This is a list of the current studies approved and undertaking research in the Data Portal. Studies listed below have all been through the DPUK application process, and are undertaking analysis to answer a wide-ranging variety of research questions.

The study list provides information on the study itself, as well as the PI and the cohorts involved in the study.

Study Reference Study Title  Study Summary  Principal Investigator  Lead Institution  Approved cohorts 

A001

Predictors of successful cognitive aging in European superagers (90+): a cross-platform investigation of research and real-world evidence The aim of this collaborative European cross-platform project is to construct a database of 85-90 + year olds to facilitate the understanding of successful ageing. The outcome of the creation of this database has extensive opportunities in creating prediction models not only in epidemiological dementia-related research but also for epidemiological health-related research across the entire lifespan. Sarah Bauermeister University of Oxford CFAS, ELSA, Generation Scotland, Whitehall II, Million Women, CaPS.

A002

Developing risk stratification models for identifying sub-groups of individuals who are at high risk of short-to-long term cognitive decline or dementia The aim of this work is to develop and apply statistical methods to DPUK cohorts to identify subgroups of individuals that are at high risk of rapid future cognitive decline. Statistical models will be developed using measurements of cognitive functioning, biomarkers and genetic data, providing insight into disease processes and predicting an individual's risk of cognitive decline before symptoms have developed. Brian Tom University of Cambridge ELSA, Generation Scotland, CFAS, CaPS, Whitehall II.

A003

Using longitudinal data from multiple studies for predicting Alzheimer’s disease The project objective is to make use of multiple population studies in the MRC Dementias Platform to better predict, from the evidence of the database and individual characteristics, whether a specified individual will develop Alzheimer’s disease within a given future period. The primary goal of this analysis is to support the efficient design of clinical trials Terry Lyons University of Oxford ELSA, Generation Scotland, Whitehall II.

A004

BMI and cognitive function: an investigation of its non linear association To identify the age at which the association between BMI and cognition changes direction. Knowing when the change occurs will be important for informing the development of accurate protocols for calculating dementia risk in different age groups. This is important for the development of intervention strategies focused on improvement/maintenance of cognitive function across different age groups. Catherine Calvin University of Edinburgh ELSA, Generation Scotland, Cam-CAN, Airwave, CHARIOT.

A006

Integration and analysis of heterogeneous big data for precision medicine and suggested treatments for different types of patients (IASIS) The main objectives are to design a unified conceptual schema to represent diverse sources of available data; build an adaptive system able to manage data and content collected incrementally; provide actionable knowledge about disease diagnosis, prognosis, and treatment to policy makers; promote cooperation among clinicians and policy makers; define privacy- and trust-aware strategies. Eleftherios Samaras St. George's, University of London Cam-CAN, ELSA, ICICLE-PD.

132

The longitudinal relationships between mental health and cognitive change: a cross-cohort multivariate growth curve modelling approach This study proposes to use existing mental health and cognitive data in five existing cohorts which have at least three longitudinal waves of data. Individual mental health disorders (e.g., depression, anxiety and stress) will be examined and the associations with overall cognition and individual cognitive domains will be explored through latent cognitive and mental health constructs. Sarah Bauermeister University of Oxford ELSA, Whitehall II, CFAS.

133

Applying latent change score modelling to assess individual differences in cognitive change over time The aims of this study are: first, to assess different cognitive tasks as cognitive performance indicators of individual cognitive change and, second, to understand the other associative phenotypic indicators of cognitive change using latent change score modeling. Sarah Bauermeister University of Oxford ELSA, Whitehall II, CFAS.

136

DPUK Data Discovery Tools Categorisation and Coding Programme Dementias Platform UK (DPUK) proposes to develop its own Data Discovery Tools so that they become highly categorised, enabling researchers to more clearly identify cohorts which are applicable for their research proposals. This will be a data variable investigation, not an analytical investigation and no data will be analysed and no summary statistics will be computed. Sarah Bauermeister University of Oxford Airwave, Ample, BDR, Cam-CAN, CamPaIGn, CaPS, CFAS, CFAS II, DIAN, ELSA, EPIC Norfolk, Generation Scotland, GENFI, HWW, ICICLE-PD, Lewy Pro, Whitehall II, Track HD, SABRE, PROTECT, PRIME, PICNICS, OPDC Discovery, Nimrod, MRC NSHD.

140

Prevail Parkinson's Disease Natural History Prevail Therapeutics aims at developing gene therapy for Parkinson's disease. The current study aims at improving and refining our knowledge of the natural history of the disease, to design more efficient clinical trials and increase the odds of providing a cure for this disease. Hervé Rhinn Prevail Therapeutics, New York CamPaIGN, ICICLE-PD, PICNICS.

143

Associations between childhood hormonal indicators, adult hormones, mental health and cognition: A UK Biobank and DPUK cross-cohort study By using existing population cohorts with retrospective proxy measures of early childhood hormonal proxy indicators, this study will explore an extrapolated childhood hormone level, adult mental health, adult hormone level and cognitive performance to investigate the associations and interactions between these variables whilst controlling for co-variates such as social deprivation, age and medications. Sarah Bauermeister University of Oxford MRC NSHD, UK Biobank, Whitehall II.

144

Effect of childhood adversity on adulthood behavioural, psychological, cognitive and health outcomes: The main aim of this study is to investigate associations between adverse childhood experiences and adult behavioural, psychological, cognitive and health outcomes, using self-report retrospective data across three population cohorts. This study will be followed by a birth-cohort study using ALSPAC data. Sarah Bauermeister University of Oxford ELSA, UK Biobank, MRC NSHD, Whitehall II.

145

Brains for Dementia Research - Curation, and analysis of data. We wish to "curate" the BDR data set, i.e. create usable datasets going forward for other researchers, as discussed in the BDR meeting in Cardiff. This will allow other users of the BDR dataset in the future to be able to access the data through the data portal in the best possible way. Georgina Menzies Cardiff University BDR

146

Investigating the longitudinal associations between earlier adult lifestyle activities, physical fitness, social engagement, biomedical health, mental wellness and later-life cognition: Investigating cognitive preserve and reserve in the ELSA population cohort. This study proposes to conduct multiple individual analyses to investigate associations between lifestyle activities, physical fitness, social engagement, biomedical measures, mental health on the longitudinal outcome of later life cognition in the population cohort, ELSA. Andrey Kormilitzin University of Oxford ELSA

147

Harmonising large-scale imaging databases to provide integrated assessments of the role of white matter hyperintensities in cognitive aging This study aims to develop and refine tools for harmonising measurements of white matter hyperintensities (WMH) in existing DPUK cohorts. This will permit an assessment of replicability of WMH measurements across studies, and an analysis of the relationship of WMH to demographic and cognitive variables. The harmonised WMH measures will be delivered back on the DPUK portal, and the harmonisation tools will be made available as a DPUK App. Ludovica Griffanti University of Oxford UK Biobank, Whitehall II - Imaging variables.

149

The role of metabolic and cardiovascular disease and treatments in cognitive decline The aim of this study is to investigate the role of Cardiovascular and metabolic diseases (M/C-D) and treatments on cognitive decline. It remains to be determined (1) Whether controlling M/C-D as a whole alters cognitive decline; (2) Whether known medications for M/C-D modify cognitive decline and (3) whether surrogate or proxies for M/C-D alters cognitive decline. Danielle Newby University of Oxford ELSA, CaPS, Whitehall II.

152

Characterizing associations between apolipoprotein (APOE) e4 genotype and accelerated brain aging The central research question of this study is whether new tools developed by the study Principal Investigator for measuring brain structure can improve understanding of links between brain structure and the APOE e4 allele, using the Lothian Birth Cohort 1936 (LBC1936) dataset. Christopher Madan Nottingham University LBC1936

156

Identifying reliable change using cognitive tests in ageing and dementias research. The primary aim of this study is to more accurately characterize individual level change in cognitive functions. This study proposes to apply IRT methods from the field of psychometrics to cognitive functioning and ability data from cohort studies of dementia. The methodologies proposed are uniquely suited to the study of reliable individual level change. Tom Booth University of Edinburgh CamPaIGN, ELSA, ICICLE-PD, CFAS and CFAS II, LBC 1936, CaPS.

157

Exploring the associations between Mediterranean diet adherence and cognitive function, brain imaging parameters, and dementia incidence in a UK cohort This research will further DPUK’s aims of identifying dementia prevention strategies by helping understand if a Mediterranean diet, or individual food components of this diet, improve cognition function and reduce dementia risk. Moreover, the research findings will assist the design of future intervention studies that target healthy brain ageing by identifying specific MedDiet components to prioritise. Mario Siervo Newcastle University Whitehall II

158

Have we overestimated the impact of vascular factors on the declining incidence of dementia? DPUK-NIA cross-cohort collaboration This proposal aims to investigate how much impact vascular factors have had on the current declining trend of dementia incidence in the UK and US. Chi-Hun Kim University of Oxford ELSA, Whitehall II, CaPS.

159

Effects of mental health status on putative biomarkers of cognitive decline It is well established that psychiatric symptoms are associated with cognitive decline and neural degeneration in older age. This study aims to evaluate this association by looking at the associations between mental health status, biological indicators of stress reactivity, cognitive status, cognitive function and brain structure and function. Delia Alexandra Gheorghe University of Oxford Whitehall II

162

Socioeconomic inequalities, cognitive reserve and dementia (SICRAD) – Dementia Platform UK (DPUK) This project intends to investigate the socioeconomic inequalities influencing cognitive reserve and apply recent methodological and statistical advancements to reach two distinct objectives in a large-scale data through DPUK. Dorina Cadar University College London ELSA

169

Using Item Response Theory (IRT) and Computer Adaptive Testing (CAT) to process and analyse DPUK scale data: Improving the efficiency of self-report scale analysis and delivery in epidemiological research Using self-report scales (mental health, lifestyle, mood and quality-of-life scales) for detection of longitudinal change in epidemiological research is an effective and widely used method of data collection. However, few scales are designed for epidemiological use and are psychometrically inefficient. Using CTT to analyse scales has some limitations such as providing only a single metric, total score. This study proposes to use IRT to scale data. Sarah Bauermeister University of Oxford Whitehall II, Airwave, MRC NSHD.

170

Adult trajectories of inflammatory and cognitive change from mid to late life: A cross-cohort comparison study The principal aim of this study is to investigate whether within-individual change in the inflammatory biomarker C-reactive protein, in longitudinal follow-up, helps to predict later cognitive function, cognitive trajectories, and, dementia risk. Secondary aims are to test whether these associations are more present in particular age groups, and/or genetic risk groups (i.e. APOE e4 carriers). Catherine Calvin University of Oxford ELSA, MRC NSHD, Whitehall II, Airwave, CaPS.

174

Parkinson's Disease ACE Simulator (3) The goal of this study is to develop multivariate equations that characterize the risk and rate of long-term disease progression. The equations developed by analyzing the datasets, and inputs obtained from other data sources, will then be used to support the development of an individual patient simulation that simulates the clinical progression of Parkinson's Disease, accounts for quality of life, and can predict long term (e.g., lifetime) health outcomes and costs. Alex Ward Evidera Pharamaceuticals, Bethseda, MD, USA. ICICLE-PD

179

Thromboembolic Events The aim is to quantify the attributable risk of Ig independent of, and in interaction with, traditional risk factors. Once this is completed, the aim is to create a simple scoring system that allows clinicians to summarise the overall risk of myocardial infarction, stroke, and transient ischaemic attacks in neurology outpatients, similar to the CHADSVASC2 score widely used. Mahima Kapoor University College London OPDC Discovery

181

The multiple dimensions of ageing well: Characterising the health and well-being profiles of older adults using physical, psychological, cognitive, functional, and social measures The objective of this study is to characterise the health and well-being profiles of older adults using physical health, functional status, mental health, cognition and social engagement data from three existing cohorts. It will then be investigated whether these profiles are differentially associated with sociodemographic and lifestyle factors, and whether they predict health outcomes such as incident dementia, chronic disease and mortality. Ruby Tsang University of Oxford CaPs, ELSA, NSHD, UK Biobank, Whitehall II.

182

Genetic characterisation of neuropsychiatric symptoms in Alzheimer's disease The overall aim of this project is to identify and characterise genetic risk for neuropsychiatric symptoms using the largest data set in the world. Specifically, the study aims to: Determine the genetic overlap between AD-P and other clinical and non-clinical putative associated phenotypes; Identify novel loci associated with AD-P by conducting the largest ever GWAS in a total sample of over 10,000. Byron Creese University of Exeter BDR

184

Assessment of the role of common genetic variants for Alzheimer’s disease on clinical characteristics within the Brains for Dementia Research cohort The overarching aim of this proposal is to explore the clinical and neuropathological outcomes of a high genetic burden for dementia in the Brains for Dementia Research (BDR) cohort. The results of this study will provide further information regarding the complex interplay of genetic risk, clinical presentation and neuropathological burden. Eilis Hannon University of Exeter BDR

185

Life course social- and biomedical risk factors for cognitive and physical health in later life This project aims to examine whether experiencing poorer physical and cognitive health in the second half of life is accelerated by specific life course trajectories, such as socioeconomic conditions during life. Bernadette van der Linden University of Geneva MRC NSHD, Whitehall II.

186

Stratifying Resilience and Depression Longitudinally Progress in understanding the pathophysiology of depression has been severely restricted by its aetiological heterogeneity. Our contention is that longitudinal and quantitative assessment of individuals stratified by key exposures and course modifiers will reduce dilution across diverse aetiologies, measurement error and capture more of the biological variation. It will thus enable the genetic and neurobiological mechanisms underlying enduring resilience, depressive symptoms and depression to be determined. Andrew McIntosh University of Edinburgh Airwave

189

The Airwave Health Monitoring Study (AHMS) of the British Police Forces The objectives of this study are both to extend the follow-up of the Airwave Health Monitoring Study (AHMS) to Scotland and Wales, and to provide a resource for studying how gender, lifestyle, and occupational exposures interact with genetic and metabolic factors in relation to physical and mental health. Martie van Tongeren University of Manchester Airwave

191

Predicting different risk subgroups of developing dementia and cognitive impairment in longitudinal cohorts – doubly robust survival trees method The current project plans to apply doubly robust survival trees method to predict subgroups with different risk of developing dementia and to identify predictors for each subgroups. Public health policies can prioritise high-risk groups for resource allocation and risk management. Scientists can conduct further studies to investigate biological and social mechanisms clustering the different risk subgroups. Chi-Hun Kim University of Oxford ELSA

192

Cognitive reserve as a protective factor in Parkinson's and Huntington's disease The aim of the current project is to examine the effect of cognitive reserve on cognitive impairment in both Huntington’s (HD) and Parkinson’s disease (PD). More specifically, we will test whether cognitive reserve has a neuroprotective role in cognitive impairment and whether this can be generalised across two different types of dementia. Marina Papoutsi University College London TRACK HD

194

The Airwave Health Monitoring Study (AHMS). An Occupational Cohort Study of the British Police Forces. The Aim of the present proposal is to greatly enhance the Airwave Health Monitoring Study (AHMS) occupational cohort of police officers and staff as a major resource for studying the health and well-being of the British police forces. Evangelia Demou University of Glasgow Airwave

195

How does alcohol intake influence diet quality and contribute to cardio metabolic risk in a UK population? The aims of this study are: to explore the association between dietary pattern and risk factors of CVD in a large UK population cohort; capture alcohol consumption in a large UK population cohort; explore the association between diet quality and alcohol consumption; within measures of alcohol consumption, explore the relationship between alcohol consumption and risk factors of CVD; explore the association between alcohol consumption, diet quality and variance in the genome in a large UK cohort. Jennifer Griffin Imperial College London Airwave

197

The association of diet quality, body composition and cardiometabolic risk in UK population This PHD project will explore the correlation between diet quality, body composition (across different ranges of body mass index) and future cardiometabolic risk.. Diet quality will be studied using 7-day diaries and will be defined using DASH score. Future risk of CMS will be mainly defined using metabolic syndrome severity score. Body composition independent of BMI will be associated with future risk of cardiometabolic syndrome in order to have a better understanding of the effect of waist circumference and the total percentage of body fat on the future risk of cardiometabolic syndrome development. Dana Hajjar Imperial College London Airwave

199

Can diet influence genetic risk in abdominal adiposity and the risk of hyperglycemia This study will measure the effect of diet on gene translation regarding central obesity and the risk of IGT and T2D. In addition to introducing new methods in diabetes care and early detection and prediction of populations under high risk, aiming to reduce the incidence and the burden of diabetes and its complication. Anwar AlBaloul Imperial College London Airwave

201

Healthcare utilisation in early and late onset dementia The current focus of healthcare services, such as hospitals and care homes, being on people with Late Onset Dementia. This study aims to expand on these findings and assess the frequency and reasons for health service use (hospitals, emergency departments, care home, day centres) by people with Early Onset Dementia. Paraskevi Zafeiridi Queens University Belfast BDR, PRIME, Whitehall II.

202

Clinical and neuropathological diagnosis mismatch The aim of the study is perform a comprehensive clinicopathological study of BDR donations to investigate the agreement between clinical and neuropathological diagnosis and the sensitivity differences in different disease subtypes. Kirsty McAleese Newcastle University BDR

205

Depression and Cardiometabolic Abnormalities as Potential Risk Factors for Dementia The project investigates the prospective relationship of depression and cardiometabolic abnormalities (central obesity, raised triglycerides, low HDL cholesterol, hypertension, hyperglycemia, type 2 diabetes and increased inflammation) with risk of dementia. The study also includes investigation of potentially modifiable risk factors for dementia and design of a holistic risk prediction model for dementia. Panagiota Kontari University of Surrey Whitehall II, CaPS.

206

Cross-sectional investigation of diurnal eating patterns and cardiometabolic health This research will define diurnal eating patterns (i.e., based on energy distribution recorded in pre-defined eating occasions) in the Airwave Health Monitoring Study using 7-dietary records, and determine whether, and to what extent, specific diet patterns show associations health by relating the patterns to cardiometabolic biomarkers (incl. HbA1c, LDL, HDL, CRP), blood pressure, and body composition (% body fat from bio-electrical impedance). Rachel Gibson King's College London Airwave

207

The Influence of Polyphenol Consumption and Metabolism on Measures of Brain Structure and Function Associated with Cognitive Decline We intend to investigate the impact of varied dietary consumption of polyphenols, and subsequent polyphenol metabolism, on measures of cognitive health (including mental health descriptors such as depression) derived from cognitive tests and magnetic resonance imaging (MRI)-derived structural/functional phenotypes related to dementia. Elliott Dryer-Beers Imperial College London Airwave

208

Refining risk factors for depression during Alzheimer's Disease This study proposes to: 1) Characterise individuals in the BDR cohort who develop depression during AD by examining known risk factors for depression in the general population e.g socioeconomic status, stressful life events, use of alcohol/illicit drugs, concomitant physical illness and history of mental health problems. 2) Calculate the odds ratio of developing depression during AD for the lowest and highest quartile of polygenic risk score for depression. Lindsey Sinclair University of Bristol BDR

210

Cortical diffusion investigation in Dementias (3) In this proposal, we want to study the neural architecture changes across a range of stages of Dementia, using an MRI index of microstructural change in the brain tissue, obtained by a novel Diffusion tensor imaging (DTI) analysis. This new MRI DTI method is applied to Grey Matter in order to investigate the regularities in cortical organization that are linked to the arrangement of cells and neurites. Mario Torso University of Oxford NIMROD, Cam-CAN.

212

Robust training of recurrent neural networks to test the mental comorbid disorders of cognition: a UK Biobank and DPUK cross-cohort investigation The aim of the study is to examine the role of anxiety and depression as comorbid disorders of cognition. This study will apply a sequence learning based machine learning techniques to jointly model the longitudinal data and offer an alternative continuous, non-parametric test of mental comorbid disorders. Chenlu Li University of Oxford ELSA

213

Associations between coffee, coffee (poly)phenols and cardiovascular disease risk factors The aim of this research is to investigate the associations between coffee and coffee (poly)phenols and CVD risk factors. It is hypothesised that consumption of coffee (poly)phenols will be inversely associated with CVD risk factors. The objectives are to 1) to estimate coffee intake and hence coffee chlorogenic acid intake and 2) to associate coffee and coffee chlorogenic acids with CVD and its risk factors in this cohort. Charlotte Mills University of Reading Airwave