Last updated Jul 24, 2018
Recently approved research (2017-2018) with the UK Biobank resource is listed below by month of data release. Please click on the chart to enlarge it. You can search by keyword or year. You can also enter locations and researcher names into the search box to find the results you are looking for.
Approved Research
Statistical methods for discovery and validation of associations with cardiovascular and aging traits and their associated risk factors
Tags: 42614, aging, cardiovascular, featured, genetics/genotyping, Polygenic, risk factors, statistical methods
October 2018
Melatonin, lifestyle, and health: a gene-environmental investigation in the UK Biobank
Tags: 43015, cancer, cardiovascular, diabetes, featured, genetics/genotyping, lifestyle, melatonin
September 2018
Designing a resampling approach to control for population stratification in rare variant association tests
Interaction between physical activity, obesity and cardiovascular risk factors in modulating risk of arrhythmias
Omega-6 fatty acids, FADS1/2 genetic variants, and breast cancer risk: A Mendelian Randomisation Study
Define disease endotypes agnostic of conventional diagnostic classes
Exploring the relationship between body weight and cognitive functions across the lifespan using deep learning techniques
Application of Imiomics to whole-body MRI data for creation and application of a human imaging atlas
Tags: 14237, aging, body composition, cardiovascular disease, genetics, imiomics, Mendelian randomization
September 2018
Optimising neuroimaging biomarkers of brain ageing to identify genetic and environmental risk factors for poor brain health
iSTAGING (Imaging-based coordinate SysTem for AGing and NeurodeGenerative diseases)
Statistical genetics methods for complex traits using large-scale genomic data
SmartHeart: Next-generation cardiovascular healthcare via integrated image acquisition, reconstruction, analysis and learning
Application of deep learning for the characterisation of motion patterns in the heart
Dementia risk in South Asians: data from the UK
Phenotypic annotation of common SCZ risk variant combinations
Study of the genetic basis of mitral valve prolapse using meta-analysis of GWAS
Comparison of different genetic modeling methods for complex genetic conditions
Investigating the Aetiology of Oesophageal and Gastric Cancers:The Role of Hormones
Magnetic resonance image properties of the substantia nigra and other brain regions among smokers
Phenome-Wide Association Studies to inform therapeutic development at Novartis Institutes for Biomedical Research
Cardiovascular medication use for the primary and secondary prevention of cardiovascular disease in the UK: trends, determinants and lifestyle behaviours
On the genetic and environmental intersection of mental and physical health
Genetic heterogeneity of respiratory disorders
Predictors of successful cognitive ageing and well-being: impact of sleep, physical activity and neuromodulators on age-related changes in frontoparietal connectivity
Comprehensive genome-exposome-phenome association studies for complex diseases
Construction of Multi-dimensional Statistical Shape Model for a heart
Genetics of complex diseases, comorbidities, and other traits in multi-ethnic samples
Risk and protective factors for MRI markers of cerebral small vessel disease
Validation of heritability estimation software and subtyping algorithms in stroke, epilepsy, and Chronic Obstructive Pulmonary Disease (COPD) using UK BioBank electronic health record and genomic data
Efficient Gene-Environment Interaction Tests in Large Samples
Brain anatomy and substance use
Leveraging UK Biobank data to inform on genetics of epilepsy, psychosis and complications in kidney transplant
Genetic determinants of breast cancer prognosis and aggressivity – a phenome-wide association study
Exploring the effects of genome structural variation on human health and disease
Topic Modeling for Phenomewide Studies in Biobanks
Genetic analyses of age-of-onset in cerebral small vessel disease
Examining the causal relationship between health outcomes and socioeconomic status through Mendelian Randomization.
Statistical Method Development for Phenome-Wide Association Studies
Validating risk prediction equations for common cancers as possible tools to direct risk-adapted screening and prevention: a cohort study using the UK Biobank
Validating genomic trait prediction algorithms for commercial use with the UK Biobank resource
Identification of gene-environment interactions and causal pathways for obesogenic cardiometabolic diseases
Estimate the causal effect of asthma on risk of obesity using Mendelian randomization
Understanding the role of diet and lifestyle on obesity, cardiovascular health, cancer, mental health and cognitive function
Activity data as an input to EPSRC funded project ‘The Wearable Clinic: Connecting Health, Self and Care’
Associations between air quality, regional brain volumes, cognitive functioning, and neuropsychiatric outcome in middle-aged and older adults: a cross-sectional study
Tags: 41535, air pollution, bipolar disorder, brain morphology, cognition, depression, featured, neurodegeneration
August 2018
Thyroid Dysfunction and Women’s Cancer Risk
Gene-Environment Interplay in the Generation of Health and Education Inequalities (GEIGHEI)
Association tests for structured and multimodal data
Development and validation of a risk prediction model for oesophageal squamous cell carcinoma using cohort studies
Myeloproliferative neoplasms and clonal haematopoiesis
Developing Statistical Methods for Genetic and Imaging Studies of Substance Use and Dependence
Understanding the dose-response relationships between modifiable lifestyle behaviors & environment with chronic disease risk and mortality: Creating simple tools for improving public health
Refining polygenic score performance in diverse populations
The role of diabetes and glycemic traits in diabetic bone disease, utilizing both traditional and molecular epidemiological methods.
The association of sex steroid hormone levels with cancers of the pancreas, kidney, and brain in the U.K. Biobank
Understanding the biological, lifestyle and environmental risks and outcomes for multimorbidity in psychiatric disorders
Prediction models of health and wellness traits based on genetics, anthropometric, and clinical data
Low LDL cholesterol and mortality
Predictive Modeling of Age-related Macular Degeneration with Multimodal and Interpretable Convolutional Neural Networks
Method development and analysis of biobank imaging, behavioral and genetic data
Interstitial lung disease and Idiopathic pulmonary fibrosis, quality of life and physical activity
Workplace exposure to airborne particles and the association with diabetes and dementia in a large population cohort study
Tags: 42084, air pollution, airborne particles, cognition, Dementia, diabetes, featured, occupational
August 2018
Discovering the biological mechanisms underlying glaucoma and neurodegeneration by analysis of genetic and environmental determinants and associations with other systemic traits in the UK Biobank
Multimorbidity and dementia: an observational cohort study using the UK Biobank
Genetics of Vegetarianism
The genetic study of osteosarcopenic obesity
The role of serum-based small molecule antioxidants in preventing and predicting age-related phenotypes and respiratory cancer
Integrated predictive risk models using multimodal imaging and genetics
Tags: 35667, Computer Vision, deep learning, featured, longitudinal, multi-modality, prediction, whole-genome-sequencing
July 2018
Gene and environment association studies in HUNT and UK Biobank
Risk factors for cardiovascular disease in people with schizophrenia
Mediating mechanisms linking anthropometric, lifestyle and dietary risk factors with cancer risk
Development of a computational method to predict disease risk
Major risk factors for Cardiovascular Disease
Predicting longitudinal outcomes in chronic obstructive pulmonary disease
The role of cardiorespiratory fitness and physical behaviours in protecting against premature mortality
Dr Qing Lu, Developing Statistical Methods for Genetic and Imaging Studies of Substance Use and Dependence
Tags: 40967, Complex Traits, featured, GWAS, Imaging, neural network, substance dependence, substance use
July 2018
Dr Johan Verjans, Phenotyping cardiovascular disease using deep learning: Correlation of medical images, biomarkers and genetics to clinical outcome
Professor Melinda Mills, Exploring Selection in the UK Biobank
Professor Melinda Mills, Non-standard employment schedule resilience: A multifactorial approach
Dr Thomas Rohan, The association of type 2 diabetes and HbA1c with subsequent risk of cancer at different anatomical sites
Dr Laufey Amundadottir
Dr Samuel Mathias, Genetic and environmental risk factors for hearing difficulties
Dr Thomas Rohan, Body fat composition and risk of obesity-related cancers among adults with normal body mass index in the UK Biobank cohort
Dr Thomas Rohan, Interplay between lifestyle factors, genetics and risk of breast cancer among UK women
Dr Ryan Amelon, Classification and automatic detection of OCT layer segmentation failure modes
Tags: 41044, Convolutional-Neural-Network, deep learning, Failure-Modes, featured, Image-Quality, Layer-Segmentation, OCT
July 2018
Dr Matthew Robinson, Improving estimation and prediction of common complex disease risk
Tags: 35520, cardiovascular disease, Complex Traits, featured, genetics, metabolic-disease, psychiatric, risk factors
June 2018
Dr Guoying Yu, Assessment of rare variants of Mendelian genes in association with traits and/or disease phenotypes in UK Biobank
Future risk of cancer and cardiovascular disease in women who experience a hypertensive disorder of pregnancy, and its modification by a common, functional, IGF1R
Professor Simon Baron-Cohen, Genetic and phenotypic investigation of neural brain network connectivity
Professor Thomas Ploetz, Learning a Lexicon of Human Movements: Automated, data-driven detection of elementary movement units for objective, accurate and interpretable analysis of physical activities and human behavior
Dr Bevan Huang, Machine learning of disease incubation signatures
Professor Christian Wachinger, Joint analysis of abdominal and cerebral morphology in diabetes
Dr Anthony Laverty,
Professor Darren Ashcroft, Examining the characteristics of patients with psoriasis and its association with major comorbid conditions: cross-sectional study
Dr Steven van der Werff, Neural characteristics of resilience to traumatic stress
Dr Susan Hodgson, Natural Environments and Wellbeing in the UK
Dr Andrea Mechelli, Using deep learning technology to make individualised inferences in brain-based disorders
Tags: 40323, Brain disorders, clinical-tool, deep learning, neuroimaging, normative-model, translational-approach
June 2018
