| Title: | Integrating analyses of multidimensional exposures on complex diseases |
| Lead Institution: | Peking University |
| Principal investigator: |
Application 89514
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
About
Studies have suggested that the increasing complex diseases may be caused by a variety of factors such as genetic factors, environment, lifestyles and mental problems. However, most of the potential risk factors still await characterization, as the current studies face the challenges of sample size, representativeness, confounding bias and other limitations. Our study aims to figure out the causal relationships of environmental, lifestyle-related, psychological and genetic factors with complex diseases and then develop the risk assessment models for these complex diseases. Our study may benefit the identification of vulnerable individuals of complex diseases and improve the precise prevention.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 15052 | Phenome-wide Analysis of Diseases in Relation to Objectively Measured Sleep Traits and Comparison with Subjective Sleep Traits in 88,461 Adults | Yimeng Wang (+7) | 2025 | Health Data Science |
Enabling scientific discoveries that improve human health