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药物基因组学与统计分析

Pharmacogenomic and Statistical Analysis.

作者信息

Bai Haimeng, Zhang Xueyi, Bush William S

机构信息

Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA.

Department of Nutrition, Case Western Reserve University School of Medicine, Cleveland, OH, USA.

出版信息

Methods Mol Biol. 2023;2629:305-330. doi: 10.1007/978-1-0716-2986-4_14.

Abstract

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.

摘要

基因变异可改变对药物和其他治疗干预的反应。对这一现象的研究称为药物基因组学,在许多方面与其他类型的基因研究相似,但有独特的方法学和统计学考量。参与外源性化合物代谢的基因变异表现出极大的多样性和复杂性,而且药物基因组学研究的表型也比典型的基因研究更为复杂。在本章中,我们回顾药物基因组学研究设计、数据生成技术、统计分析方法以及常用方法的基本概念,并简要讨论研究结果最终转化为临床医疗的情况。

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