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Mixed linear model approach adapted for genome-wide association studies
Nature Genetics · 2010 · Vol. 42(4) · pp. 355–360
Zhiwu Zhang✉(Cornell University)Elhan S. Ersoz(Cornell University)Chao‐Qiang Lai(Tufts University)Rory J. Todhunter(New York State College of Veterinary Medicine)Hemant K. Tiwari(University of Alabama at Birmingham)Michael A. Gore(Agricultural Research Service)Peter J. Bradbury(Ithaca College)Jianming Yu(Kansas State University)Donna K. Arnett(University of Alabama at Birmingham)José M. Ordovás(Tufts University)Edward S. Buckler(Cornell University)
Genetic Mapping and Diversity in Plants and AnimalsGenetic and phenotypic traits in livestockGenetics and Plant BreedingGenetic associationGenome-wide association studyBiologyLinear modelPopulationSoftwareGeneralized linear mixed modelVariance (accounting)Cluster analysisComputer science
MeSH terms
FamilyHumansSoftwareLinear ModelsPopulation GroupsGenome-Wide Association Study
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