Last updated May 31, 2017
Recently approved research (2016-2017) 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
Dr David Heckerman, Prediction and association studies on complex phenotypes
Dr Keith Goatman, Brain volume atlas
Professor Julie Williams, Further defining the genetic architecture of Alzheimer’s disease
Dr Amadou Gaye,Severe hypertension in African descent population
Professor Eran Segal, A statistical framework for personalized nutrition recommendations based on genetic and anthropometric data
Dr Xiaoyi Gao, Ocular Genetics in the UK Biobank
Professor John Gallacher, Lifestyle risk factors in association with dementia risk
Professor Heribert Schunkert, Investigating multi-locus epistatic interactions underlying coronary artery disease
Mr Tatsuya Ando,Identify sub-population based on genetic risks shared between habit-forming behaviors and diseases
Professor Edwin Wang, Predict cancer risk based on genomic, environmental and lifestyle factors
Professor Kari Stefansson, Osteoarthritis
Dr Michelle Luciano, Spousal genetic and phenotypic similarity
Dr Mar Pujades Rodriguez, Weighing benefits and risks of therapies for the treatment of chronic inflammatory diseases
Dr Gerome Breen, Metabolic and psychiatric genetics of eating disorders, BMI and obesity
Professor Kari Stefansson
Dr Giles Greene, Testing the association between magnesium and depressive symptomology
Dr Dorothee Diogo, Predicting drug efficacy, potential adverse outcomes, and causal biology through phenome-wide association studies (PheWAS) and Mendelian randomization
Professor Gita Mishra, Cross-cultural variations in female reproductive health and non-communicable diseases: analysis of 500,000 participants from the UKBiobank and the InterLACE consortium
Dr. Paul Auer, Development and application of methods for analyzing whole-genome imputed data for hematological traits
Dr Michael Blum, Evaluation of statistical learning to compute polygenic risk scores.
Dr. Roberta Brinton, A precision medicine approach for treatment and prevention of Alzheimer’s disease using statins
Professor Patricia Munroe, Gene-Lifestyle interactions in cardiometabolic disease traits
Dr Emanuele Di Angelantonio, Risk factors for “less-frequent” cardiovascular diseases
Dr Jeffrey Barrett, Genetics of Infection Susceptibility
Miss Debbie Bishop, The definition, measurement and lifecourse determinants of healthy ageing.
Dr Evangelia Demou, Understanding the relationship between employment and health
Dr Sébastien Thériault, Identification and characterization of functional variants with a causal role in chronic cardiopulmonary diseases
Dr Helen Coleman, A multi-level approach to better understand the association between physical activity and sedentary behaviour, and cancer risk
Prof Cathie Sudlow, UK Biobank Stroke Study (UKBiSS): developing an in-depth understanding of the determinants of stroke and its subtypes
Dr Miguel Renteria, Investigating the role of disruptive exonic genetic variants in loci associated with neuropsychiatric disease
Dr Kari North: Transcriptome-wide Association Study of Cardio metabolic Traits in the UK Biobank Cohort
Professor Richard Houlston: Development of a risk prediction model for colorectal cancer
Professor Dominic Furniss: The Genetics and Epidemiology of Fibrosis
Professor Jacques Fellay: Deep learning prediction of complex traits
Dr Arimantas Lionikas: Genetics of Variation in Regional Muscle Mass
Professor Mark Hamer: Physical activity, adiposity and brain health
Ms Gunn-Helen Moen: Genetics of gestational diabetes
Mr Onkabetse Mabikwa: Modelling the alcohol-blood pressure associations in type 2 diabetes patients: UK Biobank
Associate Professor Stuart MacGregor: Gene mapping and genetic correlation across complex traits
Ms Tahani Al Ramah: The relationship between adiposity and low grade inflammation as mediators of metabolic dysfunction
Professor Helgi Schiöth: Identification and evaluation of risk factors in the working environment for poor health outcomes
Dr Daniel Freitag: Use of UK Biobank genetic data to support drug discovery and development
Dr Nils Hammerla: Predicting Risk for Chronic Conditions using Machine Learning
Dr Stefanie Heilmann-Heimbach: Systematic insights into the genetic basis of male-pattern baldness
Miss Caroline McHutchison, Genetic overlap of Motor Neurone Disease and neuropsychiatric disorders
Dr Mieke Van Hemelrijck, Serum lipid and glucose measurements and risk of prostate cancer
Tags: 10088, cholesterol, cholesterol_metabolism, diabetes, lipid_metabolism, prostate_cancer
June 2017
