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, is a lecturer in Statistical Multi-Omics at the University of Surrey and a Visiting Researcher at Imperial College London. She 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.




Alves AC, De Silva NMG, Karhunen V, et al., 2019, GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI, Science Advances, Vol:5, ISSN:2375-2548

Rhodes CJ, Batai K, Bleda M, et al., 2019, Genetic determinants of risk in pulmonary arterial hypertension: international case-control studies and meta-analysis, Lancet Respiratory Medicine, Vol:7, ISSN:2213-2600, Pages:227-238

Linner RK, Biroli P, Kong E, et al., 2019, Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences, Nature Genetics, Vol:51, ISSN:1061-4036, Pages:245-+

Prokopenko I, Miyakawa G, Zheng B, et al., 2019, Alzheimer's disease pathology explains association between dementia with Lewy bodies and APOE-ε4/TOMM40 long poly-T repeat allele variants, Alzheimer's and Dementia: Translational Research and Clinical Interventions, Vol:5, Pages:814-824


Kaakinen M, Jiang L, Lagou V, et al., 2018, Large-scale genetic meta-analysis and correlation analysis in up to 61,457 Europeans show large genetic overlap between fasting and random plasma glucose levels, 50th European-Society-of-Human-Genetics (ESHG) Conference, NATURE PUBLISHING GROUP, Pages:311-311, ISSN:1018-4813

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