Imperial College London

Dr Marika Kaakinen

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Visiting Researcher



+44 (0)20 7594 6537m.kaakinen Website




E301Burlington DanesHammersmith Campus





Marika Kaakinen, MSc, PhD, develops and applies statistical analysis methods for genomic/omics research of metabolic health, including type 2 diabetes. She works with various types of omics data, including metabolomics, proteomics, whole-genome sequencing and gut microbiome data.




Wang Z, Emmerich A, Pillon NJ, et al., 2022, Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention, Nature Genetics, Vol:54, ISSN:1061-4036, Pages:1332-+

Prokopenko I, Maina J, Pascat V, et al., 2022, Abdominal obesity, rather than overall obesity, is a causal risk factor for pancreatic cancer

Okbay A, Wu Y, Wang N, et al., 2022, Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals., Nat Genet, Vol:54, Pages:437-449

Ronkainen J, Nedelec R, Atehortua A, et al., 2022, LongITools: Dynamic longitudinal exposome trajectories in cardiovascular and metabolic noncommunicable diseases, Environmental Epidemiology, Vol:6

Chen J, Spracklen CN, Marenne G, et al., 2021, The trans-ancestral genomic architecture of glycemic traits, Nature Genetics, Vol:53, ISSN:1061-4036, Pages:840-860

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