Population genomics of polygenic adaptation

 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。

 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.