COLLEGE OF MEDICINE AND HEALTH
Medicine, Nursing and Allied Health Professions

Loading content
Dr John Dennis

Dr John Dennis

Research Fellow in Medical Statistics

 07734 940921

 RILD Building 

 

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

Overview

John is a Research Fellow in Medical Statistics at the University of Exeter Medical School. He joined the Health Statistics group in 2014, completing his PhD in Medical Statistics under Professor William Henley, Dr Beverley Shields and Professor Andrew Hattersley. In 2018 he joined Professor Hattersley’s diabetes research team full-time as an applied statistical researcher.

John’s 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. John is applying data science and advanced statistical methods to better understand the benefits and risks of each drug option, in particular which patients are likely to have the best response and/or lowest risk of side effects, and to what extent response and side-effects go hand-in-hand. He was awarded runner-up in the Diabetes UK Type 2 Diabetes Research Prize in 2017 and won the Diabetes UK Lily Clinical Science Poster Award in 2015.

John is also developing a more general methodological framework for precision medicine research using as a first discovery step ‘big’ data from UK routine primary care records (CPRD), followed by validation of findings in individual participant data from existing clinical trials available from Clinical Study Data Request and the YODA Project.

Prior to moving to Exeter, John trained at the London School of Hygiene & Tropical Medicine and has 5 years’ experience as a health researcher in the financial services industry, where he specialised in longevity modelling. He has also worked a research analyst for the Cancer Council in Australia and for the NHS in the UK. Across these roles he developed his interest in applied statistical research and chronic disease epidemiology that led him to Professor Hattersley’s team at the University of Exeter.

Qualifications

PhD Medical Statistics (University of Exeter)

MSc Control of Infectious Diseases (London School of Hygiene and Tropical Medicine)

BSc (Hons) Psychology (University of Nottingham)

Research group links

Research

Research interests

  • Precision/Stratified medicine: Stratification of therapy in type 2 diabetes as part of the MRC-funded APBI Stratification and Extreme Response Mechanism IN Diabetes (MASTERMIND) consortium
  • Joint longitudinal-survival modelling
  • Clinical prediction models
  • Synthesis of evidence from observational and trial datasets
  • Methods to strengthen inference from routine clinical practice databases

Research projects

MRC-funded APBI Stratification and Extreme Response Mechanism IN Diabetes (MASTERMIND) consortium.

Publications

Key publications | Publications by category | Publications by year

Key publications


Dennis J, Shields B, Henley W, Jones A, Hattersley A (In Press). 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 Full text.
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 Full text.
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 Full text.
Curtis HJ, Dennis JM, Shields BM, Walker AJ, Bacon S, Hattersley AT, Jones AG, Goldacre B (In Press). 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.  Full text.
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 Full text.
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 Full text.

Publications by category


Journal articles

Dennis J, Shields B, Henley W, Jones A, Hattersley A (In Press). 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 Full text.
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 Full text.
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 Full text.
Curtis HJ, Dennis JM, Shields BM, Walker AJ, Bacon S, Hattersley AT, Jones AG, Goldacre B (In Press). 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.  Full text.
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 Full text.
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 Full text.
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 DPP4-inhibitor therapy. Diabetes Care Full text.
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

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.  Full text.
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(1c) 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.  Full text.
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.  Full text.
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.  Full text.

Publications by year


In Press

Dennis J, Shields B, Henley W, Jones A, Hattersley A (In Press). 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 Full text.
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 Full text.
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 Full text.
Curtis HJ, Dennis JM, Shields BM, Walker AJ, Bacon S, Hattersley AT, Jones AG, Goldacre B (In Press). 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.  Full text.
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 Full text.
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 Full text.

2019

Dennis J (2019). Precision Medicine in Type 2 Diabetes.  Abstract.  Full text.
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.

2018

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.  Full text.
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 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 DPP4-inhibitor therapy. Diabetes Care Full text.
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.

2017

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(1c) 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.
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.

2016

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.  Full text.

2015

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.  Full text.
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.
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.  Full text.

John_Dennis Details from cache as at 2019-08-23 07:30:52

Refresh publications

External Engagement and Impact

Awards

  • Poster prize runner-up. Statistical analysis of multi-outcome data conference, 2017
  • Diabetes UK Type 2 diabetes research award runner-up. Diabetes UK professional conference, 2017
  • Diabetes UK Lily Clinical Science Poster Award, Diabetes UK professional conference, 2015

Media Coverage

Feb 2018: Precision medicine in type 2 diabetes: Insulin resistance markers associated with DPP-IV inhibitor response in type 2 diabetes

Feb 2018: Diabetes: Clinical markers of glycaemic response to DPP4 inhibitor therapy

Dec 2015: New perk for MPs: longer life

Teaching

Supervision / Group

Back | Edit Profile