Last updated Feb 21, 2019
Recently approved research (2017-2019) with the UK Biobank resource is listed below by month of data release. 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. The chart below details research interest areas from 2012-2019, please click on the chart to enlarge it.
Approved Research
Epigenomics-mediated blood pressure and QT GWAS
The metabolic consequences of adverse early life conditions and subsequent risk for adult cardiovascular disease and type 2 diabetes
Tags: 47673, cardiometabolic, cardiovascular disease, development, diabetes, Machine Learning, mediation
June 2019
Running Principle Component Analysis and feature selection methods on Biobank scale genotypes
Predict the risk of type 2 diabetes based on early stage and late stage risk factors: genomics, bio-marker, lifestyle, MRI image and environmental data using a deep learning model
Evaluation of Causal Relationships between Body Mass Index and a Wide Range of Traits and Diseases
Gene-environment interaction study on obesity, body mass index, and waist circumference
A Secondary Data Analysis Case-control Study to Evaluate Dietary Intake before a Colorectal Cancer Diagnosis in the British Population
Identification and validation of causal variants effect on cardiovascular disease through immune-mediated inflammation
Genetic Determinants of Cardiorespiratory Fitness and Related Measures
Serum cardiometabolic and liver function markers in relation to colorectal cancer risk and survival
Effect of diet and diet-gene interactions on cognitive function and risk of dementia and Alzheimer’s disease.
Exploring and Accommodating Heterogeneity in Large-Scale Genetic Analyses
Understanding the genetic complexity of neuropsychiatric features in copy-number variant disorders
Precision Retinal Biomarkers for Cognitive Impairment
Detecting gene-gene interaction effect on blood cell traits by neural networks
Brain Aging Polygenic Risk Score Prediction of Neurological Phenotypes
Exploring mechanistic dietary patterns for obesity, type 2 diabetes and coronary heart disease
The Impact of Education on Pain: Evidence from Compulsory Schooling Laws
High-throughput detection of genealogical distortions due to selection
Characterizing the genetic determinants of mineral metabolism: A UK Biobank study
Identifying genetic correlations and significant regulatory mechanisms between mental disorders and autoimmune diseases.
Testing the role of positive selection in recent rises of disease incidences
Can 7-day wrist-worn accelerometry predicts hand grip strength in healthy older adults and people with multimorbidities?
Genetics of cancer risk and therapy response
Development of a predictive model for waist circumference for comparison of measurement methods between research studies
Cross-Modality Cardiac Scar Imaging
Importance of healthy lifestyle on chronic neurological conditions
Genetic Association Analyses of Complex Traits and Methods Development
Dissecting the genetic architecture of neurodegenerative diseases
Health economics of obesity
A Novel Reward System Polygenic Risk Score for the Prediction of Obesity and Substance Use Disorders
Refining an algorithm to identify individuals at the prediagnostic phase of Parkinson’s disease
Tags: 14872, ageing, Cognitive-decline, featured, modelling, neurodegeneration, prevention, risk factors
June 2019
Bayesian Models for Gene and Behavioral Interaction on Cancer and Cardiovascular Morbidity and Mortality
Tags: 44084, Bayesian, cancer, cardiovascular disease, effect modification, gene-environment interaction, physical activity
May 2019
Machine-Learning to Bridge Heterogeneity in Clinical Data Resources and Optimize Model Generation
Characterizing brain networks and their inter-individual variability by high-throughput imaging and computational modelling
Integrative analysis of UK Biobank and other genetic and genomic datasets for complex disease detection and prevention
D+ART: The diet and arthritis data project
GWAS studies for kidney-related traits using UKBB data
Identification of risk factors for venous thromboembolism
Development of cross-phenotype meta-analysis methods that can account for effect size heterogeneity between diseases and sample overlap
The impact of variation in the mitochondrial genome and transcriptome on human disease and phenotypes
Development and validation of polygenic risk score models for human traits and disease
Identification of subgroups in heterogeneous and multifactorial disorders
The association between occupational physical activity and the risk of gastroesophageal reflux disease (GORD), Barrett’s oesophagus and oesophageal adenocarcinoma – a cohort study in Biobank
Reprocessing and joint calling of UKBB exomes with gnomAD, genotype-phenotype analysis and open release via dedicated portals
Statistical methods for large-scale genomic analysis
Development of a composite genetic, comorbid, and lifestyle factor related risk prediction model for gout, and cardiovascular diseases in people with gout
Exploring Diet/Lifestyle/Health factors as causes and modifiers of genetic determinants of healthspan, ageing and longevity
Marker selection method to increase the accuracy of genomic prediction for human traits
How large is large enough? Is small datasets still valuable under the shadow of huge biobank data?
Towards a comprehensive predictive model of the contribution of individual and combination of risk factors to brain ageing, neurodegeneration, and cognitive decline
The UK Biobank and the porphyrias: investigating the consequences of mutations in genes related to heme biosynthesis
Tags: 47222, acute-intermittent-porphyria, pathogenic-mutations, penetrance, porphyria, Risk, subclinical-disease
May 2019
Prioritizing drug targets through genetic analyses
Genetic underpinnings of brain structural trajectories in health and psychiatric disease
Predicting cancer diagnoses from germ line copy number variation.
The role of metabolic and cardiovascular disease and treatments in dementia and cognitive decline
Gene x environment interactions between genetic variants and ethanol intake on triglyceride levels, liver and pancreatic diseases
Novel whole-genome analysis methods for Alzheimer’s risk prediction
Impact of red and processed meat and fibre intake on risk of chronic inflammatory diseases: a prospective UK Biobank cohort study on prognostic factors and personalised medicine in the UK Biobank
Understanding the genetic susceptibility to appendicitis
Understanding the genetic architecture of inherited cardiovascular conditions (ICCs) and cardio-renal disease
Characterizing the contribution of short tandem repeats to human phenotypes
Genetic and environmental interactions in genetics of human traits: Insights from regulatory variation
Predicting likelihood of developing gastrointestinal cancers
Fracture risk in the Million Women Study cohort: application for baseline information from UK Biobank for women participating in both studies
Understanding genetic and phenotypic contributors to complex disease risk
Developing a reference normative sample of the volumetric and myelin density of the spinal cord and brain imaging data in the UK Biobank
Replication of genetic risk factors in sporadic Creutzfeldt-Jakob disease
Predictive value of the structural connectome using machine learning
Resting state functional Magnetic Resonance Imaging (fMRI)-based markers of chronic pain
The genetic basis of postoperative atrial fibrillation after cardiac surgery
Tags: 47429, Atrial Fibrillation, Cardiac, cardiac surgery, genetics/genotyping, Pharmacogenomics, risk prediction
April 2019
Mutations and genetic variants associated with trichilemmal (pilar) cysts
Genetics of reserve capacity and underlying functional brain differences
Vascular diseases; their consequences and determinants
Traditional and novel biomarkers of adverse cardiometabolic imaging, and associations with outcomes
Elucidation of the causal role of iron status on anemia and on cardiometabolic syndrome in White and Han Chinese ethnic groups using Mendelian randomization analysis
Expanding the understanding of complex genetic disorders
Evaluating genome-wide association and genetic interaction in complex traits
Exhaustive bivariate Genome-Wide-Interaction-Studies applied to the uk-biobank datasets
Dr Mark Farrell
Dissecting genetic relationships between type 2 diabetes, depression, and related phenotypes
Using genetic data in drug target discovery and validation
Cross-diagnostic and cross-platform multimodal analysis of UK Biobank imaging data
Drug toxicity and target discovery using genetic loss of function within disease subtypes
Early association between sleep and brain disorders
Automated disease and disease risk detection from retinal images with deep learning
Statistical Analysis of UK Biobank Imaging Database
Assessing the link between physiological measurements and structural brain images using machine learning
Multiscale regulation of motor activity and the risk for Alzheimer’s disease
Association of loss-of-function variants and incompletely penetrant alleles with UKBB phenotypes
Physical activity and cancer: risk, prognosis, and mechanisms
Characterization of functional and morphological MRI features in subjects with BDNF Val66Met polymorphism.
Immune genes and cancer susceptibility
Mechanisms linking season of birth to later-life circadian and mood disorders
Population-level associations between activity and mood disorders
The genetic and environmental determinants of cardiometabolic and related disorders
UK Heart Rate Map
The association between coffee consumption and metabolic syndrome
Creation of a framework for identification of patterns of brain health and disease
Plant foods, nutrients and the risk of morbidity and all-cause and cause-specific mortality: exploring associations with subtypes of plant foods, less common diseases and the underlying mechanisms
Brain Disease Subtyping Modeling aging and subtyping brain disease in multimodal brain MRI
Phenotypic characterization of genetic variants associated with sex steroid differences
Comparing polygenic risk and predicted loss-of-function (pLoF) variants in a healthy ageing cohort (ASPREE) with the UK Biobank, across a range of disease and health-related phenotypes
From Black Box to Interpretable Machine Learning Applications for UK Biobank Data
Development and evaluation of machine learning approaches for genetic-based disease prediction in the UK Biobank
Heritability enrichment analysis, prediction and genetic correlation analysis for multiple traits
Combined impact of genetic variants that physically interact in the 3D genome on disease susceptibility
Exploring the Genetics of Cerebral Small Vessel Disease via Patterns of White Matter Hyperintensities
Predicting heritable phenotypic traits and conditions from genomic data using cutting-edge deep learning methods
Neural correlates of Parkinson’s disease dementia
Cumulative evidence for causal relationships between extrinsic exposures and major noncommunicable diseases
Gene-by-environment interactions and local adaptation in response to diet variation
Elucidating factors underlying susceptibility to, and progression of, inflammatory bowel disease risk
Perinatal Light Imprinting Circadian Clocks and Systems (PLICCS) and Associations with Disease in the UK BIOBANK
Using UK Biobank data to build an obesity related person and area classification for the UK
Genetics of complex human traits with a main focus on cardiac disease.
Genomic Predictors of Human Blood Pressure
The genetic basis of biliary tract cancers: a genome-wide, transcriptome-wide and phenome-wide association analysis
Association of physical activity, fitness, and obesity with cancer incidence and mortality
Genetic and environmental risk factors in colorectal cancer
The location of the human seasonal clock
Assessment of the integrated association of potential determinants of physical activity by domain
Effects of diet and lifestyle, and their interactions with genetic variants, on our health
Genes, Education, and Gene-Education Interactions in Obesity and Mental Health
Classification and Prediction of Disease
Cortex.Map: a web service for MRI-based localization of brain abnormalities in epilepsy
Longitudinal associations between social activities and structural and functional MRI markers of the ageing brain
Association of gluten intake with metabolic syndrome and cardiovascular risk – Findings from the UK biobank
Dr Caroline Nievergelt
GWAS Meta-Analysis of T2D and Prostate Cancer
Causes and consequences of digestive diseases: a prospective cohort study and a phenome-wide mendelian randomization analysis
Identification of causal risk factors for atrial fibrillation
Multi-omics integrative studies of common psychiatric disorders and skeletal disorders
Social environments, genes and health
Physical Activity and Anthropometric Risk Factors for the Development of Cancer in the UK Biobank
The prediction of asthma status using clinical and genetic variables
A Statistical Framework to Discover Sex-Specific Genetic Effect
Polygenic Risk Score and Clinical Information Integration for Disease Prediction
Identifying Genetic Markers for Developing Pseudoarthrosis or Adjacent Segment Disease after Cervical Spine Surgery
Pleiotropic effects of cardiometabolic genetic markers and their interaction with diet and fatty acids in cardiovascular diseases
Investigating the genetic architecture of breast cancer: a multi-ancestry genome-wide association study and a phenome-wide mendelian randomization analysis
Evaluation of how mechanotransduction contributes to human health and disease
Genetic study of psoriasis and cardiovascular disease risk factors
Using UK Biobank data to support the Novo Nordisk drug discovery and development pipeline
Understanding the Role of the Brain and Cardiovascular Factors in Hypertension-Affect Relationships
Developing a diagnostic tool for non-alcoholic fatty liver disease and inferring causal relationships with type 2 diabetes
Deep neural modular genetic networks
Development and application of phenome-wide Mendelian randomization methods for drug discovery and development
Identify biomarkers for distinguishing different mental disorders using brain images and their associations with genetic risk
Meta-analysis of genome-wide association studies for chronic venous disease
Machine learning discovery of genotype-phenotype associations in cardiovascular science
Development of a free and accessible web-based genetic risk comparison tool using UK Biobank data
Risk profiles for cancers; polygenic risk scores with and without non-genetic risk factors
Risk factors for aortic dissection in the UK Biobank Study
Geometry of Population Data from Images in the UK Biobank
Combining genetic and phenotypic data in type 2 diabetes to deduce a genetic risk score
Integration of multi-organ imaging phenotypes, clinical phenotypes, and genomic data
The Association of Brain Morphology and Mental Health with Neighborhood Environment
Genetic Studies of Inflammatory and Immune-Mediated Traits
Investigating lifestyle factors on cancer outcomes
Genome-wide association study of acute respiratory failure in UK Biobank
Search for candidate gene variants predisposing to tuberculosis
Identifying lifestyle, environmental and employment factors and their interactions with genetic alleles in various skin cancers
Lifespan Changes in Brain and Cognition- Identifying risk and protective factors
Developing a risk score for prediction of cardiovascular disease in patients with chronic neurological diseases based on traditional and novel risk factors
Built environment and health in the UK Biobank: exploring the complex relationship using machine learning approaches
The association of non-cancer chronic pain to cognitive decline, cognitive impairment, and conversion to Alzheimer’s Disease and related dementias (ADRD)
Genome-wide association study of Body mass index in short and tall individuals
Genetic potentiators of human language
Enriched Image Based Phenotypes for Health Exploration and Discovery
Systematic identification into the genetic basis of malignancies affecting the upper gastrointestinal tract
Tags: 34390, cancer, featured, genetics, genetics-risk-factors, upper-gastrointestinal
February 2019
Understanding the genetic architecture of chronic liver disease
Discovery and validation of genetic biomarkers to stratify patients with psychiatric disorders based on cognitive impairment
Tags: 43592, cognitive impairment, drug-discovery, eqtl, genotype biomarker, schizophrenia
February 2019
Causal Inference in Large-Scale Clinical Neuroimaging Studies
The association of genomic variation, exogenous female hormones, and statin therapy with the risk of incident and recurrent arterial and venous thrombosis
Deep-Learning based Multiclass Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using a Fully Convolutional Neural Network
Mendelian Randomization to Determine the Attributable Healthcare Cost of Obesity
Rare, functionally validated, nonsense and missense mutations and human anthropometric and metabolic traits
Single nuclear polymorphisms in PIEZO1 gene and Cardiovascular Diseases
Quantifying genomic differentiation between the sexes: implications for sex-specific health and infertility
Incorporating Biomarkers in Social Science Research on Healthy Ageing: An Intersectionalities Approach
Harmonising large-scale imaging databases to provide integrated assessments of the role of white matter hyperintensities in cognitive aging
Survey of Genetic Factors Affecting Disease Risk and Progression
Genetic effect and genetic correlation among multiple related phenotypes and interaction with environmental exposures
The use of commonly prescribed medications and survival in cancer patients
Genome-wide assessment of gene-smoking interactions on lung function
The role of epitope-binding features of HLA alleles in health and disease
Explore the associations between different exposures and health outcomes
Interactions between Sugar Consumption and Genetic Variation on Cardiometabolic Traits
CARDIOMARKER- Computational imaging phenomics in population cardiac MRI with automatic image quality assessment: benchmarking, scalability and inference with state-of-the-art algorithms
A Machine Learning based screening system for Retinal and Systemic Diseases
Causal relationships between environmental exposures and risk of human cancers: a phenome-wide mendelian randomization analysis
Multi-Modal Analysis of the UK Biobank Neuroimaging Data
Develop biomarker of chronic fatigue syndrome (CFS) from accelerometer data
Genomic Data Analysis using Machine Learning Methods for Disease Classification and Causal Gene Analysis
Scalable and Robust methods for biobank data analysis
Environmental and clinical correlates of medical comorbidities in severe mental illness
Novel methods for the use of hierarchically-structured healthcare data in genetic association analyses
Do childhood circumstances predict later life loneliness?
Tags: 44521, adverse childhood experiences, child health, featured, loneliness, social isolation
January 2019
Is sleep associated with cognitive and psychosocial outcomes in autism spectrum disorder?
Cancer risk of FADS1 haplotypes
Pathological Brain Ageing in the General Population – Effects from Trauma, Depression and Genetics
Risk factors for intracerebral and subarachnoid haemorrhage in the general population
Novel ECG measures of electrophysiological substrate
Advancing actigraphy-based daily activity and sleep analysis with machine learning to understand baseline biometrics in healthy individuals and those experiencing various medical conditions
Building and evaluating multivariate statistical machine learning methods for knowledge extraction from the UK Biobank
Genetic variability associated with shift work tolerance
Tags: 40732, chronotype, Insomnia, Night work, shift work, Shift work tolerance, sleep duration
December 2018
