Univariate/Multivariate Genome-Wide Association Scans Using Data from Families and Unrelated Samples

Open Access

Peer-reviewed

Research Article

Lei Zhang,

Affiliations The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, People's Republic of China, School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
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Yu-Fang Pei,

Affiliations The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, People's Republic of China, School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
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Jian Li,

Affiliation School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
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Christopher J. Papasian,

Affiliation School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
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Hong-Wen Deng

* E-mail: hwdeng@mail.xjtu.edu.cn

Affiliations The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, People's Republic of China, Center of System Biomedical Sciences, Shanghai University of Science and Technology, Shanghai, People's Republic of China, School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
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Bivariate analysis
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Single nucleotide polymorphisms
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Test statistics
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Variant genotypes
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Genetics
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Genome-wide association studies
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Phenotypes
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Human families
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