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Population genetic structure of variable drug response
- Source :
- Nature Genetics. 29:265-269
- Publication Year :
- 2001
- Publisher :
- Springer Science and Business Media LLC, 2001.
-
Abstract
- Geographic patterns of genetic variation, including variation at drug metabolizing enzyme (DME) loci and drug targets, indicate that geographic structuring of inter-individual variation in drug response may occur frequently. This raises two questions: how to represent human population genetic structure in the evaluation of drug safety and efficacy, and how to relate this structure to drug response. We address these by (i) inferring the genetic structure present in a heterogeneous sample and (ii) comparing the distribution of DME variants across the inferred genetic clusters of individuals. We find that commonly used ethnic labels are both insufficient and inaccurate representations of the inferred genetic clusters, and that drug-metabolizing profiles, defined by the distribution of DME variants, differ significantly among the clusters. We note, however, that the complexity of human demographic history means that there is no obvious natural clustering scheme, nor an obvious appropriate degree of resolution. Our comparison of drug-metabolizing profiles across the inferred clusters establishes a framework for assessing the appropriate level of resolution in relating genetic structure to drug response.
- Subjects :
- Male
Multifactorial Inheritance
X Chromosome
Genotype
Demographic history
Population
Population genetics
Biology
Polymorphism, Single Nucleotide
Cytochrome P-450 Enzyme System
Gene Frequency
Genetic variation
Ethnicity
Genetics
Cluster Analysis
Humans
Genetic variability
education
Cluster analysis
education.field_of_study
Chi-Square Distribution
Racial Groups
Genetic Variation
Enzymes
Variation (linguistics)
Pharmaceutical Preparations
Chromosomes, Human, Pair 1
Pharmacogenetics
Evolutionary biology
Genetic structure
Oxidation-Reduction
Software
Microsatellite Repeats
Subjects
Details
- ISSN :
- 15461718 and 10614036
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Nature Genetics
- Accession number :
- edsair.doi.dedup.....218bd563e9f6dde703c9f36ce18e657d
- Full Text :
- https://doi.org/10.1038/ng761