| Literature DB >> 25620996 |
Danielle M Dick1, Arpana Agrawal2, Matthew C Keller3, Amy Adkins4, Fazil Aliev4, Scott Monroe5, John K Hewitt2, Kenneth S Kendler4, Kenneth J Sher6.
Abstract
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.Entities:
Keywords: G×E; candidate genes; genetics; gene–environment interaction
Mesh:
Year: 2015 PMID: 25620996 PMCID: PMC4302784 DOI: 10.1177/1745691614556682
Source DB: PubMed Journal: Perspect Psychol Sci ISSN: 1745-6916