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Pharmacogenomic and Statistical Analysis.
Bai, Haimeng; Zhang, Xueyi; Bush, William S.
Afiliación
  • Bai H; Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA.
  • Zhang X; Department of Nutrition, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
  • Bush WS; Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA.
Methods Mol Biol ; 2629: 305-330, 2023.
Article en En | MEDLINE | ID: mdl-36929083
Genetic variants can alter response to drugs and other therapeutic interventions. The study of this phenomenon, called pharmacogenomics, is similar in many ways to other types of genetic studies but has distinct methodological and statistical considerations. Genetic variants involved in the processing of exogenous compounds exhibit great diversity and complexity, and the phenotypes studied in pharmacogenomics are also more complex than typical genetic studies. In this chapter, we review basic concepts in pharmacogenomic study designs, data generation techniques, statistical analysis approaches, and commonly used methods and briefly discuss the ultimate translation of findings to clinical care.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Farmacogenética / Proyectos de Investigación Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Farmacogenética / Proyectos de Investigación Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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