Funding, Datasets, and Collaborators
We are currently supported by:
Alzheimer's Research UK, major project grant "Omics prediction of Alzheimer's disease", 2017 - 2020, £166,832.
NIH U01 grant "Validation and Optimization of Epigenetic Clocks", 2018-2023, PI Steve Horvath UCLA, sub-award $143,850
Wellcome Trust Translational Neuroscience PhD 1+3 year scholarships for Anna Stevenson and Rob Hillary.
The main datasets we work with are:
Alzheimer's Research UK, major project grant "Omics prediction of Alzheimer's disease", 2017 - 2020, £166,832.
NIH U01 grant "Validation and Optimization of Epigenetic Clocks", 2018-2023, PI Steve Horvath UCLA, sub-award $143,850
Wellcome Trust Translational Neuroscience PhD 1+3 year scholarships for Anna Stevenson and Rob Hillary.
The main datasets we work with are:
Our key external collaborators are:
- Markus Ralser and Aleksej Zelezniak (Crick Institute, mass spec proteomics)
- Simon Lovestone and Liu Shi (Oxford, DPUK SOMAscan proteomics)
- Matt Robinson (IST Vienna, statistical methods development)
- Peter Visscher, Naomi Wray, Allan McRae (University of Queensland, all things omics)
- Steve Horvath (UCLA, epigenetic clocks)
- Caroline Relton and the Epigenetic Epidemiology Team (University of Bristol, GWAS/EWAS/clocks/prediction)
Our main local collaborators are:
- Ian Deary and the LBC team
- David Porteous, Caroline Hayward, Andrew McIntosh, Kathy Evans and the GS team
- Tamir Chandra (ARCH/CHIP and epigenetic clocks)
- Catalina Vallejos and Tim Cannings (stats methods)
- Craig Ritchie and the PREVENT and EPAD teams
Riccardo co-supervises the following PhD students:
- Eleanor Conole (PI Simon Cox)
- Jure Mur (PI Tom Russ)
- Kate Doust (PI Michelle Luciano)
- Dan Simpson (PI Tamir Chandra)