Summary
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.
Publications
Journals
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, Nature Genetics, Vol:55, ISSN:1061-4036, Pages:1448-1461
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
Maina JG, Pascat V, Zudina L, et al. , 2023, Abdominal obesity is a more important causal risk factor for pancreatic cancer than overall obesity, European Journal of Human Genetics, Vol:31, ISSN:1018-4813, Pages:962-966
Conference
Balkhiyarova Z, Maina JG, Nouwen A, et al. , 2023, Shared genetic mechanisms and causal relationship between self-reported depression and type 2 diabetes, WILEY, ISSN:0742-3071
Lagou V, Jiang L, Ulrich A, et al. , 2023, Trans-ancestry random glucose genome-wide association studies (GWAS) meta-analysis in almost half a million individuals provides insights into diabetes pathophysiology, complications and treatment stratification, WILEY, ISSN:0742-3071