Deciphering the genetic architecture of human complex traits

该项目旨在开发统计方法，整合身高和认知等复杂特征的遗传研究数据。分子表型，如大样本中的基因表达，将被用来预测这些性状的目标基因和调控元件。了解人类复杂特征的遗传基础对于人类和进化生物学中长期存在的问题至关重要。该项目还将检测自然选择在塑造复杂性状遗传变异方面的特征。该项目将更好地了解全球种群的复杂特征和人类进化史，并将开发适用于植物和动物环境的方法。

This project aims to develop statistical methods to integrate data from genetic studies of complex traits such as stature and cognition. Molecular phenotypes such as gene expression in large samples will be used to predict target genes and regulatory elements of those traits. Understanding the genetic basis of human complex traits is critical to longstanding questions in human and evolutionary biology. The project will also detect signatures of natural selection in shaping the genetic variation in complex traits. The project will provide better understanding of complex traits in global populations and the history of human evolution, and will develop methods applicable in plant and animal contexts.