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Consequences of a network view for genetic association studies
Sophie van der Sluis1, Kees-Jan Kan, Conor V Dolan
1Department of Functional Genomics, Center for Neurogenomics and Cognitive Research (CNCR), Vrije University Amsterdam, 1081 HV Amsterdam, The Netherlands. sophie.van.der.sluis@cncr.vu.nl
The Behavioral and Brain Sciences
|June 30, 2010
Summary
Mental disorders may arise from symptom network dynamics, not latent traits. This network perspective has implications for genetic studies of mental health conditions.
Area of Science:
- Psychiatry
- Genetics
- Network Science
Background:
- Traditional models explain symptom co-occurrence via latent traits.
- Cramer et al. proposed a network perspective where symptoms interact dynamically.
- This network view challenges the necessity of latent variables.
Purpose of the Study:
- To explore the implications of the network model of mental disorders for genetic association studies.
- To consider how network dynamics influence the interpretation of genetic findings.
Main Methods:
- Conceptual analysis of the network model of psychopathology.
- Discussion of the impact on genetic association study designs and interpretations.
Main Results:
- The network model reframes symptom co-occurrence, shifting focus from latent traits to dynamic interactions.
- Genetic association studies may need to account for network structures and symptom interactions.
Conclusions:
- Adopting a network perspective necessitates re-evaluating how genetic factors are studied in relation to mental disorders.
- Future genetic research should consider the complex interplay of symptoms within a network framework.
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