The genomic potential of the Aspirin in Reducing Events in the Elderly and Statins in Reducing Events in the Elderly studies

Paul Lacaze, Robyn Woods, Sophia Zoungas, John McNeil, on behalf of the ASPREE Investigator Group, ASPREE Healthy Ageing Biobank, the STAREE Investigator Group

Research output: Contribution to journalArticleOtherpeer-review

7 Citations (Scopus)


Human genetic studies are continuing to increase in size and scale, but the availability of well-phenotyped longitudinal cohorts remains rare. Significant infrastructure, investment and effort are required to establish and maintain high-quality cohorts with biobanking, genetic consent and repeated clinical data measurements. Australia currently has two such cohorts established by Monash University as part of community-based clinical trials in the elderly. Both studies involve capture of demographic, mood, cognitive performance, physical function, neuroimaging, audiometry and various clinical data types over an average of 5 years. The ASPirin in Reducing Events in the Elderly (ASPREE) cohort is comprised of 16 703 Australians aged over 70 years and 2411 Americans aged over 65 years – recruited and randomised to either daily low-dose aspirin or placebo to examine the preventative benefit of aspirin on a range of clinical outcomes. The STAtins in Reducing Events in the Elderly (STAREE) study uses a similar model, and is currently recruiting 10 000 men and women aged over 70 years across Australia randomised to either low-dose statins or placebo. Both cohorts involve biobanking and consent for genetic research, with recruitment through a network of general practitioners in the community. A combination of whole-genome and targeted sequencing approaches will allow gene–phenotype relationships to be explored within the context of detailed longitudinal data. Genetic risk factors for late-onset high-burden conditions, such as cardiovascular disease and dementia will be investigated, plus research into other areas, such as healthy ageing and disease resilience will be possible due to unique phenotypes of health.

Original languageEnglish
Pages (from-to)461-463
Number of pages3
JournalInternal Medicine Journal
Issue number4
Publication statusPublished - 1 Apr 2017


  • biobank
  • epidemiology
  • genomics
  • public health

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