article Open AccessTop 10% cited
Robust relationship inference in genome-wide association studies
Bioinformatics · 2010 · Vol. 26(22) · pp. 2867–2873
Ani Manichaikul✉(University of Virginia)Josyf C. Mychaleckyj(University of Virginia)Stephen S. Rich(University of Minnesota)Kathleen Daly(University of Virginia)Michèle M. Sale(University of Virginia)Wei‐Min Chen(University of Minnesota)
Abstract
Our robust relationship inference algorithm is implemented in a freely available software package, KING, available for download at http://people.virginia.edu/∼wc9c/KING.
Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and AnimalsGenome-wide association studyInferencePopulation stratificationInternational HapMap ProjectPopulationGenetic associationComputer scienceBiologyGeneticsArtificial intelligence
MeSH terms
AlgorithmsGenotypeHumansPhenotypeGenome, HumanPolymorphism, Single NucleotidePopulation GroupsGenome-Wide Association Study
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