Candidate Gene–Environment Interaction Research
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- Danielle M. Dick
- Department of Psychiatry, Virginia Commonwealth University
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- Arpana Agrawal
- Department of Psychiatry, Washington University in St. Louis
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- Matthew C. Keller
- Institute for Behavioral Genetics, University of Colorado Boulder
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- Amy Adkins
- Department of Psychiatry, Virginia Commonwealth University
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- Fazil Aliev
- Department of Psychiatry, Virginia Commonwealth University
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- Scott Monroe
- Department of Psychology, University of Notre Dame
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- John K. Hewitt
- Department of Psychiatry, Washington University in St. Louis
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- Kenneth S. Kendler
- Department of Psychiatry, Virginia Commonwealth University
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- Kenneth J. Sher
- Department of Psychological Sciences, University of Missouri
Bibliographic Information
- Other Title
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- Reflections and Recommendations
Description
<jats:p> Studying how genetic predispositions come together with environmental factors to contribute to complex behavioral outcomes has great potential for advancing the understanding of the development of psychopathology. It represents a clear theoretical advance over studying these factors in isolation. However, research at the intersection of multiple fields creates many challenges. We review several reasons why the rapidly expanding candidate gene–environment interaction (cG×E) literature should be considered with a degree of caution. We discuss lessons learned about candidate gene main effects from the evolving genetics literature and how these inform the study of cG×E. We review the importance of the measurement of the gene and environment of interest in cG×E studies. We discuss statistical concerns with modeling cG×E that are frequently overlooked. Furthermore, we review other challenges that have likely contributed to the cG×E literature being difficult to interpret, including low power and publication bias. Many of these issues are similar to other concerns about research integrity (e.g., high false-positive rates) that have received increasing attention in the social sciences. We provide recommendations for rigorous research practices for cG×E studies that we believe will advance its potential to contribute more robustly to the understanding of complex behavioral phenotypes. </jats:p>
Journal
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- Perspectives on Psychological Science
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Perspectives on Psychological Science 10 (1), 37-59, 2015-01
SAGE Publications
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Details 詳細情報について
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- CRID
- 1362544421001938304
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- ISSN
- 17456924
- 17456916
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- Data Source
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- Crossref