Association Studies with Imputed Variants Using Expectation-Maximization Likelihood-Ratio Tests

Open Access

Peer-reviewed

Research Article

Kuan-Chieh Huang,

Affiliation Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America
⨯
Wei Sun,

Affiliations Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America, Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America
⨯
Ying Wu,

Affiliation Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America
⨯
Mengjie Chen,

Affiliations Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America, Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America
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Karen L. Mohlke,

Affiliation Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America
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Leslie A. Lange,

Affiliation Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America
⨯
Yun Li

* E-mail: yunli@med.unc.edu

Affiliations Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America, Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America, Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina, United States of America
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Genome-wide association studies
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Research errors
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Variant genotypes
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Simulation and modeling
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Probability distribution
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Single nucleotide polymorphisms
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Approximation methods
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