Dr Hanieh Yaghootkar
Lecturer in Biosciences
Hanieh is a lecturer in genetics of cardiometabolic disorders. She obtained her PhD in 2013 in genetics of human complex traits from University of Exeter. In 2017, she was awarded a prestigious Diabetes UK RD Lawrence fellowship to study healthy fat genes or genes associated with a favourable adiposity phenotype. Hanieh leads genetic studies to understand what protects some obese people from developing Type 2 diabetes. She uses MRI scans of abdominal fat to understand how certain genes influence the way we store fat and if they can protect people from developing Type 2 diabetes or other cardiometabolic diseases. She is also using genetics to unravel the aetiology of cardiometabolic diseases and their links. She has been using different methods from Mendelian randomization studies to more sophisticated clustering analysis to find causal directions between biomarkers (such as body fat distribution, adiponectin, lipids etc) and risk of cardiometabolic diseases.
MD, MSc, PhD
Newest selected publications
Martin, S., Tyrrell, J., Thomas, EL., Bown, MJ., Wood, AR., Beaumont, RN., (2022) 'Disease consequences of higher adiposity uncoupled from its adverse metabolic effects using Mendelian randomisation'. eLife, 11. pp. 1 - 33. ISSN: 2050-084X Open Access Linket al.
Martin, S., Sorokin, EP., Thomas, EL., Sattar, N., Cule, M., Bell, JD. and (2021) 'Estimating the Effect of Liver and Pancreas Volume and Fat Content on Risk of Diabetes: A Mendelian Randomization Study'. Diabetes Care, 0 (in press). pp. 1 - 9. ISSN: 0149-5992 Open Access Linket al.
Martin, S., Cule, M., Basty, N., Tyrrell, J., Beaumont, RN., Wood, AR., (2021) 'Genetic Evidence for Different Adiposity Phenotypes and Their Opposing Influences on Ectopic Fat and Risk of Cardiometabolic Disease'. Diabetes, 70 (8). pp. 1843 - 1856. ISSN: 0012-1797 Open Access Linket al.
Heald, AH., Martin, S., Fachim, H., Green, HD., Young, KG., Malipatil, N., (2021) 'Genetically defined favourable adiposity is not associated with a clinically meaningful difference in clinical course in people with type 2 diabetes but does associate with a favourable metabolic profile'. Diabetic Medicine, 38 (9). pp. e14531. ISSN: 0742-3071 Open Access Linket al.
Erzurumluoglu, AM., Liu, M., Jackson, VE., Barnes, DR., Datta, G., Melbourne, CA., (2020) 'Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci'. Molecular Psychiatry, 25 (10). pp. 2392 - 2409. ISSN: 1359-4184et al.