Population-based stratification of individual cardiovascular risk — a multi-omics approach

Mika Ala-Korpela, Ph.D. and Johannes Kettunen, Ph.D.

Project leaders
Mika Ala-Korpela, Ph.D.
Johannes Kettunen, Ph.D.

University of Oulu, Biocenter Oulu, Faculty of Medicine, Computational Medicine

The Computational Medicine Research Team website is at http://computationalmedicine.fi

Focus area spearhead project web page:

About the project

The burden of common metabolic disorders – e.g., obesity, diabetes and cardiovascular diseases – is enormous both for individuals and societies. Our team strives to improve understanding of the molecular physiology and disease aetiology underlying common metabolic disorders. To achieve these goals, we take a systems epidemiology approach, i.e., combining genetics, transcriptomics and metabolomics in large-scale population-based cohorts, biobanks and clinical trials. It is becoming apparent that large-scale omics profiling will transform our understanding of diseases and thereby also impact risk assessment, public health and clinical practices towards stratified medicine.

Project details

  1. Background and Significance
  2. Recent Progress
  3. Future Goals
  4. Selected Publications
  5. Research Group Members
  6. National and International Activities

Last updated: 15.10.2018