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Molecular genetic approaches to understanding the comorbidity of psychiatric disorders

Published online by Cambridge University Press:  14 October 2016

Ian R. Gizer
Ian R. Gizer*
Affiliation:
University of Missouri
*
Address correspondence and reprint requests to: Ian R. Gizer, Department of Psychological Sciences, University of Missouri, 210 McAlester Hall, Columbia, MO 65211; E-mail: [email protected].
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Abstract

Epidemiologic studies demonstrating high rates of co-occurrence among psychiatric disorders at the population level have contributed to large literatures focused on identifying the causal mechanisms underlying the patterns of co-occurrence among these disorders. Such efforts have long represented a core focus of developmental psychopathologists and have more recently been supported by the Research Domain Criteria initiative developed by the NIMH, which provides a further framework for how the hypothesized mechanisms can be studied at different levels of analysis. The present overview focuses on molecular genetic approaches that are being used currently to study the etiology of psychiatric disorders, and how these approaches have been applied in efforts to understand the biological mechanisms that give rise to comorbid conditions. The present report begins with a review of molecular genetic approaches used to identify individual variants that confer risk for multiple disorders and the intervening biological mechanisms that contribute to their comorbidity. This is followed by a review of molecular genetic approaches that use genetic data in aggregate to examine these questions, and concludes with a discussion of how developmental psychopathologists are uniquely positioned to apply these methods in a way that will further our understanding of the causal factors that contribute to the development of comorbid conditions.

Type
Special Issue Articles
Information
Development and Psychopathology , Volume 28 , Special Issue 4pt1: Mechanisms of Comorbidity, Continuity, and Discontinuity in Psychopathology , November 2016 , pp. 1089 - 1101
Copyright
Copyright © Cambridge University Press 2016 

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