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University of Exeter Medical School

Dr John Dennis

Dr John Dennis

Senior Independent Research Fellow

 J.Dennis@exeter.ac.uk

 07734 940921

 RILD Building 

 

University of Exeter Medical School, RILD Building, RD&E Hospital Wonford, Barrack Road, Exeter, EX2 5DW, UK


Overview

Dr Dennis is a Wellcome Trust Senior Independent Research Fellow in the Clinical Diabetes Group at the University of Exeter Medical School. His research focuses on developing a personalised or ‘precision’ approach to drug therapy in type 2 diabetes, a condition for which there are many different drug options but little guidance to help clinicians and patients choose between them. Dr Dennis is applying data science and advanced statistical methods to better understand the benefits and risks of each drug option, and to develop decision aids to help health professionals choose the best drug for individual patients.

Dr Dennis is also developing a more general methodological framework for precision medicine research combining data from electronic health records and clinical trials.

Postgraduate Research opportunities: Dr Dennis is open to enquires from students with their own funding interested in pursing an MSc by Research or PhD in diabetes or data science research.

Qualifications

  • PhD University of Exeter
  • MSc London School of Hygiene and Tropical Medicine
  • BSc (Hons) University of Nottingham

Funding

Wellcome Trust Early Career Fellowship (2024-2029)

UKRI E3 Post-doctoral award (2019-2023)

Grants

Wellcome Trust Early Career Fellowship. Principal investigator. Funder: Wellcome Trust. Awarded May 2023. £799,814

Individual-level prediction of stroke risk following risperidone treatment in dementia: a mixed methods study. Co-investigator, with B Creese (PI) and 6 other co-applicants. Funder: NIHR Research for Patient Benefit (NIHR204390). Awarded Nov 2022. £168,554.

Individual-level cardiovascular & heart failure risk stratification to inform precision SGLT2-inhibitor treatment. Principal investigator. Funder: European Foundation for the Study of Diabetes. Awarded: September 2022. £26,115

Developing a decision support tool to enable precision treatment of type 2 diabetes. Co-investigator, with A Hattersley (PI) and 9 other co-applicants. Medical Research Council (MR/W003988/1). Awarded July 2021.

Understanding the association between diabetes & severity of COVID-19. Principal investigator, with 7 co-applicants. Funder: Diabetes UK (20/0006220). Awarded April 2020. £65,433.

Precision medicine in type 2 diabetes: developing and testing a decision support tool for primary care to optimise the selection of glucose-lowering therapy. Principal investigator, with 5 co-applicants. Funder: BHF-Turing Cardiovascular Data Science Award (SP/19/6/34809). Awarded Feb 2020. £110,000

Developing a working platform for a treatment selection algorithm for glucose lowering in Type 2 diabetes. Co-investigator, with A Hattersley (PI) and 10 other co-applicants. Funder: NIHR Development Funding Scheme (DFS). Awarded February 2018. £50,000.

Links

Research group links

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Research

Research interests

  • Precision treatment in type 2 diabetes
  • Diabetes and COVID-19
  • Clinical prediction models
  • Synthesis of evidence from observational and trial datasets
  • Methods to strengthen inference from routine clinical practice databases

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Publications

Journal articles

Dennis J, Jones A, Shields B, Hattersley A (In Press). Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine. BMC Medical Informatics and Decision Making Abstract.
Lynam A, McDonald T, Hill A, Dennis J, Oram R, Pearson E, Weedon M, Hattersley A, Owen K, Shields B, et al (In Press). Development and validation of multivariable clinical diagnostic models to identify type 1 diabetes requiring rapid insulin therapy in adults aged 18 to 50. BMJ Open
McKinley T (In Press). Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy. BMC Medical Informatics and Decision Making
Dennis J, Shields B, Jones A, Pearson E, Hattersley A, Henley W (In Press). Evaluating associations between the benefits and risks of drug therapy in type 2 diabetes: a joint modelling approach. Clinical Epidemiology
Hopkins R, Young K, Thomas N, Godwin J, Raja D, Mateen B, Challen R, Vollmer S, Shields B, McGovern A, et al (In Press). Risk factor associations for severe Covid-19, influenza, and pneumonia in people with diabetes to inform future pandemic preparations: UK population-based cohort study. BMJ Open
Dennis J, Henley W, Weedon M, Lonergan M, Rodgers L, Jones A, Hamilton W, Sattar N, Janmohamed S, Holman R, et al (In Press). Sex and BMI alter the benefits and risks of sulfonylureas and thiazolidinediones in type 2 diabetes: a framework for evaluating stratification using routine clinical and individual trial data. Diabetes Care
Dennis J, Henley W, McGovern A, Farmer A, Sattar N, Holman R, Pearson E, Hattersley A, Shields B, Jones AG, et al (In Press). Time trends in prescribing of type 2 diabetes drugs, glycemic response and risk factors: a retrospective analysis of primary care data, 2010-2017 Running title: Prescribing and patient outcomes in type 2 diabetes. Diabetes, Obesity and Metabolism
McGovern A, Shields B, Hattersley A, Pearson E, Jones AG (In Press). What to do with diabetes therapies when HbA1c lowering is inadequate: add, switch, or continue? a MASTERMIND study. BMC Medicine
Young KG, McGovern AP, Barroso I, Hattersley AT, Jones AG, Shields BM, Thomas NJ, Dennis JM (2023). HbA1c screening for the diagnosis of diabetes. Reply to Brož J, Brabec M, Krollová P et al [letter]. Diabetologia, 66(8), 1578-1579.  Author URL.
Cardoso P, Young KG, Nair ATN, Hopkins R, McGovern AP, Haider E, Karunaratne P, Donnelly L, Mateen BA, Sattar N, et al (2023). Phenotype-based targeted treatment of SGLT2 inhibitors and GLP-1 receptor agonists in type 2 diabetes. Abstract.
Franks PW, Cefalu WT, Dennis J, Florez JC, Mathieu C, Morton RW, Ridderstråle M, Sillesen HH, Stehouwer CDA (2023). Precision medicine for cardiometabolic disease: a framework for clinical translation. Lancet Diabetes Endocrinol, 11(11), 822-835. Abstract.  Author URL.
Young KG, McInnes EH, Massey RJ, Kahkohska AR, Pilla SJ, Raghaven S, Stanislawski MA, Tobias DK, McGovern AP, Dawed AY, et al (2023). Precision medicine in type 2 diabetes: a systematic review of treatment effect heterogeneity for GLP1-receptor agonists and SGLT2-inhibitors. Abstract.
Young KG, Hopkins R, Shields BM, Thomas NJ, McGovern AP, Dennis JM (2023). Recent UK type 2 diabetes treatment guidance represents a near whole population indication for SGLT2-inhibitor therapy. Abstract.
Tobias DK, Merino J, Ahmad A, Aiken C, Benham JL, Bodhini D, Clark AL, Colclough K, Corcoy R, Cromer SJ, et al (2023). Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine. Nature Medicine, 29(10), 2438-2457.
Locke JM, Dusatkova P, Colclough K, Hughes AE, Dennis JM, Shields B, Flanagan SE, Shepherd MH, Dempster EL, Hattersley AT, et al (2022). Association of birthweight and penetrance of diabetes in individuals with HNF4A-MODY: a cohort study. Diabetologia, 65(1), 246-249.  Author URL.
Thygesen JH, Tomlinson C, Hollings S, Mizani MA, Handy A, Akbari A, Banerjee A, Cooper J, Lai AG, Li K, et al (2022). COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records. The Lancet Digital Health, 4(7), e542-e557. Abstract.
Nair ATN, Wesolowska-Andersen A, Brorsson C, Rajendrakumar AL, Hapca S, Gan S, Dawed AY, Donnelly LA, McCrimmon R, Doney ASF, et al (2022). Heterogeneity in phenotype, disease progression and drug response in type 2 diabetes. Nat Med, 28(5), 982-988. Abstract.  Author URL.
Thomas NJ, McGovern A, Young KG, Sharp SA, Weedon MN, Hattersley AT, Dennis J, Jones AG (2022). Identifying type 1 and 2 diabetes in population level data: assessing the accuracy of published approaches. Abstract.
Shields BM, Dennis JM, Angwin CD, Warren F, Henley WE, Farmer AJ, Sattar N, Holman RR, Jones AG, Pearson ER, et al (2022). Patient stratification for determining optimal second-line and third-line therapy for type 2 diabetes: the TriMaster study. Nature Medicine, 29(2), 376-383.
Young KG, McGovern AP, Barroso I, Hattersley AT, Jones AG, Shields BM, Thomas NJ, Dennis JM (2022). The impact of population-level HbA1c screening on reducing diabetes diagnostic delay in middle-aged adults: a UK Biobank analysis. Diabetologia, 66(2), 300-309. Abstract.
Wilde H, Dennis JM, McGovern AP, Vollmer SJ, Mateen BA (2021). A national retrospective study of the association between serious operational problems and COVID-19 specific intensive care mortality risk. PLOS ONE, 16(7), e0255377-e0255377. Abstract.
Rodgers LR, Hill AV, Dennis JM, Craig Z, May B, Hattersley AT, McDonald TJ, Andrews RC, Jones A, Shields BM, et al (2021). Choice of HbA1c threshold for identifying individuals at high risk of type 2 diabetes and implications for diabetes prevention programmes: a cohort study. BMC Medicine, 19(1). Abstract.
Thomas NJ, Dennis JM, Sharp SA, Kaur A, Misra S, Walkey HC, Johnston DG, Oliver NS, Hagopian WA, Weedon MN, et al (2021). Correction to: DR15-DQ6 remains dominantly protective against type 1 diabetes throughout the first five decades of life. Diabetologia, 65(1), 258-258.
Thomas NJ, Dennis JM, Sharp SA, Kaur A, Misra S, Walkey HC, Johnston DG, Oliver NS, Hagopian WA, Weedon MN, et al (2021). DR15-DQ6 remains dominantly protective against type 1 diabetes throughout the first five decades of life. Diabetologia, 64(10), 2258-2265. Abstract.  Author URL.
Dennis JM, Young KG, McGovern AP, Mateen BA, Vollmer SJ, Simpson MD, Henley WE, Holman RR, Sattar N, Pearson ER, et al (2021). Derivation and validation of a type 2 diabetes treatment selection algorithm for SGLT2-inhibitor and DPP4-inhibitor therapies based on glucose-lowering efficacy: cohort study using trial and routine clinical data. Abstract.
Cefalu WT, Andersen DK, Arreaza-Rubín G, Pin CL, Sato S, Verchere CB, Woo M, Rosenblum ND, Symposium planning committee, moderators, and speakers:, Rosenblum N, et al (2021). Heterogeneity of Diabetes: β-Cells, Phenotypes, and Precision Medicine: Proceedings of an International Symposium of the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases. Diabetes Abstract.  Author URL.
Mateen BA, Wilde H, Dennis JM, Duncan A, Thomas N, McGovern A, Denaxas S, Keeling M, Vollmer S (2021). Hospital bed capacity and usage across secondary healthcare providers in England during the first wave of the COVID-19 pandemic: a descriptive analysis. BMJ Open, 11(1), e042945-e042945. Abstract.
Dennis JM, McGovern AP, Vollmer SJ, Mateen BA (2021). Improving Survival of Critical Care Patients with Coronavirus Disease 2019 in England: a National Cohort Study, March to June 2020. Crit Care Med, 49(2), 209-214. Abstract.  Author URL.
Wilde H, Mellan T, Hawryluk I, Dennis JM, Denaxas S, Pagel C, Duncan A, Bhatt S, Flaxman S, Mateen BA, et al (2021). The association between mechanical ventilator compatible bed occupancy and mortality risk in intensive care patients with COVID-19: a national retrospective cohort study. BMC Med, 19(1). Abstract.  Author URL.
McGovern AP, Thomas NJ, Vollmer SJ, Hattersley AT, Mateen BA, Dennis JM (2021). The disproportionate excess mortality risk of COVID-19 in younger people with diabetes warrants vaccination prioritisation. Diabetologia, 64(5), 1184-1186.  Author URL.
Dennis JM, McGovern AP, Thomas NJ, Wilde H, Vollmer SJ, Mateen BA (2021). Trends in 28-Day Mortality of Critical Care Patients with Coronavirus Disease 2019 in the United Kingdom: a National Cohort Study, March 2020 to January 2021. Crit Care Med, 49(11), 1895-1900. Abstract.  Author URL.
Mateen BA, Wilde H, Dennis JM, Duncan A, Thomas NJ, McGovern AP, Denaxas S, Keeling MJ, Vollmer SJ (2020). A geotemporal survey of hospital bed saturation across England during the first wave of the COVID-19 Pandemic. Abstract.
Dennis JM, McGovern AP, Vollmer SJ, Mateen BA (2020). Improving COVID-19 critical care mortality over time in England: a national cohort study, March to June 2020. Abstract.
Lynam AL, Dennis JM, Owen KR, Oram RA, Jones AG, Shields BM, Ferrat LA (2020). Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults. Diagnostic and Prognostic Research, 4(1). Abstract.
Dennis JM (2020). Precision Medicine in Type 2 Diabetes: Using Individualized Prediction Models to Optimize Selection of Treatment. Diabetes, 69(10), 2075-2085. Abstract.
Rodgers LR, Dennis JM, Shields BM, Mounce L, Fisher I, Hattersley AT, Henley WE (2020). Prior event rate ratio adjustment produced estimates consistent with randomized trial: a diabetes case study. Journal of Clinical Epidemiology, 122, 78-86.
McGovern AP, Hogg M, Shields BM, Sattar NA, Holman RR, Pearson ER, Hattersley AT, Jones AG, Dennis JM (2020). Risk factors for genital infections in people initiating SGLT2 inhibitors and their impact on discontinuation. BMJ Open Diabetes Research & Care, 8(1), e001238-e001238. Abstract.
Donnelly LA, Dennis JM, Coleman RL, Sattar N, Hattersley AT, Holman RR, Pearson ER (2020). Risk of Anemia with Metformin Use in Type 2 Diabetes: a MASTERMIND Study. Diabetes Care, 43(10), 2493-2499. Abstract.
Jones AG, Shields BM, Dennis JM, Hattersley AT, McDonald TJ, Thomas NJ (2020). The challenge of diagnosing type 1 diabetes in older adults. Diabet Med, 37(10), 1781-1782.  Author URL.
Dennis JM, Mateen BA, Sonabend R, Thomas NJ, Patel KA, Hattersley AT, Denaxas S, McGovern AP, Vollmer SJ (2020). Type 2 Diabetes and COVID-19–Related Mortality in the Critical Care Setting: a National Cohort Study in England, March–July 2020. Diabetes Care, 44(1), 50-57. Abstract.
Dennis JM, Shields BM, Henley WE, Jones AG, Hattersley AT (2019). Clusters provide a better holistic view of type 2 diabetes than simple clinical features - Authors' reply. Lancet Diabetes Endocrinol, 7(9).  Author URL.
Dennis J, Shields B, Henley W, Jones A, Hattersley A (2019). Disease progression and treatment response in data-driven subgroups of type 2 diabetes compared to models based on simple clinical features: an evaluation using clinical trial data. Lancet Diabetes and Endocrinology
Dennis J, Shields B, Hill A, Knight B, McDonald T, Rodgers L, Weedon M, Henley W, Sattar N, Holman R, et al (2018). Precision medicine in Type 2 diabetes: Clinical markers of insulin resistance are associated with altered short- and long-term glycemic response to DPP-4 inhibitor therapy. Diabetes Care
Curtis HJ, Dennis JM, Shields BM, Walker AJ, Bacon S, Hattersley AT, Jones AG, Goldacre B (2018). Time trends and geographical variation in prescribing of drugs for diabetes in England from 1998 to 2017. Diabetes Obes Metab, 20(9), 2159-2168. Abstract.  Author URL.
Harris JD, Little CJL, Dennis JM, Patteson MW (2017). Heart rate turbulence after ventricular premature beats in healthy Doberman pinschers and those with dilated cardiomyopathy. J Vet Cardiol, 19(5), 421-432. Abstract.  Author URL.
Dennis J, Crayford T (2015). Parliamentary privilege—mortality in members of the Houses of Parliament compared with the UK general population: retrospective cohort analysis, 1945-2011. BMJ, h6563-h6563.

Conferences

Cardoso P, Young KG, Hopkins R, Raya D, Jones AG, Pearson ER, Hattersley AT, Shields BM, McKinley TJ, Dennis JM, et al (2023). Precision medicine in type 2 diabetes: Simple clinical characteristics alter the glucose-lowering efficacy of SGLT2-inhibitors and GLP-1 receptor agonists and can determine optimal therapy choice.  Author URL.
Hopkins R, Young KG, Thomas NJ, Jones AG, Hattersley AT, Shields BM, Dennis JM, McGovern AP (2023). Treatment outcomes with oral anti-hyperglycaemic therapy for people with diabetes secondary to chronic pancreatitis: matched population based cohort study.  Author URL.
Young KG, McGovern AP, Hopkins R, Raya D, Sattar NA, Holman RR, Pearson ER, Hattersley AT, Jones AG, Shields BM, et al (2022). Precision medicine in type 2 diabetes: integrating trial and real-world evidence can provide accurate estimates of heart failure benefit when initiating SGLT2-inhibitors.  Author URL.
Cefalu WT, Andersen DK, Arreaza-Rubín G, Pin CL, Sato S, Verchere CB, Woo M, Rosenblum ND, Rosenblum N, Cefalu W, et al (2021). Heterogeneity of Diabetes: β-Cells, Phenotypes, and Precision Medicine: Proceedings of an International Symposium of the Canadian Institutes of Health Research's Institute of Nutrition, Metabolism and Diabetes and the U.S. National Institutes of Health's National Institute of Diabetes and Digestive and Kidney Diseases. Abstract.
McGovern AP, Thomas NJ, Vollmer SJ, Hattersley AT, Mateen BA, Dennis JM (2021). In younger people with diabetes the disproportionate additional covid-19 mortality risk of covid-19 warrants vaccination prioritisation.  Author URL.
Young KG, Dennis JM, Thomas NJ, Jones AG, McGovern A, Shields BM, Barroso I, Hattersley AT (2021). Participants with undiagnosed diabetes in UK Biobank wait on average two years to receive a diagnosis, and simple clinical features are associated with diagnosis delays.  Author URL.
Dennis JM, Donnelly LA, Henley WE, Jones AG, McGovern AP, Sattar N, Holman RR, Pearson ER, Hattersley AT, Shields BM, et al (2020). Development of a decision aid for primary care to predict the best glucose-lowering treatment after metformin for people with type 2 diabetes.  Author URL.
Ferrat LA, Dennis JM, Owen KR, Oram RA, Jones AG, Shields BM, Lynam AL (2020). Early development of insulinopenia in Black African men with dysglycaemia.  Author URL.
Mcgovern AP, Dennis JM, Shields BM, Hattersley AT, Jones AG (2020). Predictors of genital mycotic infections with SGLT2 inhibitors.  Author URL.
Donnelly LA, Dennis JM, Coleman RL, Hattersley AT, Holman RR, Sattar N, Pearson ER (2020). Risk of anaemia with metformin use: a MASTERMIND study.  Author URL.
McGovern AP, Dennis JM, Shields BM, Pearson ER, Hattersley AT, Jones AG (2020). Should you intensify therapy? a simple tool to quantify the chance of meeting HbA1c targets without adding medication.  Author URL.
Dennis JM, Henley W, Jones A, McGovern A, Pearson E, Hattersley A, Shields B (2019). Precision medicine in type 2 diabetes: harnessing individual-level trial data alongside routine care records to identify predictors of response to SGLT2 inhibitors and DPP4 inhibitors.  Author URL.
Dennis JM, Shields BM, Henley WE, Jones AG, Hattersley AT (2019). Using trial data to test the proposed 5 novel subgroups of diabetes from Ahlqvist et al. derived from cluster analysis: simple clinical measures markedly outperform the 5 subgroups to predict drug response and diabetes progression.  Author URL.
McGovern AP, Dennis JM, Shields BM, Hattersley AT, Pearson ER, Jones AG (2019). What to do when a new medication does not lower HbA1c: Add, switch or continue? a MASTERMIND study.  Author URL.
Dennis JM, Henley WE, Weedon MN, Rodgers LR, Jones AG, Pearson ER, Hattersley AT, Shields BM (2018). Are the new drugs better? Changing UK prescribing of Type 2 diabetes medications and effects on HbA1c and weight, 2010 to 2016.  Author URL.
Kimmitt RA, Dennis JM, Weedon M, Rodgers LR, Jones AG, Pearson ER, Hattersley AT, Oram RA, Shields BM (2018). Higher estimated glomerular filtration rate (eGFR) is associated with improved glycaemic response to sodium-glucose co-transporter-2 (SGLT2) inhibitors in patients with Type 2 diabetes and normal renal function: a MASTERMIND study.  Author URL.
Dennis JM, Shields BM, Henley WE, Jones AG, Hattersley AT (2018). Trial data show the proposed 5 diabetes subgroups from cluster analysis do predict drug response and diabetes progression but simple clinical measures are stronger predictors.  Author URL.
Dennis JM, Henley WE, Weedon MN, Lonergan M, Rodgers LR, Jones AG, Sattar NA, Holman RR, Pearson ER, Hattersley AT, et al (2017). A calculator to predict durability of HbA<sub>1c</sub> response with DPP4 inhibitors, sulfonylureas and thiazolidinediones: a MASTERMIND precision medicine study.  Author URL.
Dennis JM, Shields BM, Henley WE, Knight BA, McDonald TJ, Hill AV, Weedon MN, Rodgers LR, Hattersley AT, Jones AG, et al (2017). Clinical markers of insulin resistance predict reduced glycaemic response with DPP4-inhibitors: a MASTERMIND stratified medicine study.  Author URL.
Dennis JM, Henley WE, Weedon M, Lonergan M, Jones AG, Sattar N, Holman RR, Pearson ER, Hattersley AT, Shields BM, et al (2017). Development of an online risk calculator to predict durability of good glycaemic control with sulfonylurea and thiazolidinedione therapy: a MASTERMIND stratified medicine study.  Author URL.
Shields BM, Dennis JM, Henley W, Weedon M, Lonergan M, Rodgers L, Jones AG, Holman RR, Pearson ER, Hattersley AT, et al (2016). Personalising therapy in type 2 diabetes: the effect of BMI and sex on glycaemic response and side effects to sulphonylureas and thiazolidinediones.  Author URL.
Dennis JM, Henley WE, Weedon MN, Lonergan M, Rodgers LR, Jones AG, Holman RR, Pearson ER, Hattersley AT, Shields BM, et al (2016). Personalizing Therapy in Type 2 Diabetes: the Effect of BMI and Gender on Response and Side Effects to Sulfonylureas and Thiazolidinediones.  Author URL.
Dennis JM, Hattersley AT, Henley WE, Jones AG, Pearson ER, Shields BM (2016). Stratification using gender and body mass index (BMI) can predict side-effect risk in people with Type 2 diabetes initiating thiazolidinediones but not sulphonylureas: a MASTERMIND study.  Author URL.
Dennis JM, Hattersley AT, Weedon M, Angwin C, Rodgers L, Pearson ER, Henley WE, Shields BM (2015). Development of oedema is associated with an improved glycaemic response in patients initiating thiazolidinediones: a MASTERMIND study.  Author URL.
Dennis JM, Hattersley AT, Weedon M, Angwin CD, Rodgers L, Pearson ER, Henley WE, Shields BM (2015). Patients who develop oedema on initiating thiazolidinedione therapy have an improved glycaemic response: a MASTERMIND study.  Author URL.

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External Engagement and Impact

Awards

Personal awards:

2022                Rising Star Award: European Association for the Study of Diabetes

2017                Poster Prize, Statistical Analysis of Multi-Outcome Data Conference, UK

2017                Type 2 Diabetes Award runner-up, Diabetes UK Professional Conference

2015                Clinical Science Poster Award, Diabetes UK Professional Conference

Awards for students/post-docs supervised:

2023 Pedro Cardoso – winner Diabetes UK Early Career Investigator

2022 Laura Guedemann –winner student award, International Society of Clinical Biostatistics

2022 Laura Guedemann – finalist Diabetes UK, Clinical Science poster prize

2022 Rhian Hopkins – finalist, Diabetes UK Early Career Investigator Award

2020 Katie Young – runner up UK Biobank Early Career Researcher of the Year


Committee/panel activities

2023-date        National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK),                      National Institute of Health (NIH) (USA) Group co-lead: Clinical Heterogeneity of diabetes

2022-date        National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK),                       National Institute of Health (NIH) (USA) advisory council member on heterogeneity of diabetes

2022-date        BHF, Diabetes UK and HDR UK Diabetes Data Science Catalyst national                          advisory group

2021-2023       Co-chair ADA/EASD Precision Medicine in Diabetes task force T2D treatment

2020-date       Diabetes expert working group member for PHOSP-COVID UK wide study to assess the impact of COVID-19 on patient health and their recovery

2020-date       Expert member NIHR/MRC Stratified Medicine Working Group: Using observational studies, registries and cohorts to design stratified trials

2018-date        Expert member Diabetes UK Clinical Studies Group 1: Causes of diabetes


Competitively funded studentships and postdoctoral fellowships

Wellcome Trust Early Career Fellowship 2024-2029

UKRI E3 Independent Research Fellowship 2019-2023


Invited lectures

2023                “Diabetes Endotypes: The Way Forward” Emory Global Diabetes Research Center, USA. 16/11/2023

2023                “Precision Treatment of Type 2 Diabetes: Can Clinical Phenotypes Help Optimise Therapy Choice?” South Asian Health Foundation 24th Annual Conference, Birmingham. 13/10/2023

2023                “Precision medicine in type 2 diabetes: evidence from existing data" Novo Nordisk Foundation, Denmark 31/05/2023

2023                “Optimising type 2 diabetes treatment: is precision medicine the answer?“ Leicester Diabetes Centre - Real World Evidence Unit 16/05/2023

2022                “Heterogeneity in type 2 diabetes”. CIHR-INMD Heterogeneity in Nutrition and Metabolic Health symposium, Canada 14/10/2022

2022                “Precision medicine in T2D: Modelling individual-level outcomes to target treatment” European Association for the Study of Diabetes Conference 20/09/2022

2022                “Precision Treatment of Type 2 Diabetes—Can Pathophysiological and Clinical Phenotypes Help Optimize Therapy?” American Diabetes Association conference 04/06/2022

2022                Keynote “The scope for a precision medicine approach to the treatment of type 2 diabetes.” European Diabetes Epidemiology Group 03/04/2022

2021                “Precision diabetes medicine: the devil is in the details” European Association for the Study of Diabetes Conference 29/09/2021

2021                “Precision medicine in type 2 diabetes: Using clinical features to optimise selection of treatment” CIHR-INMD NIDDK Heterogeneity of Diabetes Symposium, Canada 03/06/2021.

2021                 “Using routine electronic health data to understand COVID-19 risk in people with diabetes” Diabetes UK Professional Conference 28/04/2021.

2020               “Diabetes & COVID-19 –understanding the association between diabetes and severe COVID-19.” Diabetes UK Volunteers conference

2020                “Precision medicine in type 2 diabetes: Modelling treatment response & side-effects to optimise selection of treatment.” NIHR/MRC Stratified Medicine Working Group

2020                “Precision Medicine in Type 2 Diabetes—Using Individualized Prediction Models to Optimize Selection of Treatment” American Diabetes Association conference 14/06/2020

2019                “Is defining subtypes the best way to individualise care in Type 2 diabetes?” Diabetes UK Professional conference, Liverpool 08/03/2019

2018                “Can we use clinical features to stratify type 2 diabetes treatment?” GoDARTs Symposium Precision Medicine in Diabetes, Pitlochry, Scotland

2018                “Developing a treatment selection algorithm for second-line therapy” MASTERMIND 5 year report: Industry Partners and Stakeholders meeting, London 27/09/2021


Media Coverage

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Supervision / Group

Postgraduate researchers

  • Pedro Cardoso
  • Joshua Choma
  • Laura Guedemann
  • Rhian Hopkins
  • Thijs Jansz
  • Katie Young

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