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

Population genomics of polygenic adaptation

多基因适应的群体基因组学

基本信息

批准号：
9279182
负责人：
Kevin R. Thornton
金额：
$ 29.19万
依托单位：
UNIVERSITY OF CALIFORNIA-IRVINE
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-16 至 2019-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9279182
关键词：
Affect Agriculture Area Complex Complex Genetic Trait DNA Resequencing Data Demography Disease Drosophila genus Equilibrium Evolution Eye Frequencies Gene Frequency Genes Genetic Genetic Drift Genetic Models Genetic Polymorphism Genetic Variation Genomics Genotype Heritability Human Insecticides Introns Licensing Light Link Location Maps Modeling Mutation Natural Selections Pattern Phenotype Play Population Population Genetics Procedures Process Property Quantitative Genetics Research Risk Role Sampling Shapes Site Theoretical model Thinking Time Variant Walking Work base case control computer based statistical methods design environmental change experience experimental study genetic approach genetic association genome wide association study genomic data insight mutant novel open source public health relevance simulation statistics theories tool trait whole genome

项目摘要

DESCRIPTION (provided by applicant): Quantitative models play a central role in understanding the impact of adaptive processes on shaping patterns of standing genetic variation (the number and frequencies of mutations in natural populations, with special regard to those contributing to heritable variation in traits. Understanding how observations on patterns of such variation relate to models helps us design and interpret genetic association studies intended to map mutations underlying this heritable variation. This project will integrate two historically separate areas of theoretical genetics into a common simulation framework in order to study the dynamics of the adaptive evolution of "complex" traits (those affected by multiple genes and environmental influences) in order to understand the implications of such models for the interpretation of population genomic data and the design of association studies. The broader relevance of the research is related to association studies, which attempt to map mutations leading to traits like the risk of heritable disease.

描述(由申请人提供)：定量模型在理解适应过程对形成长期遗传变异模式的影响(自然种群中突变的数量和频率，特别是那些对性状可遗传变异有贡献的群体)方面发挥着核心作用。了解对这种变异模式的观察如何与模型相关，有助于我们设计和解释旨在绘制这种可遗传变异背后的突变的遗传关联研究。这个项目将把两个历史上不同的理论遗传学领域整合到一个共同的模拟框架中，以研究“复杂”性状(受多个基因和环境影响的性状)适应性进化的动力学，以便理解这种模型对解释种群基因组数据和设计关联研究的意义。这项研究的更广泛的相关性与关联研究有关，这些研究试图绘制导致遗传病风险等特征的突变图谱。