We provide a view on high-dimensional statistical inference for genome-wide association studies. It is in part a review but covers also new developments for meta analysis with multiple studies and novel software in terms of an R-package hierinf. Inference and assessment of significance is based on very high-dimensional multivariate (generalized) linear models: in contrast to often used marginal approaches, this provides a step towards more causal-oriented inference.

中文翻译：

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全基因组关联研究的层次推理：软件方法论的观点

我们为全基因组关联研究提供了高维统计推断的观点。这在某种程度上是一个检讨，但也涵盖在一个方面有多项研究和新软件Meta分析的新发展[R -package hierinf。重要性的推断和评估是基于非常高维的多元（广义）线性模型：与常用的边际方法相反，这为朝着因果关系的推断迈出了一步。