Research on the genetics of frailty indicates heritability estimates of 30-50% from twin studies, with shared genetic influences on other aging-related traits. Genome-wide association studies (GWAS) report more modest heritability, ~11%, reflecting the polygenic nature of frailty, where many genes contribute small effects. Key genetic pathways involve inflammation, mitochondrial function, and oxidative stress, while environmental and lifestyle factors play a significant role, underscoring the multifactorial nature of frailty.
This research applies multivariate GWAS, mendelian randomisation, and polygenic prediction methods to explore the complex etiology of frailty and its relationship with adverse health outcomes. Findings are based on data from the UK Biobank, the English Longitudinal Study of Ageing, the Lothian Birth Cohort 1936, and the Prospective Imaging Study of Ageing cohorts. The presentation will also engage in discussion on the connections between genetic findings, neuroimaging markers, and medication data.
Speaker
Jonny is a third-year PhD student at the University of Edinburgh, currently on placement at the QIMR Berghofer Medical Research Institute in Brisbane. With experience working on pivotal studies such as the UK Biobank, the English Longitudinal Study of Ageing, the Lothian Birth Cohort 1936, and the Prospective Imaging Study of Ageing, Jonny focuses on the genetic prediction of frailty, gene-environment relationships, and the integration of genetic, neuroimaging, and medication data.
In addition to employing statistical approaches to age-related disease and health, Jonny is committed to improving public understanding of scientific findings and the transferability of knowledge. After completing this placement in January, Jonny will return to Scotland to complete the last eight months of his PhD.
