Principal Investigator: Prof. Dr. Karsten Borgwardt
Department: Biosystems Science and Engineering
ETH Zurich, Biosystems Science and Engineering, Mattenstrasse 26, Basel
4058 , Switzerland
Funding body: Internally funded from PI’s research budget
1a: Our research will focus on the topic of mortality prediction:
Can the death risk of a patient in the near/mid future be predicted from
genotypic data and current health status data?
The UKB is an excellent data source for examining this connection, as it provides
genotypic data (“Genomics”), current physical & health-state data (“UK
Assessment Centre data”), and information on the death of participants (“Death
We focus here on mortality as a phenotype. Of course, this implicitly includes all
health conditions that have been recorded as cause of death in at least one
patient in the UKB.
1b: Being able to predict mortality is at the heart of improving the prevention,
diagnosis and treatment of a wide range of serious and life-threatening illnesses,
the stated goal of the UK Biobank.
1c: We will employ machine learning algorithms, that is computer protocols that
detect patterns in data, to find out if there are clear discrepancies between the
genetic & health record data of persons that are going to die within a certain
time interval and those who are going to survive.
1d: Full cohort for which genotypic data is or will be available