About
The project aims to integrate genetic, biomarker, brain imaging and cognitive/mood data to give a complete 'picture' of what predicts, mediates and moderates worse mental ability and mood disorder in UK Biobank, cross-sectionally and prospectively using follow-up data. We will research this question using UK Biobank cognitive test, brain MRI (structural and functional), biomarker (i.e. assay), mood-related and cognitive data, using formal tests of association, mediation and moderation. We will use the primary care and HES data in order to ascertain follow-up mood disorders. Our project meets UK Biobank?s stated purpose of improving the prevention, diagnosis and treatment of illnesses by identifying risk factors for lower cognitive ability and mood disorder; important risk factors for physical ill health, earlier mortality and lower quality of life. Insights from this work will lead to a better understanding of disease processes in cognitive decline and Alzheimer's disease (dementia) and mood disorders such as depression, including better approaches to diagnosis and ultimately the development of new treatments. The work will consist of using genome-wide association (GWA) data in the UK Biobank, together with environmental variables e.g. sociodemographics, and lifestyle variables e.g. health related behaviours like smoking status, alcohol intake etc., to test for independent associations with cognitive abilities and mood disorders, both at baseline and at follow-up, based on NHS record linkage. We will test for how these associations are mediated by brain MRI variables, and/or moderated by biomarker variables (e.g. lipid levels, inflammatory markers). The project will make full use of phenotypic, genetic, raw/derived brain MRI/fMRI and biomarker data in the full cohort (as and when each aspect becomes available).
7 Returns
| Return ID | App ID | Description | Archive Date |
|---|
| 3402 | 17689 | Alzheimer's Disease Susceptibility Gene Apolipoprotein E (APOE) and Blood Biomarkers in UK Biobank (N = 395,769) | 11 May 2021 |
| 2704 | 17689 | Assessing for interaction between APOE e4, sex, and lifestyle on cognitive abilities | 30 Oct 2020 |
| 2728 | 17689 | Association between APOE e4 and white matter hyperintensity volume, but not total brain volume or white matter integrity | 2 Nov 2020 |
| 3403 | 17689 | Association of systolic blood pressure and body mass index with cognitive and structural brain phenotypes in UK Biobank | 11 May 2021 |
| 3404 | 17689 | PCSK9 genetic variants and cognitive abilities: a large-scale Mendelian randomization study | 11 May 2021 |
| 2729 | 17689 | Social engagement after stroke - is it relevant to cognitive function? A cross-sectional analysis of UK Biobank data | 2 Nov 2020 |
| 2590 | 17689 | The associations between self-reported depression, self-reported chronic inflammatory conditions and cognitive abilities in UK Biobank | 27 Oct 2020 |
18 Publications
| Pub ID | Title | Author(s) | Year | Journal |
|---|
| 3405 | PCSK9 genetic variants and cognitive abilities: a large-scale Mendelian randomization study | Lyall DM et al. | 2021 | Arch Med Sci |
| 3403 | Alzheimer's Disease Susceptibility Gene Apolipoprotein E (APOE) and Blood Biomarkers in UK Biobank (N = 395,769). | Amy C Ferguson (+17) | 2020 | Journal of Alzheimer's Disease |
| 2705 | Assessing for interaction between APOE ε4, sex, and lifestyle on cognitive abilities | Lyall DM et al. | 2019 | Neurology |
| 2729 | Association between APOE e4 and white matter hyperintensity volume, but not total brain volume or white matter integrity | Donald M. Lyall (+13) | 2019 | Brain Imaging and Behavior |
| 3404 | Association of SBP and BMI with cognitive and structural brain phenotypes in UK Biobank | Ferguson AC et al. | 2020 | J Hypertens |
| 10703 | Associations of rheumatoid arthritis and rheumatoid factor with mental health, sleep and cognition characteristics in the UK Biobank | Ioana Stanciu (+4) | 2022 | Scientific Reports |
| 9391 | Consistent effects of the genetics of happiness across the lifespan and ancestries in multiple cohorts | Joey Ward (+11) | 2023 | Scientific Reports |
| 10230 | Genetic analysis of the PCSK9 locus in psychological, psychiatric, metabolic and cardiovascular traits in UK Biobank | Rachel Hay (+8) | 2022 | European Journal of Human Genetics |
| 8882 | Genetic variation in CADM2 as a link between psychological traits and obesity | Julia Morris (+23) | 2019 | Scientific Reports |
| 11734 | Head motion in the UK Biobank imaging subsample: longitudinal stability, associations with psychological and physical health, and risk of incomplete data | Joey Ward (+10) | 2024 | Brain Communications |
| 7438 | Polygenic Risk for Schizophrenia, Brain Structure, and Environmental Risk in UK Biobank | Xingxing Zhu (+6) | 2021 | Schizophrenia Bulletin Open |
| 12872 | Potential recruitment into a clinical trial of vascular secondary prevention medications in cerebral small vessel disease, based on concomitant medication use | Edward Morrison (+7) | 2021 | Cerebral Circulation - Cognition and Behavior |
| 10229 | Quantifying bias in psychological and physical health in the UK Biobank imaging sub-sample | Donald M. Lyall (+9) | 2022 | Brain Communications |
| 2730 | Social engagement after stroke - is it relevant to cognitive function? A cross-sectional analysis of UK Biobank data | Bogna A. Drozdowska (+3) | 2019 | AMRC Open Research |
| 12000 | Social engagement after stroke - is it relevant to cognitive function? A cross-sectional analysis of UK Biobank data | Bogna A. Drozdowska (+3) | 2019 | AMRC Open Research |
| 8118 | Testing for association between exonic glucagon-like peptide 1 receptor mutation with physical and brain health traits in UK Biobank | Joey Ward (+11) | 2022 | Diabetes Obesity and Metabolism |
| 11623 | Testing for associations between HbA1c levels, polygenic risk and brain health in UK Biobank (N = 39 283) | Sanskar Ranglani (+4) | 2023 | Diabetes Obesity and Metabolism |
| 2591 | The associations between self-reported depression, self-reported chronic inflammatory conditions and cognitive abilities in UK Biobank | Lyall LM et al. | 2019 | Eur Psychiatry |
