权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Comprehensive, context-aware, functional analysis of Cytochrome P450 variants

对细胞色素 P450 变体进行全面、情境感知的功能分析

基本信息

批准号：
10375437
负责人：
Maitreya J Dunham
金额：
$ 52.1万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-01 至 2024-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10375437
关键词：
Address Alleles Amino Acid Substitution Amino Acids Awareness Biochemical Biological Assay CYP1A1 gene CYP2C19 gene CYP2C9 gene CYP2D6 gene CYP3A4 gene Carcinogens Catalogs Cell Respiration Cells Chimera organism Clinical Complex Computational algorithm Conflict (Psychology)Copy Number Polymorphism Custom Cytochrome P450 Data Dependence Dose Engineering Environment Enzymes Family Foundations Gene Fusion Gene Library Genes Genetic Genetic Variation Genotype Goals Haplotypes Health Personnel Human Individual Large-Scale Sequencing Libraries Link Liver Malignant neoplasm of lung Measurement Measures Methods Mitotic Recombination Nicotine Patient-Focused Outcomes Patients Performance Persons Pharmaceutical Preparations Pharmacogenetics Pharmacogenomics Pharmacotherapy Physiological Population Positioning Attribute Proteins Research Personnel Scanning Sequence Analysis Site Smoking Behavior Source Substrate Specificity System Testing Therapeutic Agents Toxic Environmental Substances Toxicogenetics Uncertainty Variant Work Xenobiotics Yeasts adverse drug reaction cancer risk clinical sequencing effective therapy environmental agent enzyme activity gene discovery genetic variant genotyped patients human disease improved inter-individual variation multiplex assay mutation screening novel novel strategies personalized medicine precision drugs programs public database rare variant response variant of unknown significance

项目摘要

ABSTRACT Subject-to-subject variability in response to drugs and environmental agents creates a significant challenge for the safe and effective treatment of many human diseases. Pharmacogenomics seeks to address this challenge by linking drug response to patient genotypes at important loci, termed pharmacogenes, in order to better customize patient treatments. Cytochrome P450 (CYP) gene variation is a major contributor to adverse drug reactions resulting from alterations in a subject's ability to metabolize therapeutic agents and environmental toxins, relative to the population at large. Genetic variation in CYPs is extensive. For example, amongst 12 of the most important cytochrome P450 (CYP) genes, 10% of people carry at least one rare, potentially deleterious variant. Further complexity is introduced via complex alleles consisting of common variation plus linked rare variants, and by extensive copy number variation and gene fusions at these loci. Unfortunately, only a small number of variants have been unambiguously linked to alterations in drug/xenobiotic response. Clearly, new approaches are needed to annotate the consequences of the huge pool of variants of unknown significance, including those already identified by existing large-scale sequencing programs, and those that will be discovered as clinical sequencing becomes routine. We have developed a suite of methods to test all possible single substitutions at all amino acid residues in several CYP genes. In order to accomplish this, we use deep mutational scanning, a method we have developed that allows parallelized, quantitative measurements to be performed on libraries of genetic variants. We are in the midst of applying this approach to single site variants of CYP2C9 and CYP2D6. We propose to extend our work to include CYP2C19, the third prototypic CYP pharmacogene, CYP3A4, quantitatively the most important human liver drug metabolizing enzyme, CYP2A6, which metabolizes nicotine and modulates smoking behaviors and lung cancer risk, and CYP1A1, which bioactivates polycyclic heteroaromatic carcinogens. These efforts, which span the major xenobiotic metabolizing CYP families (CYP1-3), constitute Aim 1. In Aim 2, we will evaluate more complex alleles, including novel chimeras, and in Aim 3 we will dissect the substrate-dependency of genetic variation, both efforts focusing on the drug-metabolizing CYP2 family. The result of this project will be a comprehensive, context aware, functional analysis of CYP variants that will lead to a deeper understanding of the consequences of genetic variation in these key pharmacogenes. We will also develop new, generalizable methods for generating complex variant libraries and for directly assessing the effects of enzyme variants in a multiplex fashion.

摘要