| Title: | Identification of potential Genetic and Environmental Risk Factors and risk factor Interactions in Brain Ageing related Diseases and Phenotypes |
| Lead Institution: | First Affiliated Hospital of Zhengzhou University |
| Principal investigator: |
Application 221671
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About
Current research has elucidated that the occurrence of brain ageing-related diseases and phenotypes is closely associated with various factors, among which genetics and environmental factors play pivotal roles. This study aims to identify the associations between multiple risk factors and brain ageing-related diseases (such as neurodegenerative diseases, cerebrovascular diseases, neuropsychiatric disorders, insomnia, headaches, etc.) and phenotypes (such as cognitive decline, reduced motor abilities, demyelination of cerebral white matter, brain atrophy, etc.), as well as the interactions between risk factors and genetics and the environment. Large cohort Genome-Wide Association studies have confirmed the significant role of genetic variants in brain ageing-related diseases and phenotypes. A series of multi-omics studies, including epidemiology, genomics, proteomics, metabolomics, and neuroimaging, has revealed the impact of environmental factors (pollutants, lifestyle, socio-economic status, etc.) on the brain ageing process. However, the interactions among risk factors, genetics, and the environment related to brain ageing diseases and phenotypes remain to be elucidated. We will extract multifactorial data from all participants in the UK Biobank and identify the risk factors for brain ageing-related diseases and phenotypes through statistical analyses (Linear regression, Logistic regression, Survival analysis, etc.), Phenome-Wide Association study, or Machine Learning methods. Concurrently, through genetic analyses (Whole-Genome Association studies, Whole-Exome Association studies, etc.), we aim to uncover the risk genes associated with brain ageing diseases and phenotypes, laying the foundation for further exploration of the interactions between disease and phenotype-related risk factors and genetics and the environment. In summary, by comprehensively investigating the associations between environmental factors, genetic variations, and various brain ageing-related diseases and phenotypes, we seek to elucidate the interactions among risk factors, genetics, and the environment related to brain ageing diseases and phenotypes. This study is expected to be completed within 12 months, during which a thorough and rigorous assessment of the broad risk factors and their association with brain ageing-related diseases and phenotypes will be conducted. The systematic integration of risk factors, genetic, and environmental information will help clarify the risk factors for brain ageing-related diseases and phenotypes and establish effective prevention targets.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 15993 | Exome sequencing identifies novel genes associated with cerebellar volume and microstructure | Yuanyuan Liang (+15) | 2025 | Communications Biology |
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