| Application: | 36509, Role of vascular risk factors, genes and lifestyle in the risk of cerebrovascular disease, cognitive decline and dementia. |
| Title: | Network Efficiency Mediates the Relationship Between Vascular Burden and Cognitive Impairment |
| Size: | 5.3 MB |
| Archived: | 6 Apr 2021 |
| Stability: | Updateable |
| Personal: | Contains individual-level data |
Return 3282
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Notes
The purpose of our application is to elucidate the biological pathways through which the various markers of health and information available in the biobank dataset are linked with acute cerebrovascular events, magnetic resonance imaging features of cerebrovascular disease, cognitive decline and vascular dementia. It is known that vascular disease risk factors, such as smoking or diabetes, are related to cognitive performance. This paper investigates whether measurements of brain health derived from the MRI data, namely measures of how well the various areas of the brain are connected to each other, mediate the relationship between vascular risk factors and cognition. We found that there the relationship between cognition and risk factors are mediated by the brain network measures, which suggest that reducing vascular risk factors may preserve brain network connectivity and cognitive performance. This contributes to our understanding of how vascular risk factors contribute to cognitive decline.Application 36509
Role of vascular risk factors, genes and lifestyle in the risk of cerebrovascular disease, cognitive decline and dementia.
Cerebrovascular disease is a strong risk factor for cognitive decline and subsequently dementia. Vascular risk factors, genes and lifestyle have been associated with both cerebrovascular disease and cognitive decline, but the underlying pathophysiological mechanisms are complex. Our study aims to integrate and analyse the extensive clinical, epidemiological, genetic and imaging data available, in order to - elucidate the biological pathways through which the vascular, (novel) genetic and lifestyle factors interact and are linked with acute cerebrovascular events, magnetic resonance imaging features of cerebrovascular disease, cognitive decline and dementia - to what extend demographic characteristics and prescribed medication influence these relations An aim of UK Biobank is the reliable assessment of different causes of disease. The extensive clinical, epidemiological and genetic data available in UK Biobank provide the opportunity to increase our insight in the interplay and causality of different risk factors in the pathophysiological mechanisms underlying cerebrovascular disease or dementia. Previously, small sample sizes of typical cohort studies have limited the possibility to perform these analyses. We will test for associations between the risk We will test for associations between the risk factors of interests and the phenotypes under study. We aim to identify novel genetic risk variants for the phenotypes under study by performing genome-wide association studies and statistically more efficient methods including pleiotropy-based methods. In addition we will do a comprehensive computational assessment of how the risk factors of interest interact in influencing the phenotypes under study and explore any mediating relationships. Data from the full cohort will be required (both males and females).
| Lead investigator: | Professor Hugh Markus |
| Lead institution: | University of Cambridge |
3 related Returns
| Return ID | App ID | Description | Archive Date |
|---|---|---|---|
| 3866 | 36509 | Association of common genetic variants with brain microbleeds | 28 Sep 2021 |
| 3694 | 36509 | Genome-wide association study of MRI markers of cerebral small vessel disease in 42,310 participants | 29 Jul 2021 |
| 2320 | 36509 | Prevalence and Risk Factors of Cerebral Microbleeds | 9 Feb 2024 |
1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 3283 | Network Efficiency Mediates the Relationship Between Vascular Burden and Cognitive Impairment: A Diffusion Tensor Imaging Study in UK Biobank | Shen J et al. | 2020 | Stroke |
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