Principal Investigator: Dr Albert Tenesa
Department: Roslin Institute
Institution: University of Edinburgh
University of Edinburgh, Roslin Institute, Easter Bush, Roslin, EH25 9RGTags: 6684, biomarkers, environment, genetics, lifespan, longevity, risk factors
We aim to identify the genetic factors that contribute to longevity, to construct
prediction models of death risk that combine genetic and environmental risk factors,
and to identify biomarkers or predictors of forthcoming death.
Understanding the causes of longevity will help to understand the ageing process
and how it relates to disease onset. In turn, this will lead to better disease prevention
policies and more effective intervention mechanisms that ultimately will delay death.
Understanding the molecular mechanisms that lead to death could offer the
opportunity to develop drugs that could reverse or slow down the processes that
lead to death.
At recruitment, the UK Biobank participants were measured for a range of diseaserelated
intermediate phenotypes and their blood and urine taken for measuring
other biomarkers of disease. In addition, DNA was extracted and their genetic makeup
is currently been measured. We will correlate the biomarkers measurements and
the DNA variations with age at death. We will use information of dead and alive
participants that have survived to their current age. Once the contributing factors
have been identified we will combine all the risk factors to give the best predictor
model of longevity and death.
Data only (no samples), including baseline physical measurements, questionnaire
information, genetic and biochemistry data, are required for the full cohort. We
request repeated measures from the repeated assessment when available
Last updated Apr 9, 2015