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Genes, brains, and behavior: imaging genetics for neuropsychiatric disorders
1From the Faculty of Engineering and Natural Sciences, Genetics and Bioengineering Dept., International University of Sarajevo, Sarajevo, Bosnia and Herzegovina; and the Faculty of Engineering and Natural Sciences, Dept. of Molecular Biology and Genetics, Üsküdar University, Üsküdar, İstanbul, Turkey.
Imaging genetics offers a powerful approach to understanding the molecular basis of neuropsychiatric disorders, like schizophrenia. This interdisciplinary strategy integrates neuroimaging, genetic variation, and environmental factors to discover disease markers.
Area of Science:
- Neuroscience
- Psychiatry
- Genetics
Background:
- Neuropsychiatric disorders exhibit significant heritability, but their underlying molecular pathophysiology remains largely unknown.
- Schizophrenia serves as a key example of a complex neuropsychiatric disorder with unclear molecular mechanisms.
Purpose of the Study:
- To discuss imaging genetics as a strategic approach for investigating the pathophysiology of neuropsychiatric disorders.
- To highlight the utility of different imaging genetics methodologies for gene discovery and validation.
Main Methods:
- Utilizing a candidate gene approach within imaging genetics for validation and replication studies.
- Employing a hypothesis-free, non-candidate gene approach for novel gene discovery.
- Integrating environmental factors with neuroimaging and genetic variation data.
Main Results:
- Candidate gene studies validate and replicate findings in imaging genetics.
- Hypothesis-free approaches facilitate the discovery of new genes implicated in disease.
- Convergence of neuroimaging, genetic variation, and environmental data offers a comprehensive view.
Conclusions:
- Imaging genetics provides a robust framework for exploring neuropsychiatric disorder pathophysiology.
- Interdisciplinary research, combining neuroimaging, genetics, and environmental factors, is crucial for identifying biomarkers.
- This integrated model holds promise for advancing our understanding and treatment of complex brain disorders.
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