| Title: | The association of metabolic trajectory with cardiovascular events, cancers events and all-cause death based on cohort study and Mendelian randomization study |
| Lead Institution: | Capital Medical University |
| Principal investigator: | Professor Youxin Wang |
Application 65711
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About
Accelerated urbanization caused by rapid economic development has brought about a series of unhealthy lifestyle changes, such as lack of physical activities, unhealthy diet and stress, which may increase the risk of metabolic syndrome. The metabolic syndrome is closely related to the occurrence of cardiovascular events, and increases the risk of all-cause death, seriously endangering human life and health. Therefore, this study intends to investigate the influence of various trajectories of metabolic status on the incidence of cardiovascular diseases and all-cause mortality conducted by prospective cohort study design with trajectory model method and used the Mendelian randomized (MR) study method to infer the causal association between metabolic status and cardiovascular events, cancer or all-cause death. Based on the cohort study design, the study will be performed using the trajectory model method, which is used to assess the relationships between long-term exposure and outcome. A promising approach known as Mendelian randomization (MR), which uses inherited genetic variants as instrumental variables, provides stronger evidence for the causal effect of exposure on the diseases largely overcoming the traditional limitations due to confounding and reverse causality. In addition, a novel analytical framework was applied to evaluate the causal association between gene expression or DNA methylation levels and diseases that could minimize confounding and reverse causation through an MR approach integrating quantitative trait loci (QTL) and genome wide association study (GWAS) data. We plan to complete the project in 24 months. Early detection of individual metabolic status can provide new ideas for early prevention of chronic noncommunicable diseases and help to reduce the risk and burden of disease.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 11711 | Associations of metabolic changes and polygenic risk scores with cardiovascular outcomes and all-cause mortality across BMI categories: a prospective cohort study | Cancan Li (+7) | 2024 | Cardiovascular Diabetology |
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