Understanding and predicting individual differences in cannabis-induced psychosis-like experiences (360G-Wellcome-218641_Z_19_Z)
Acute pharmacological challenge and observational studies in humans have shown that cannabis can induce psychosis-like experiences. However, not all individuals exhibit adverse experiences, implicating individual differences in cannabis-sensitivity. While a number of studies implicate a genetic contribution to cannabis-sensitivity, such evidence relies on genetic variables of limited interpretability, such as pre-selected candidate genes for schizophrenia or family history of schizophrenia. So far, there is no genome-wide evidence exploiting advanced methods from genetic epidemiology to elucidate the role of (genetic) vulnerabilities in cannabis-sensitivity. Furthermore, there is no evidence as to whether prediction models can effectively identify those at high risk for cannabis-sensitivity. The lack of evidence highlights the need for more research on this subject. To advance the study on cannabis-sensitivity, my project has four main objectives: to systematically summarise the available evidence on factors associated with cannabis-sensitivity, to employ advanced genomic association and functional analyses to study biological pathways underlying cannabis-sensitivity, to apply cutting-edge genetically informed inference methods (e.g. Mendelian randomization) to study the role of individual vulnerabilities (schizophrenia liability) and traits (e.g. neuroticism liability) in cannabis-sensitivity and to use machine learning approaches to develop and evaluate prediction models for cannabis-sensitivity. Keywords Cannabis Psychosis Genetic Epidemiology Prediction Causal Inference
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Grant Details
Amount Awarded | 300000 |
Applicant Surname | Schoeler |
Approval Committee | Basic Science Interview Committee |
Award Date | 2019-11-06T00:00:00+00:00 |
Financial Year | 2019/20 |
Grant Programme: Title | Sir Henry Wellcome Postdoctoral Fellowship |
Internal ID | 218641/Z/19/Z |
Lead Applicant | Dr Tabea Schoeler |
Partnership Value | 300000 |
Planned Dates: End Date | 2021-08-31T00:00:00+00:00 |
Planned Dates: Start Date | 2020-11-01T00:00:00+00:00 |
Recipient Org: Country | United Kingdom |
Region | Greater London |
Sponsor(s) | Dr Jean-Baptiste Pingault |