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Drug Response Pharmacogenetics for 200,000 UK Biobank Participants
- Source :
- PSB, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
- Publication Year :
- 2020
- Publisher :
- Cold Spring Harbor Laboratory, 2020.
-
Abstract
- Pharmacogenetics studies how genetic variation leads to variability in drug response. Guidelines for selecting the right drug and right dose to patients based on their genetics are clinically effective, but are still widely unused. For some drugs, the normal clinical decision making process may lead to the optimal dose of a drug that minimizes side effects and maximizes effectiveness. Without measurements of genotype, physicians and patients may observe and adjust dosage in a manner that reflects the underlying genetics. The emergence of genetic data linked to longitudinal clinical data in large biobanks offers an opportunity to confirm known pharmacogenetic interactions as well as discover novel associations by investigating outcomes from normal clinical practice. Here we use the UK Biobank to search for pharmacogenetic interactions among 200 drugs and 9 genes among 200,000 participants. We identify associations between pharmacogene phenotypes and drug maintenance dose as well as side effect incidence. We find support for several known drug-gene associations as well as novel pharmacogenetic interactions.
- Subjects :
- 0301 basic medicine
Drug
UK Biobank
Genotype
Side effect
media_common.quotation_subject
MEDLINE
030105 genetics & heredity
Bioinformatics
030226 pharmacology & pharmacy
Article
03 medical and health sciences
0302 clinical medicine
Drug response
Humans
Medicine
Biobank
Biological Specimen Banks
media_common
Drug maintenance dose
business.industry
Computational Biology
Genetic data
United Kingdom
Clinical Practice
Statistical Analysis
Pharmaceutical Preparations
Pharmacogenetics
Pharmacogenomics
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- PSB, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
- Accession number :
- edsair.doi.dedup.....f77a83684bc39501fd83b77cd0fde379