Imperial College London

Dr Marika Kaakinen

Faculty of MedicineSchool of Public Health

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.




Maina JG, Balkhiyarova Z, Nouwen A, et al., 2023, Bidirectional Mendelian Randomization and Multiphenotype GWAS Show Causality and Shared Pathophysiology Between Depression and Type 2 Diabetes., Diabetes Care, Vol:46, Pages:1707-1714

Lagou V, Jiang L, Ulrich A, et al., 2023, GWAS of random glucose in 476,326 individuals provide insights into diabetes pathophysiology, complications and treatment stratification., Nat Genet, Vol:55, Pages:1448-1461

Maina JG, Pascat V, Zudina L, et al., 2023, Abdominal obesity is a more important causal risk factor for pancreatic cancer than overall obesity., Eur J Hum Genet, Vol:31, Pages:962-966

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

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