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, 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., 2018, Genetic determinants of risk in pulmonary arterial hypertension: international case-control studies and meta-analysis, Lancet Respiratory Medicine, ISSN:2213-2600
et al., 2018, A neurobiological pathway to smoking in adolescence: TTC12-ANKK1-DRD2 variants and reward response, European Neuropsychopharmacology, Vol:28, ISSN:0924-977X, Pages:1103-1114
et al., 2018, Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals, Nature Genetics, Vol:50, ISSN:1061-4036, Pages:1112-+
et al., Multi-phenotype epigenome-wide association analysis of fasting glucose and insulin in 981 Finnish individuals, ESHG 2018, Nature Publishing Group, ISSN:1018-4813