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.
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
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
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-+
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
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