Prediction of Disease and Phenotype Associations from Genome-Wide Association Studies

Open Access

Peer-reviewed

Research Article

Stephanie N. Lewis,

Affiliations Genetics, Bioinformatics, and Computational Biology Program, Virginia Tech, Blacksburg, Virginia, United States of America, Department of Biochemistry, Virginia Tech, Blacksburg, Virginia, United States of America
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Elaine Nsoesie,

Affiliation Genetics, Bioinformatics, and Computational Biology Program, Virginia Tech, Blacksburg, Virginia, United States of America
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Charles Weeks,

Affiliation Genetics, Bioinformatics, and Computational Biology Program, Virginia Tech, Blacksburg, Virginia, United States of America
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Dan Qiao,

Affiliation Department of Computer Science, Virginia Tech, Blacksburg, Virginia, United States of America
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Liqing Zhang

* E-mail: lzhang@systemsbiology.org

Affiliations Genetics, Bioinformatics, and Computational Biology Program, Virginia Tech, Blacksburg, Virginia, United States of America, Department of Computer Science, Virginia Tech, Blacksburg, Virginia, United States of America
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Genome-wide association studies
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Genetics of disease
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Single nucleotide polymorphisms
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Phenotypes
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Principal component analysis
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Coronary heart disease
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Diabetes mellitus
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Rheumatoid arthritis
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