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Genotype-environment interactions in mouse behavior: a way out of the problem
Neri Kafkafi1, Yoav Benjamini, Anat Sakov
1Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD 21228, USA. nkafkafi@mprc.umaryland.edu
Summary
Replicability in behavior genetics is challenging due to lab variations. This study proposes a statistical strategy using mixed models to identify reliable genotype differences despite these interactions.
Area of Science:
- Behavioral genetics
- Genetics
- Neuroscience
Background:
- Behavioral patterns in mouse genotypes are used to link behaviors to gene loci.
- Replicability of these findings across laboratories is a significant concern.
- Previous multi-laboratory experiments revealed laboratory effects and genotype-by-laboratory interactions.
Purpose of the Study:
- To address the challenge of replicability in behavior genetics.
- To propose a statistical strategy for analyzing multi-laboratory experiments.
- To develop methods for identifying reliable genotype differences amidst laboratory interactions.
Main Methods:
- Utilized a mixed-model statistical approach for multi-laboratory data analysis.
- Developed behavioral assays and endpoints to discern genetic differences.
- Employed a software-based strategy for exploring open-field behavior in eight mouse genotypes across three laboratories.
Main Results:
- Demonstrated that replicable behavioral measures can be practically established.
- The proposed strategy successfully identified significant genotype differences.
- Genotype-by-laboratory interactions were acknowledged and incorporated into the analysis.
Conclusions:
- Genotype-by-laboratory interactions are an inherent aspect of multi-laboratory experiments.
- A mixed-model approach enhances the reliability of detecting genotype differences.
- The strategy is applicable beyond behavior genetics to other fields concerned with replicability.