Daniel Roelfs
PhD Candidate
Introduction
- Psychiatric conditions are highly polygenic and complex
- Psychiatric conditions share symptoms and genetic profiles
- MRI studies show that structural and functional changes are widespread across the brain
- Investigate distributed nature of genetic effects in the brain and its associations with psychiatric conditions
Methods (mental health)
Methods (mental health)
Methods (mental health)
Methods (mental health)
Results (ICA decomposition)
Results (IC x IC)
Methods (fMRI)
Methods (fMRI)
Methods (fMRI)
Methods (fMRI)
MOSTest Manhattan plots
Functional Connectivity
| MOSTest | 15 loci |
| Min-P | 2 loci |
Temporal Node Variance
| MOSTest | 5 loci |
| Min-P | 3 loci |
Min-P loci
Functional Connectivity
Temporal Node Variance
Most loci discovered through MOSTest aren't genome-wide significant in the univariate GWAS
Min-P loci
Functional Connectivity
Temporal Node Variance
Most loci discovered through MOSTest aren't genome-wide significant in the univariate GWAS
Conjunctional FDR
Conjunctional FDR
Mapped genes
- Functional annotation and mapping of genome-wide assocation studies (FUMA)
Gene set mapped from the significant loci in the GWAS
Compare genes to genes involved in synaptic functioning (e.g. BDNF, NRXN1 etc.)
Mapped biological processes
Conclusion
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Pleiotropy between mental health symptom profiles, functional connectivity, and psychiatric conditions
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Link genetic loci back to biological processes implicated in psychiatric conditions
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Identified a number of synaptic processes associated with these shared loci
Acknowledgements
| Data | |
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 |
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| Infrastructure | |
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Services for Sensitive Data |
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National Infrastructure for High Performance Computing and Data Storage in Norway |
| Funding | |
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ERA-NET |
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Thanks to
ERA-NET
SYNSCHIZ
Linking synaptic dysfunction to disease mechanisms in schizophrenia
Linking synaptic dysfunction to disease mechanisms in schizophrenia