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- General Strategies in Biomarker Research
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1. The proteomic revolution
- Dr. Larry Gold
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2. Lipid biomarkers: lipidomics of the macrophage and plasma lipidomes
- Prof. Edward A. Dennis
- New Tools for Biomarker Research
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5. Development of glyco-biomarkers using glycoproteomics technologies
- Dr. Hisashi Narimatsu
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6. Circulating nucleic acids as biomarkers in cancer patients
- Prof. Klaus Pantel
- Specific Disease Applications
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7. Biomarkers in breast cancer
- Prof. Joe Duffy
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8. Bacterial biomarkers
- Dr. Christiane Honisch
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9. Diabetes biomarkers
- Prof. Naveed Sattar
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10. Gene networks, brain networks: understanding schizophrenia
- Dr. Daniel Weinberger
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11. Biomarkers for Huntington's disease - promises and challenges
- Prof. Sarah Tabrizi
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12. Update on fluid biomarkers for neurodegenerative diseases
- Prof. Henrik Zetterberg
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13. Biomarkers in osteoarthritis
- Dr. Ali Mobasheri
- Biomarkers in Drug Discovery and Delivery
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14. Pharmacogenomics: emphasis on clinical drug development
- Dr. Amelia Warner
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15. Biomarkers in drug development: potential use and challenges
- Dr. Abdel-Bassett Halim
- Biomarkers in development, nutrition, and health
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18. Ethnic differences in nutrition
- Prof. Jose Ordovas
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19. Non-invasive prenatal diagnostics
- Prof. Y. M. Dennis Lo
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20. Epigenetic biomarkers in cancer
- Prof. Bob Brown
- Archived Lectures *These may not cover the latest advances in the field
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21. Biomarkers for Alzheimer's disease
- Prof. Henrik Zetterberg
Printable Handouts
Navigable Slide Index
- Introduction
- Genomics and the future of psychiatry
- Schizophrenia susceptibility genes
- Common sequence variants in the genome
- The GWAS approach (1)
- The GWAS approach (2)
- GWAS redux
- The inconvenient truth of GWAS
- Two questions and some answers
- The path from here to there
- MZ twins and schizophrenia (1)
- MZ twins and schizophrenia (2)
- Three key points in this talk
- Abnormal behavior & abnormal brain function
- Abnormal prefrontal "efficiency"
- Cortical "efficiency" in Parkinson's disease
- Effect of COMT val/met genotype
- CACNA1C modulates cortical efficiency
- Simple behaviors & processing networks
- Dysfunction of a prefrontal-limbic network
- Effect of ZNF804A on cortical dynamics
- Genetic association & brain function: caveats
- Prefrontal-hippocampal coupling dynamics
- Prefrontal efficiency and connectivity
- ZNF804A risk associated SNP
- Realistic phenotypic models
- Dynamic modeling of "effective connectivity"
- Dissociating maintenance from work
- Modeling of cortical-striatal network activity
- COMT, DRD2, and AKT1 polymorphisms
- COMT modulates connectivity in maintenance
- Complex behaviors result from multiple factors
- Simple behaviors also involve complex networks
- Complex profiles & risk assessment in epilepsy
- DISC1 effect on dendrite is mediated by NKCC1
- Epistatic interaction of NKCC1 and DISC1
- ErbB4 signaling is a schizophrenia risk pathway
- Epistatic interactions in NRG1-ERBB4-AKT1
- Comparisons of genotype risk groups
- Functional polymorphisms: 3 "psychiatric" genes
- Epistasis of AKT1, BDNF and COMT
- Higher order epistasis of COMT x BDNF x AKT1
- Acknowledgements
- Conclusions
Topics Covered
- Genomics and the future of psychiatry
- Schizophrenia susceptibility genes
- The GWAS approach
- Behavior, brain functions & networks
- Efficiency, dynamics & connectivity of different brain areas
- Realistic phenotypic models
- Polymorphisms and "psychiatric" genes
- Epistatic interactions between various genes
- Comparisons of genotype risk groups
Links
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Talk Citation
Weinberger, D. (2012, November 18). Gene networks, brain networks: understanding schizophrenia [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 3, 2024, from https://doi.org/10.69645/KGPV1056.Export Citation (RIS)
Publication History
Financial Disclosures
- Dr. Daniel Weinberger has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.