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Extracting meaning from comorbidity: genetic analyses that make sense
1Department of Child and Adolescent Psychiatry and Psychology, Guy's, King's and St. Thomas' Medical School, Snowsfield's, London, UK. e.simonoff@iop.kcl.ac.uk
Summary
Behavioral genetics in child psychopathology often assumes shared risks for comorbidity. This review highlights phenotypic causality as an alternative, crucial for developing effective interventions.
Area of Science:
- Developmental psychopathology
- Behavioral genetics
- Child psychiatry
Background:
- Multivariate genetic analyses are common in child psychiatric research to understand comorbidity.
- Existing models primarily focus on shared genetic and/or environmental factors influencing co-occurring traits or disorders.
Purpose of the Study:
- To review alternative models of comorbidity in child psychopathology.
- To emphasize the importance of considering phenotypic causality (one disorder influencing another).
- To illustrate challenges in distinguishing between shared risk and phenotypic causality models.
Main Methods:
- Review of existing literature on genetic analyses of comorbidity.
- Illustration using data from Wamboldt, Schmitz, and Mrazek (1998).
- Discussion of statistical power and sample size requirements for model discrimination.
Main Results:
- Traditional models of shared genetic/environmental risk for comorbidity are frequently employed.
- Phenotypic causality offers a distinct explanation for comorbidity with different intervention implications.
- Distinguishing between these models can be statistically challenging, often requiring large sample sizes.
Conclusions:
- Researchers should select genetic models based on existing evidence of plausibility.
- Alternative models, such as phenotypic causality, should be explored when evidence is limited.
- The power to discriminate between competing models is critical for accurate interpretation and intervention planning.