| Title: | Identifying the association factors and causal determinants in metabolic diseases |
| Lead Institution: | Wuhan University |
| Principal investigator: | Professor Hongliang Li |
Application 77195
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About
Metabolic diseases are common contributors to serious health implications, including cardiovascular disease and cancers. The pandemic of metabolic diseases are driven by forces that include rapid urbanization, unhealthy dietary and lifestyles change, environmental pollution, and population aging. UKbiobank, this large multidimensional database comprising both genetic and nongenetic health information is extremely useful for the identification of factors are associated with many metabolic diseases, such as nonalcoholic fatty liver disease (NAFLD) and long-term prognosis. More importantly, leveraging the genetic information in UKbiobank and Mendelian randomization analysis, we are able to examine the causal effect of exposure on metabolic disease in observational studies. In this study, we first will explore the association of dietary factor, sleeping patten, lifestyle, environment and genetic risk factors or epigenomic modifications with metabolic diseases; Second, we will develop and validate risk scores integrating genetic and non-genetic risk factors to predict the development of metabolic diseases and outcomes; Third, we will use genetic information as an instrumental variable to examine the causal effect of a modifiable exposure on metabolic diseases and the development of metabolic diseases and outcomes. Duration: this project will take approximately two years to complete.4 Publications
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 11707 | Artificial sweeteners and risk of incident cardiovascular disease and mortality: evidence from UK Biobank | Tao Sun (+13) | 2024 | Cardiovascular Diabetology |
| 8300 | Association between questionnaire-based and accelerometer-based physical activity and the incidence of chronic kidney disease using data from UK Biobank: a prospective cohort study | Xingyuan Zhang (+11) | 2023 | EClinicalMedicine |
| 12793 | Associations between leisure-time physical activity and the prevalence and incidence of osteoporosis disease: Cross-sectional and prospective findings from the UK biobank | Yuanyuan Cao (+13) | 2024 | Bone |
| 13018 | Cardiovascular health and cancer mortality: evidence from US NHANES and UK Biobank cohort studies | Lijin Lin (+12) | 2024 | BMC Medicine |
Enabling scientific discoveries that improve human health