Centre for Genomic & Experimental Medicine
Centre for Genomic & Experimental Medicine

Riccardo Marioni Research Group

Genetics and epigenetics of cognitive ageing

 Section: Medical Genetics 

Riccardo Marioni
Dr Riccardo Marioni - Chancellor’s Fellow

Research in a Nutshell

I am a tenured Chancellor’s Fellow with a background in Epidemiology and Biostatistics. 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. My group’s work is at the intersection of the biomedical and social sciences.

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.

Much of my group’s work is carried out using data from population-based cohorts, such as Generation Scotland, the Lothian Birth Cohorts of 1921 and 1936, and UK Biobank.

Riccardo Marioni research group 11.2018

People

Dr Riccardo Marioni Group Leader
Daniel McCartney Postdoctoral Research Associate
Anna Stevenson PhD Student 
Daniel Simpson PhD Student (co-supervised)
Joeri Meijsen

PhD Student (co-supervised)

Robert Hillary PhD Student
Anne Seeboth PhD Student

Contact

Riccardo.Marioni@igmm.ed.ac.uk

Previous Team Members

Olivia Hamilton (2017), Anders Jesperson (2018), Rebecca Madden (2018). Wellcome Trust Translational Neuroscience PhD rotation projects

XiaoXiao Xie, 2018 MSc Bioinformatics

Dominique Ding, 2016 MSc Quantitative Genetics and Genome Analysis

Daniel Peng, 2016, MSc Cognitive Neuroscience

Jing Guo, 2015, MSc Quantitative Genetics and Genome Analysis

 

Collaborations

  • Doctor Tamir Chandra, University of Edinburgh
  • Professor Ian Deary, University of Edinburgh 
  • Doctor Kathy Evans, University of Edinburgh
  • Professor Andrew McIntosh, University of Edinburgh
  • Professor Craig Ritchie, University of Edinburgh
  • Generation Scotland/STRADL research team, University of Edinburgh
  • Lothian Birth Cohort research team, University of Edinburgh
  • Professor Peter Visscher, University of Queensland
  • Professor Naomi Wray, University of Queensland
  • Professor Steve Hovath, UCLA 
  • Doctor Sarah Hagg, Karolinska Institutet
  • Professor Caroline Relton, University of Bristol
  • Doctor Matthew Robinson, University of Lausanne

Partners and Funders

  • Gertrude Winifred Gear Fund, University of Edinburgh College of Medicine and Veterinary Medicine (£50,922) and Wellcome Trust Institutional Strategic Support Fund (£57,878). Epigenetic, structural brain MRI, and cognitive changes over the eighth decade. Duration: 01/03/16 - 01/12/16. Role: PI 
  • ESRC: Network Grant ES/N000382/1 (£199,513). INTERpreting epigenetic signatures in STudies of Early Life Adversity (InterStELA). PI: Dr Laura D Howe:University of Bristol. Duration: 01/10/2015 - 30/09/2017. Role: Co-I.
  • ESRC: Research Grant ES/N000498/1 (£667,460). Epigenetics: Environment, Embodiment and Equality (E4). PI: Professor Caroline Relton: University of Bristol. Duration: 01/10/2015 - 30/09/2018. Role: Co-I (10% time commitment).
  • NIH: U34 Research Grant ($953,566). The epiGenetIcs Leads to aGe-relAted diseases (GILGA-mesh) Network. PI: Professor Steve Horvath (UCLA). Duration: 01/10/2015 - 30/09/2018. Role: Co-I (15% time commitment, $32,400 sub-recipient award).
  • Alzheimer's Research UK ARUK-PG2017B-10 (£166,833). Omics prediction of Alzheimer's disease. Duration : 01/10/2017 - 30/09/2020. Role: PI
  • University of Edinburgh Pilot Grant, Centre for Cognitive Aging and Cognitive Epidemiology (£5,404). A non-invasive mouse DNA methylation age predictor for longitudinal studies. Duration: 01/10/2017 - 31/12/2018. Role: PI

Scientific Themes

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