- Genetic Architecture of Type 2 Diabetes in South Indians (Charvi Nangia, Sundararajan Srinivasan, Cyrielle Maroteau, Radha Venkatesan, Colin N.A. Palmer)
- Convolutional neural network architectures for image classification and detection (Mohammad G. Syed, Stephen McKenna, Mohan V., Emanuele Trucco)
- Big Data Technologies for Storage and Querying of Large-Scale Medical Data in Clinical Genetic Research (Gittu George, Philip Appleby, Alex Doney, V. Mohan, Radha V)
- Deep Learning in Genomics (J. Divyananda, S. McKenna, V. Prathiba, V. Mohan and E. Trucco)
- Association of VEGF Gene polymorphisms with Diabetic Retinopathy in GoDARTS (Aravind Lathika Rajendrakumar, Moneeza K Siddiqui, Yu Huang, SimonaHapca, PrathibaV, Kareen, Alex S. F. Doney, Colin N. A. Palmer)
- Celebration-Data driven cluster analysis of type 2 diabetes data from Tayside and Fife, Scotland (Anand Thakarakkattil Narayanan Nair, Sushrima Gan, AdemY Dawed, SimonaHapca, Louise Donnelly, Ewan R Pearson, School of Medicine, University of Dundee)
- Clinical Determinants of Glycemic Response to Dipeptidyl Peptidase-4(DPP-4) Inhibitors in Type 2 Diabetes (Sushrima Gan, Adem Y Dawed, Louise Donnelly, Anand Nair, Simona Hapca, V Mohan , Ewan R Pearson)
- Quantifying the Effect of Image Centering Towards Strandardization of Retinal Vascular Measurements (MRK Mookiah, S McGrory, S Hogg, J Price, R Forster, TJ MacGillivray, E Trucco)
- Exploring Relationship Between Retinal Vasculature and Dementia (A S Nar, G Pradeepa, Y Huang, S Hapca, E Trucco, A S F Doney)
- Genetic variants and polygenic risk score associated with the HDL-C response to statin treatment: a GoDARTS study (Mehul K Chourasia, Moneeza K Siddiqui, Sundararajan Srinivasan, Phil Appleby , Simona M Hapca, Ewan R Pearson, R Guha Pradeepa, Radha Venktesan, Alex SF Doney, Colin NA Palmer)
Do DPP-4 inhibitors differ in efficacy between patients of Asians and White ethnicity. A systemic review and meta analysis. (Sushrima Gan, Adem Dawed, Anand Nair, Louise Donnelly, RM Anjana, V Mohan, Ewan R Pearson)
Genetic Variants Associated with Lower Age of Onset of Type 2 Diabetes in South Indians – A Pilot Study. (Charvi Nangia, Sundararajan Srinivasan, Mehul K Chourasia, Venkatesan Radha, Viswanathan Mohan, Colin NA Palmer)
Patient Stratification by Drug Response using Deep Learning. (J. Divyananda, S McKenna, Prathiba, E. Trucco)
Phenotype at diagnosis and disease progression over a 10-year period: a data driven approach in a large population with type 2 diabetes. (Anand Thakarakkattil Nair, Louise Donnelly, Simona Hapca, Sushrima Gan, Adem Y Dawed, RM Anjana, Viswanathan Mohan, Ewan R Pearson)
Neutrophil to Lymphocyte Ratio as a Predictor of Diabetic Retinopathy Incidence in a Scottish Population. (Aravind Lathika Rajendrakumar, Simona Hapca, Yu Huang, Anand Thakarakkattil Narayanan Nair, Mehul Kumar Chourasia, Shun-Yuen Kwan, Moneeza K Siddiqui, Prathiba Vijayaraghavan, Graham Leese, Alex SF Doney, Viswanathan Mohan, Colin NA Palmer)
Comparison of the effect of Polygenic Risk Scores (PRSs) on baseline HDL-c levels between white European and Asian Indian type 2 diabetes mellitus population: A pilot study. (Mehul K Chourasia, Charvi Nangia, Simona Hapca, Moneeza K Siddiqui, Sundararajan Srinivasan, Ewan R Pearson, Pradeepa R, Venkatesan Radha, Viswanathan Mohan, Colin NA Palmer)
Relationship between Clinical Risk Factors and Retinal Vascular Measurements Among Type 2 Diabetes Patients: A GoDARTS Study. (A.S. Nar, Y. Huang, M.R.K. Mookiah, M.K. Chourasia, E. Trucco, A.S.F. Doney for the INSPIRED investigators)
Relationship between Clinical Risk Factors and Retinal Vascular Measurements Among Type 2 Diabetes Patients: A GoDARTS Study. (Gittu George, Sushrima Gan, Philip Appleby, Yu Huang, Alex Doney for the Inspired investigators)
Towards Standardization of Retinal Vascular Measurements Mookiah Muthu Rama Krishnan; McGrory, Sarah; Hogg, Stephen; Price; Jackie, Forster, Rachel; MacGillivray, Thomas J; Trucco, Emanuele.
Precision Diabetes Is Slowly Becoming a Reality Viswanathan Mohan; Venkatesan Radha
A framework to generate synthetic test image sets parameterized by difficulty level Mohammad Ghouse Syed
Computional Retinal Image Analysis: Tools, Applications and Perspectives. 1st Edition Editors Emanuele Trucco, Tom MacGillivray, Yanwu Xu
Computional Retinal Image Analysis: Tools, Applications and Perspectives 1st Edition Chapter 9 Validation – Emanuele Trucco, Andrew McNeil, Sarah McGrory, Lucia Ballerini, Muthu Rama Krishnan Mookiah, Stephen Hogg, Alexander Doney, Tom MacGillivray
Computional Retinal Image Analysis: Tools, Applications and Perspectives 1st Edition Chapter 20 The challenges of assembling, maintaining and making available large data sets of clinical data for research – Emily R Jefferson and Emanuele Trucco
Novel Genetic Lucus Influencing Retinal Venular Tortuosity Is Also Associated With Risk of Coronary Artery Disease. Abirami Veluychamy, Lucia Ballerini, Veronique Vitart, Katharina Schraut, Mirna Kirin, Harry Campbell, Peter K. Joshi, Devanjali Relan, Sarah Harris, Ellie Brown, Suraj S. Vaidya, Baljean Dhillon, Kaixin Zhou, Ewan R. Pearson, Caroline Hayward, Ozren Polasek, Ian J. Deary, Thomas MacGillivray, James F. Wilson, Emanuele Trucco, Colin N.A. Palmer, Alex S.F. Doney
PheGWAS: A new dimension to visualize GWAS across Multiple phenotypes. Gittu George, Sushrima Gan, Yu Huang, Philip Appleby, A.S. Nar, Radha Venkatesan, Viswanathan Mohan, Colin N.A. Palmer and Alex S.F. Doney
The impact of phenotype, ethnicity and genotype on progression of Type 2 diabetes mellitus. Anand Thakarakkattil Narayanan Nair, Louise A. Donnelly, Adem Y. Dawed, Sushrima Gan, Ranjit M. Anjana, Mohan Viswanathan, Colin N A Palmer, Ewan R Pearson.
Clinical Profile of Elderly Patients (Over 90 Years) with Type 2 Diabetes Seen at a Diabetes Center in South India. Mohan Viswanathan, Anjana Ranjit Mohan, Unnikrishnan Ranjit, Gupta Prasanna Kumar, Routary Philips, Jebarani Saravanan, Venkateson Ulagamathesan, Uma Sankari Ganeson, Gini Venisha Kumaradas, Ashok Kumar Rajendran, Rahulashankiruthiyayan Thangarajan, Pradeepa Rajendra, Shanithi Rani Coimbatore Subramaian.
Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population: a data-driven cluster analysis: the INSPIRED study. Ranjit Mohan Anjana, Viswanathan Baskar, Anand Thakarakkattil Narayanan Nair, Saravanan Jebarini, Moneeza Kalhan Siddiqui, Rajendra Pradeepa, Ranjit Unnikrishnan, Colin N A Palmer, Ewan R Pearson, Viswanathan Mohan.
Efficacy of Modern Diabetes Treatments DPP-4i, SGLT-2i, and GLP-1RA in White and Asian Patients With Diabetes: A Systematic Review and Meta-analysis of Randomized Controlled Trials. Sushrima Gan, Adem Y Dawed, Louise A Donelly, Anand TN Nair, Colin NA Palmer, Viswanathan Mohan, Ewan R Pearson.
Elderly patients aged 90 years and above, in South India.
Diabetes mellitus affects a large number of the elderly population. Diabetes and its complications could reduce the quality of life of the elderly and increase the healthcare costs of the society. Diabetes increases the risk of cardiovascular mortality in older people and the management of diabetes in the elderly requires special care and attention. The NIHR funded the following research “Clinical Profile of Elderly Patients (Over 90 Years) with Type 2 Diabetes Seen at a Diabetes Center in South India”.
The conclusion of the research is Asian Indians with Type 2 Diabetes Mellitus and aged ≥ 90 years have significant differences and this is seen in their clinical profile compared with younger Type 2 Diabetes Mellitus patients.
Clinical profile and complications of elderly patients aged 90 years and above seen at a diabetes centre in South India. Mohan Viswanathan, Anjana Ranjit Mohan, Unnikrishnan Ranjit, Gupta Prasanna Kumar, Routary Philips, Jebarani Saravanan, Venkateson Ulagamathesan, Uma Sankari Ganeson, Gini Venisha Kumaradas, Ashok Kumar Rajendran, Rahulashankiruthiyayan Thangarajan, Pradeepa Rajendra, Shanithi Rani Coimbatore Subramaian.
PhD Student Symposium 2020
held an online PhD student Symposium where our students in Dundee and India presented their research findings and progress of their studies. The Symposium was held over two dates, 20th and 28th October with students giving presentation to the whole INSPIRED team. Programme 20th October and 28th October
Mehul Chourasia – ‘Heterogeneity in genetic architecture for HDL- Cholesterol levels between Scottish and South Indian population with type 2 diabetes’
Gittu George – ‘PheGWAS – The intelligent cube of possibilities in action’
Mohammad Ghouse Syed – ‘Estimating clinical parameters and risk factors from retinal images using deep learning in GoDARTS bio-resources’
Sushrima Gan – ‘A Comparative study on response to DPP 4i, SU and TZD among White Europeans and Asian Indians’
Anand TN Nair –‘Phenotypic and genotypic determinants of glycemic deterioration in South Indian T2D population’
Aditya Nar – ‘Comparing Asian and Scottish retinal vasculature’
Lakshmi Karthikeyan – ‘Secular trends in prevalence of diabetes, prediabetes and its association with lifestyle factors in a rural south Indian population’
Charvi Nangia – ‘Selection Pressures on the ACE2 Gene’
Jyothsna Divyananda – ‘Predicting the temporal evolution of patient parameters in a diabetic population using Recurrent Neural Networks’
Aravind Lathika Rajendrakumar – ‘Neutrophil lymphocyte ratio as a Predictor of diabetic retinopathy Incidence in the Scottish population’
Sneha Janaki – ‘From GWAS to Functional Studies in the South Indian Population’
Yogaprabhu Saravanan – ‘From GWAS to Functional Studies in the South Indian Population’
THANDAV – Taking HIIT ANd Dance to Adolescents for Victory over NCDs
The Madras Diabetes Research Foundation were awarded £150K in February 2020 from the Medical Research Council to investigate a novel high intensity, short interval, dance intervention for non-communicable disease (NCD) prevention in Asian Indian adolescent girls.
The University of Dundee’s NIHR Global Health Research Unit on Global Diabetes Outcomes Research project facilitated the collaboration between our partners from the Madras Diabetes Research Foundation and pupils from Madras College, St Andrews to an exercise infused form of high intensity South Indian Bollywood style dancing. Dance workshops have also been held in Chennai, Mumbai and New Delhi. The research project will see further collaborations between the Madras Diabetes Research Foundation and the University of Dundee’s Institute for Sport and Exercise.
The project held a second PhD student Symposium when students based in Dundee and Chennai presented their research. The Symposium was held over three dates.
Programme 19 March 24 March 26 March
Anand Thakarakkattil Narayanan Nair ‘Genetic determinant of diabetes progression’
Charvi Nangia ‘Recent positive selection affecting age at onset of Type 2 Diabetes’
Jyothsna Divyananda ‘Recurrent Neural Networks Multivariate Forecasting’
Gittu George ‘iPheGWAS in action’
Mehul Chourasia ‘Are lower HDL-c levels among the South Indian diabetic cohort compared with the Scottish diabetic population genetically driven?? A follow-up work’
Sneha Janaki ‘Genome Wide Association Studies in Type II diabetes in South Indian population’
Yogaprabhu Saravanan ‘Genome Wide Association Studies in Type II diabetes in South Indian population’
Aravind Lathika Rajendrakumar ‘RHAPSODY Multi-omics Data to Predict 10-year Incidence of Diabetic Retinopathy in the GoDARTS Cohort’
Mohammad Ghouse Syed ‘Retinal biomarkers for systemic conditions via explainable artificial intelligence’
Lakshmi Karthikeyan ‘Secular trends in the prevalence of diabetes, prediabetes and its association with lifestyle factors in a rural south Indian population’
Sushrima Gan ‘Clinical Determinants of Drug response to SU and TZD – a study on White Europeans and Asian Indians’
Aditya Nar ‘Retinal Vascular Features among South Indians diabetic patients’