| Title: | Developing scalable computational tools for understanding polygenic trait architectures in large-scale genome-wide association studies |
| Lead Institution: | Xi'an Jiaotong University |
| Principal investigator: | Professor Shiquan Sun |
Application 67665
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About
Aims: To develop scalable statistical models/methods for understanding the architectures of polygenic traits. To reveal the risk factors or basis of human diseases. Scientific rationale: Several cohorts to date have typically been characterized by small numbers of disease cases, which may yield unstable estimates, incomplete or inadequate measures of potential risk factors, and incomplete or inadequate measures of confounding factors. The UK Biobank involves the largest group of people in the world, it will be a uniquely rich resource for investigating a particular disease. We will develop efficient statistical methods to validate the small cohorts studies we have done leveraging UK Biobank studies. This will help us to understand the causes of diseases better, and to find new ways to prevent and treat many different conditions. Project duration: 36 months (expected). Public health impact: We hope that our findings will explain the genetic/familial risk factors for common diseases; assess rare genetic variants and the small effect sizes of associations; well-address the interactions of genes with other disease risk factors, such as environmental exposures and diets; help to propose effective prevention strategies such as guidelines of lifestyles.3 Publications
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 10985 | Associations of socioeconomic status with infectious diseases mediated by lifestyle, environmental pollution and chronic comorbidities: a comprehensive evaluation based on UK Biobank | Xiangyu Ye (+7) | 2023 | Infectious Diseases of Poverty |
| 8350 | PGS-Depot: a comprehensive resource for polygenic scores constructed by summary statistics based methods | Chen Cao (+7) | 2023 | Nucleic Acids Research |
| 8792 | Unveiling inflammatory and prehypertrophic cell populations as key contributors to knee cartilage degeneration in osteoarthritis using multi-omics data integration | Yue Fan (+12) | 2024 | Annals of the Rheumatic Diseases |
Enabling scientific discoveries that improve human health