Research Associate in Statistical Genetics
The postholder will lead the genetic and epigenetic analyses as part of a five year MRC Senior Clinical Fellowship (SCF) project titled, Pathways to Psychosis among Cannabis Users, awarded to Dr Marta Di Forti.
The postdoctoral researcher will build genetic pathway scores from genome-wide association studies in Cannabis Use Disorder (CUD) and Psychotic Disorders, using existing software, and with the scope to develop novel methodology in this area. In parallel, he/she will perform epigenetics studies, analysing genome-wide DNA methylation data from CUD samples. The genetic pathway scores and the EWAS data will be combined to test for prediction of CUD and Psychotic Disorder case-control status in independent datasets, such as UK Biobank.
This novel work offers the unique opportunity to analyse multidimensional biological and clinical data for prediction modelling, to increase our understanding of the role of cannabis in psychosis.
This role will be held at the SGDP Centre, and the postholder will work closely with researchers in the Statistical Genetics Unit, led by Professor Cathryn Lewis. The research studies will be carried out in close collaboration with world leading experts including Professor Jon Mill, Dr Emma Dempster (Exeter), Dr Chloe Wong (SGDP Centre), Professor Pak Sham (Hong Kong University) and Professor Mick O’Donovan (Cardiff).
This post offers a postdoctoral researcher a unique opportunity to develop their skills in this fast-moving field in a thriving and supportive multi-disciplinary research environment. The diverse collaborations developed by Dr Di Forti for her MRC fellowship will enable the postdoctoral researcher to develop their career, playing an active role in data dissemination and publications.