An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations

被引：0
|
作者：
Vincent Segura
Bjarni J Vilhjálmsson
Alexander Platt
Arthur Korte
Ümit Seren
Quan Long
Magnus Nordborg
机构：
[1] Gregor Mendel Institute (GMI),Department of Molecular and Computational Biology
[2] Austrian Academy of Sciences,undefined
[3] Vienna,undefined
[4] Austria.,undefined
[5] Institut National de la Recherche Agronomique (INRA),undefined
[6] UR0588,undefined
[7] Orléans,undefined
[8] France.,undefined
[9] University of Southern California,undefined
来源：
Nature Genetics | 2012年 / 44卷
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摘要：
Magnus Nordborg and colleagues report a multi-locus mixed-model method (MLMM) for genome-wide association studies in structured populations. Their simulations show that MLMM offers increased power and a reduced false discovery rate, and applications to both human and Arabidopsis thaliana data sets identify new associations and allelic heterogeneity.
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页码：825 / 830
页数：5
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