UK Biobank: a large prospective cohort study into the causes of common complex diseases. Presentation to participants, 22 nd April 2015.

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Transcription:

UK Biobank: a large prospective cohort study into the causes of common complex diseases. Presentation to participants, 22 nd April 2015.

Overall strategy for UK Biobank resource 0.5M UK men and women aged 40-69 years Extensive baseline questions and physical measures, as well as stored blood, saliva and urine samples that allow many different types of analysis in the future. General consent from participants for follow-up through all health-related records.

Power of UK Biobank Prospective: Assess the full effects of a particular exposure (e.g. smoking) on all health outcomes (e.g. cancer, vascular disease, lung disease) Detail: Wide range of questions, measures and samples allows assessment of many exposures Size: Sufficiently large number of people develop a condition to allow reliable assessment of causes, and of interactions between different exposures

Expected numbers of incident disease outcomes during 5, 10 and 15 years of follow-up Condition 2012 2017 2022 Diabetes 10,000 25,000 40,000 MI/CHD death 7,000 17,000 28,000 Stroke 2,000 5,000 9,000 COPD 3,000 8,000 14,000 Breast cancer 2,500 6,000 10,000 Colorectal cancer 1,500 3,500 7,000 Prostate cancer 1,500 3,500 7,000 Lung cancer 500 2,000 4,000 Hip fracture 1,000 2,500 6,000 Alzheimer s 500 3,000 9,000

Value of size: CHD versus SBP for 5K vs 50K vs 500K people in the Prospective Studies Collaboration (PSC) 5000 people 50,000 people 500,000 people 256 256 Age at risk: 80-89 256 Age at risk: 80-89 128 128 70-79 128 70-79 64 Age at risk: 80-89 64 64 60-69 32 16 70-79 60-69 32 16 60-69 50-59 32 16 50-59 40-49 8 50-59 8 40-49 8 4 40-49 4 4 2 2 2 1 1 1 120 140 160 180 Usual SBP (mmhg) 120 140 160 180 Usual SBP (mmhg) 120 140 160 180 Usual SBP (mmhg)

Recruitment of the cohort Scottish cluster Glasgow, Edinburgh North/North West cluster Bury, Manchester, Liverpool, Stoke, Sheffield South West and Wales cluster Cardiff, Bristol, Swansea 46% male, 54% female 57% aged 40-59, 43% aged 60-69 All strata for UK population represented 85% urban 94.5% white, 5.5% other ethnicities North Eastern cluster Newcastle, Middlesbrough, Leeds Midlands cluster Nottingham, Birmingham Oxford London cluster Bart s, East London, Hounslow, Reading

Baseline assessment visit (with enhancements) Touchscreen station Consent, Touchscreen questionnaire, Cognitive function, hearing test Interview station Interview and blood pressure Vascular reactivity Eye measure station Visual acuity and refraction, intraocular pressure, retinal photography, Optical Coherence Tomography Sample collection stations Blood, urine Saliva, blood for RNA Physical fitness station Exercise test with ECG Physical measures station Hand grip, Height (standing, sitting), Waist/hip circumference, Weight/impedence, Spirometry, Heel ultrasound Exit

Haematology We collected 50mls blood and a urine and saliva sample. Acid citrate K 2 EDTA Silica Li/Hep K dextrose 2 EDTA Tempus tube 4 0 C Transport 18 0 C Transport 4 0 C Transport Plasma, Buffy coat, Red cells Serum Plasma PBLs Urine analytes RNA Saliva

that were processed at our site in Cheadle. 700 Participants per day 4900 Vacutainers per day 21,000 1ml Samples per day 14 million 1ml aliquots

UK Biobank main site and archive

UK Biobank back-up site

Current activities Provision of access to resource Follow up of the health of our participants Enhancing the study Web-based diet questionnaires Assessment of seven day physical activity Measuring markers in blood and urine Genotyping of all 500,000 participants Imaging of 100,000 participants

UK Biobank is supporting a range of research questions 200 175 167 150 125 100 83 86 75 50 25 0 11 24 18 4 11 6 11 61 61 1 43 27 9 28 36 50 20 9 2 6 19 24 3 22 19 28 2 5 32 31 10 15 18 4

Follow up of half a million people Comprehensive, scalable and affordable All participants are registered with a GP NHS provides the great majority of healthcare in the UK. National datasets about healthcare and people s outcomes exist. Register of deaths (and causes) Cancer registrations Hospital data Primary care data X X X X

Follow up of half a million people web-based tools Affordable, repeat administrations, efficiency of data collection and analysis Dietary questionnaire. Can assess conditions that are very hard to find out about through linking to health records: Cognitive function Occupation Mental health Quality of life

Unravelling the genetic code a quick crammer The human genome is comprised of almost 3 billion bases (or base pairs) Each human chromosome carries a unique set of genes which produce specific proteins We each have about 30,000 genes (2% of the DNA) Genetic diversity, together with environmental influence, is what makes each human being different from every other Individuals are 99.9% identical at the DNA sequence level It is the variation that causes the differences between us and drives evolutionary change The most common form of variation is a SNP

SNP single nucleotide polymorphism Person A GGATCGATTCGATTAGCGATCGATTACGTCGATCG Person b GGATCGATTTGATTAGCGATCGATTACGTCGATCG

Genotyping at UK Biobank High quality genomic DNA is extracted from the white cells on automated systems at Cheadle DNA is genotyped at our partners at Affymetrix. The genotypes are called and then checked in Oxford The data are enormously enhanced through imputation.

Wellcome Trust Case Control Consortium: 2,000 cases of 7 different conditions and 3,000 controls (Nature 2007)

Overall value of large scale imaging Well characterised group of people with linkage to health outcomes Increased power through size and measurement precision Unique value of multi-modal imaging in large numbers of individuals that can be linked with the wealth of data already in UK Biobank. This will be the largest study of its kind in the world.

Imaging at UK Biobank

Abdominal MRI Accurate measure of fat distribution across abdominal compartments link to risk/health outcome More informative than BMI, WHR Volume and distribuition of fat and its link to metabolic disease. Liver and muscle fractions as predictors of outcomes Interactions between body phenotype and genetic/lifestyle factors No large in depth studies to date Impact of physical activity, calorific reduction Leads Tony Goldstone and Jimmy Bell

Data from Prof. Jimmy Bell and Tony Goldstone Imperial College BMI = 23.50 kg/m 2 ; TAT = 13.19 l BMI = 23.52 kg/m 2 ; TAT = 21.79 l BMI = 23.53 kg/m 2 ; TAT = 17.33 l BMI = 23.57 kg/m 2 ; TAT = 21.43 l BMI = 23.88 kg/m 2 ; TAT = 16.84 l BMI = 24.27 kg/m 2 ; TAT = 24.11 l BMI = 24.29 kg/m 2 ; TAT = 14.33 l BMI = 24.07 kg/m 2 ; TAT = 12.40 l BMI = 23.62 kg/m 2 ; TAT = 26.17 l

Intra-abdominal AT (litres) Appearances can be deceptive 12 11 Phenotype: thin on the outside, fat on the inside = TOFI 10 9 8 7 6 5 4 3 2 1 Lean Overweight Obese Morbidly obese Data from Prof. Jimmy Bell and Tony Goldstone Imperial College

Influence of Dieting Baseline Following a weight loss of 33 kg Data from Prof. Jimmy Bell and Tony Goldstone Imperial College

Summary UK Biobank is a globally-unique resource of data and samples linked to health outcomes It will be used to understand the causes of common diseases and of health As data are added it becomes increasingly valuable New technologies are offering the potential for groundbreaking, affordable discoveries that could not have been envisaged when the study was first proposed The way that UK Biobank has been delivered has been recognised nationally and internationally It is something of which the North West and the UK can be proud