Advantages and pitfalls in the application of mixed-model association methods.
Advantages and pitfalls in the application of mixed-model association methods.
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DOI：
10.1038/ng.2876
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发表时间：
2014-02
期刊：
影响因子：
30.8
通讯作者：
Price, Alkes L.
中科院分区：
文献类型：
--
作者：
Yang, Jian;Zaitlen, Noah A.;Goddard, Michael E.;Visscher, Peter M.;Price, Alkes L.
Mixed linear models are emerging as a method of choice for conducting genetic association studies in humans and other organisms. The advantages of mixed linear model association (MLMA) include preventing false-positive associations due to population or relatedness structure, and increasing power by applying a correction that is specific to this structure. An underappreciated point is that MLMA can also increase power in studies without sample structure, by implicitly conditioning on associated loci other than the candidate locus. Numerous variations on the standard MLMA approach have recently been published, with a focus on reducing computational cost. These advances provide researchers applying MLMA methods with many options to choose from, but we caution that MLMA methods are still subject to potential pitfalls. Here, we describe and quantify the advantages and pitfalls of MLMA methods as a function of study design, and provide recommendations for the application of these methods in practical settings.
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