Robert Koivula
PhD
Postdoctoral Research Fellow
My research focuses on the relationship between non-alcoholic fatty liver disease (NAFLD) and type 2 diabetes (T2D), both of which are growing contributors to ill-health. NAFLD and T2D frequently co-exist but the causal relationships between them are poorly understood. Important clues are provided by human genetics: variants significantly associated with NAFLD-risk have widely-divergent effects on T2D: where some NAFLD-risk alleles are predisposing to T2D, whilst others are protective. These findings highlight heterogeneous mechanisms underlying the relationship between NAFLD and T2D.
The research techniques I employ vary from direct physiological measurements to analysis of prospective and cross-sectional biobank datasets that variously exploit the power of human genetics.
Background: I carried out my PhD training in genetic epidemiology at the Genetic and Molecular Epidemiology unit at Lund University under the supervision of Prof. Paul Franks. During my PhD training I also project managed two prospective cohort studies within IMI DIRECT and carried out a research-training placement at the MRC Epidemiology unit at Cambridge University. I joined the McCarthy group at the Oxford Centre for Endocrinology and Metabolism, and Wellcome Centre for Human Genetics in 2017 where I am a postdoctoral research fellow.
Recent publications
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Polygenic risk in Type III hyperlipidaemia and risk of cardiovascular disease: An epidemiological study in UK Biobank and Oxford Biobank.
Journal article
Pieri K. et al, (2022), Int J Cardiol
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Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: descriptive characteristics of the epidemiological studies within the IMI DIRECT Consortium.
Journal article
Koivula RW. et al, (2019), Diabetologia, 62, 1601 - 1615
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Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration.
Journal article
Wilman HR. et al, (2019), J Hepatol, 71, 594 - 602
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Prediction of pancreatic fat and analysis of its determining factors using multi-omics datasets: an IMI DIRECTstudy
Conference paper
Karaderi T. et al, (2019), DIABETOLOGIA, 62, S166 - S166
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Variation in the Plasma Membrane Monoamine Transporter (PMAT) (Encoded by SLC29A4) and Organic Cation Transporter 1 (OCT1) (Encoded by SLC22A1) and Gastrointestinal Intolerance to Metformin in Type 2 Diabetes: An IMI DIRECT Study.
Journal article
Dawed AY. et al, (2019), Diabetes Care, 42, 1027 - 1033