线性混合模型。此外,我们执行与使用隐马尔可夫模型推断的祖先单体型的关联。

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