全基因组关联研究是目前定位易感基因、探索遗传因素对复杂疾病影响最成功、最有效的方法。由于数据保密性的原因，全基因组关联研究的原始测序数据往往仅限于内部研究成员使用。但是，我们常常能获取全基因组关联研究的概括关联统计量（Summary Association Statistics）。概括关联统计量有容易获取、计算方便等优点，利用概括关联统计量进行深入挖掘成为了遗传统计学热门的研究课题。本项目以近视遗传学研究为背景以及突破点，以全基因组概括关联统计量为数据驱动，研究概括关联统计量的建模与统计推断问题，发展一套基于概括关联统计量的分析体系，帮助人们进一步认识复杂疾病的遗传机制。

Genome-wide association study is the most popular and successful approach for dissecting the genetics of complex disease. But, privacy concerns and other logistical considerations often restrict access to individual-level data. Nevertheless, summary association statistics are often readily available, and analyses of summary association statistics also offers the advantages in computational cost. These advantages have motivated the rapid development of statistical methods for deeply mining the summary association statistics. In this project, we are motivated by the summary association statistics and scientific problems arisen from the genetics study of myopia, aiming to study the statistical modeling and inference problems arisen from the summary association statistics. We will develop an analytical framework for complex disease based on the summary association statistics, helping understand the common physiological process and reveal the genetic architecture of complex disease in question.