Abstract
People can respond differently to the same drug used to treat the same condition. Several reasons can account for the range of responses including taking multiple drugs at one time, multiple conditions, race, age, diet, weight, and genetics. This chapter explores how genetics can affect drug response. Knowledge of a patient’s genetic makeup may be used in decisions about drug selection and dosing in order to reduce the risk of side effects and improve the likelihood that a drug will work.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Resources
US National Library of Medicine. Medline Plus—Precision Medicine. Available at https://medlineplus.gov/genetics/understanding/precisionmedicine/
US National Library of Medicine. Medline Plus—What is Pharmacogenomics? Available at https://medlineplus.gov/genetics/understanding/genomicresearch/pharmacogenomics/
US National Human Genome Research Institute. Pharmacogenomics. Available at https://www.genome.gov/dna-day/15-ways/pharmacogenomics
US National Institute for General Medical Sciences. Medicines by Design. Available at https://www.nigms.nih.gov/education/Booklets/medicines-by-design/Pages/Home.aspx
US Centers for Disease Control and Prevention. Pharmacogenomics: What does it mean for your health? Available at https://www.cdc.gov/genomics/disease/pharma.htm
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Science+Business Media, LLC, part of Springer Nature
About this chapter
Cite this chapter
Haga, S.B. (2022). Will This Drug Work for You?. In: The Book of Genes and Genomes. Springer, New York, NY. https://doi.org/10.1007/978-0-387-70916-1_7
Download citation
DOI: https://doi.org/10.1007/978-0-387-70916-1_7
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-70915-4
Online ISBN: 978-0-387-70916-1
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)