Advantages and pitfalls in the application of mixed-model association methods

被引：0
|
作者：
Jian Yang
Noah A Zaitlen
Michael E Goddard
Peter M Visscher
Alkes L Price
机构：
[1] Queensland Brain Institute,Department of Medicine
[2] University of Queensland,Department of Epidemiology
[3] University of Queensland Diamantina Institute,Department of Biostatistics
[4] University of Queensland,undefined
[5] Princess Alexandra Hospital,undefined
[6] Lung Biology Center,undefined
[7] University of California,undefined
[8] San Francisco,undefined
[9] Faculty of Land and Food Resources,undefined
[10] University of Melbourne,undefined
[11] Harvard School of Public Health,undefined
[12] Harvard School of Public Health,undefined
[13] Program in Medical and Population Genetics,undefined
[14] Broad Institute of MIT and Harvard,undefined
来源：
Nature Genetics | 2014年 / 46卷
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学科分类号：
摘要：
Alkes Price, Peter Visscher and colleagues provide recommendations on the application of mixed-linear-model association methods across a range of study designs.
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收藏
页码：100 / 106
页数：6
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