Riccardo Marioni Research Group

Genetics and epigenetics of cognitive ageing

Section Head: Translational Epidemiology

Image
Dr Riccardo Marioni
Professor Riccardo Marioni

Research in a Nutshell

I have a background in Epidemiology and Biostatistics and am Chair of Molecular Epidemiology of Ageing. My primary research goal is to use computational models to understand the molecular mechanisms that underlie Alzheimer’s disease and to enhance prediction of the disease.

I have a passion for research into ageing and, in particular, examining the genetic and environmental contributions to health, cognitive ageing, and dementia.

In recent years, much of my research has focused on DNA methylation – chemical changes to DNA that turn genes on and off and that can be added and removed over the lifespan. These methylation marks can be influenced by genes, lifestyle, and the environment, making them ideal candidates to help us understand the interaction between nature and nurture. We are currently using novel methods to model multiple omics datasets (genetics, epigenetics, and proteomics) together to better understand the molecular mechanisms that underlie dementia and to improve risk prediction.  

Much of my group’s work is carried out using data from deeply phenotyped cohorts, such as Generation Scotland, PREVENT Dementia, and the Lothian Birth Cohorts of 1921 and 1936.

 

Marioni Group Website (external)

Image
Riccardo Marioni Research Group

People

Professor Riccardo MarioniGroup Leader
Daniel McCartneyPostdoctoral Research Associate
Karla Monterrubio-GomezPostdoctoral Research Fellow - co-supervised
Jure MurPostdoctoral Research Fellow
Yipeng ChengPhD Student - Edinburgh Helsinki Program in Human Genomics
Ola ChybowskaMRC Precision Medicine PhD student
Ella DavysonBiomedical AI PhD student (co-supervised)
Josie RobertsonECAT PhD student
Barry RyanBiomedical AI PhD student - co-supervised
Hannah SmithWT Translational Neuroscience PhD programme

 

Contact

Riccardo.Marioni@ed.ac.uk

Scientific Themes

Genetics, methylation, GWAS, prediction, ageing, cognitive decline