A fast multi-locus random-SNP-effect EMMA for genome-wide association studies
نویسندگان
چکیده
1 State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China 2 Faculty of Applied Science, The University of British Columbia, Vancouver V6T 1Z4, Canada 3 School of Agriculture, Policy and Development at University of Reading, Reading RG6 6AR, United Kingdom 4 Statistical Genomics Lab, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China 5 Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA 17033-0850, USA
منابع مشابه
Methodological implementation of mixed linear models in multi-locus genome-wide association studies
The mixed linear model has been widely used in genome-wide association studies (GWAS), but its application to multi-locus GWAS analysis has not been explored and assessed. Here, we implemented a fast multi-locus random-SNP-effect EMMA (FASTmrEMMA) model for GWAS. The model is built on random single nucleotide polymorphism (SNP) effects and a new algorithm. This algorithm whitens the covariance ...
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