Genetic architecture and evolution of complex traits across populations

不同人群的遗传结构和复杂性状的进化

• 批准号: DP220101947
• 负责人: Dr Jian Zeng
• 金额: $ 33.42万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-06-30 至 2025-06-29
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220101947
• 关键词: Genetic; architecture; evolution; complex; traits

Most human traits have a genetic component and display substantial diversity within and among populations. How natural selection changes and maintains genetic variation in human traits is a long-standing question in evolution that the proposed project aims to answer. Using innovative statistical methods and largest genomic “big” datasets ever across populations of different ancestral backgrounds, this project expects to generate new knowledge on the roles of natural selection in shaping the genetic variation in traits and identify key factors that drive the differentiation of human populations. These outcomes will significantly improve our understanding on the evolution of human traits and adaptation of populations to changing environments.

大多数人类特征都有遗传成分，并在种群内和种群之间显示出巨大的多样性。自然选择如何改变和维持人类性状的遗传变异是进化中一个长期存在的问题，该项目旨在回答这个问题。该项目使用创新的统计方法和有史以来最大的基因组“大”数据集，跨越不同祖先背景的人群，预计将产生关于自然选择在塑造性状遗传变异中的作用的新知识，并确定推动人类种群分化的关键因素。这些成果将大大提高我们对人类特征进化和人口适应不断变化的环境的理解。