A multiple-phenotype imputation method for genetic studies

被引：0
作者：
Andrew Dahl
Valentina Iotchkova
Amelie Baud
Åsa Johansson
Ulf Gyllensten
Nicole Soranzo
Richard Mott
Andreas Kranis
Jonathan Marchini
机构：
[1] Wellcome Trust Centre for Human Genetics,Department of Immunology
[2] University of Oxford,Department of Statistics
[3] Human Genetics,undefined
[4] Wellcome Trust Sanger Institute,undefined
[5] Wellcome Trust Genome Campus,undefined
[6] European Bioinformatics Institute (EMBL-EBI),undefined
[7] Wellcome Trust Genome Campus,undefined
[8] Genetics and Pathology,undefined
[9] Science for Life Laboratory Uppsala,undefined
[10] Uppsala University,undefined
[11] Aviagen,undefined
[12] Ltd.,undefined
[13] Roslin Institute,undefined
[14] University of Edinburgh,undefined
[15] University of Oxford,undefined
来源：
Nature Genetics | 2016年 / 48卷
关键词：
D O I：
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学科分类号：
摘要：
Andy Dahl and colleagues present a method for imputing missing phenotype data in genetic studies with multiple correlated phenotypes where samples can have any level of relatedness. They apply their method to simulated and real data sets and show that it improves the sensitivity to detect association signals.
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页码：466 / 472
页数：6
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