| Title: | Integration of genetic, omics, imaging, clinical and epidemiologic data to investigate chronic diseases and ageing |
| Lead Institution: | Zhejiang University |
| Principal investigator: |
Application 583028
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About
Chronic diseases such as cardiovascular diseases, chronic liver diseases, metabolic disorders and cancers, also known as noncommunicable diseases, are the major challenges to human health, accounting for 74% of all deaths globally. Beside the heavy mortality burden, chronic diseases share the similar mechanism with ageing, and the long existing of unhealth status accelerates the process of ageing, threatening longevity and quality of life. These diseases are usually the result of a combination of genetic, physiological, environmental, medical conditions and lifestyle factors, hence understanding and controlling these factors benefits diseases prevention. This project aims to investigate incidence, comorbidity and trajectory of chronic disease and ageing-related disorders from the perspective of genetic, omics, imaging, clinical and epidemiologic. Using data of over 500,000 individuals from the UK Biobank, we plan to conduct a three-year project by exploring the multi-dimension data and the specific aims are as follows: 1) systematically elucidate risk or modifiable factors related to the occurrence, progression, and prognosis of chronic diseases and ageing from the perspective of epidemiology, genetic predisposition, environmental exposures, medical conditions etc.; 2) clarify causality and explore interactions between genetic factors and environmental exposure in the context of chronic diseases and ageing, while identifying potential therapeutic targets using genetic data; 3) prompt understanding of biological mechanisms behind through molecular epidemiology, multi-omics and genetic analyses; 4) construct predicting and prognosis model using machine learning algorithms.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 15340 | Association between dietary amino acid intake and the risk of metabolic dysfunction-associated steatotic liver disease | Ruoqi Zhou (+8) | 2025 | Journal of Advanced Research |
Enabling scientific discoveries that improve human health