Commentary: Fundamental problems with candidate gene-by-environment interaction studies - reflections on Moore and...

Area of Science:

• Behavioral genetics
• Complex trait analysis

Background:

• Candidate gene-by-environment interactions (cG × E) studies face challenges from gene-environment covariation.
• Existing cG × E research is often hampered by methodological limitations.

Purpose of the Study:

• To highlight the inherent difficulties in accurately estimating cG × E.
• To argue for the necessity of evolving analytical procedures and collaborative efforts in genetic research.

Main Methods:

• The study critically reviews existing approaches to candidate gene-by-environment interactions.
• It discusses the impact of unmodeled gene-environment covariation on interaction estimates.

Main Results:

• Biologically plausible gene-environment covariation can significantly bias cG × E estimates.
• Current cG × E studies frequently use inadequate analytic procedures and insufficient sample sizes.
• The candidate gene approach has proven largely unfruitful for complex traits.

Conclusions:

• Conventional methods are unlikely to yield reliable cG × E findings.
• Advancements in analytic procedures and large-scale collaborations are crucial for understanding gene-environment interplay in complex traits.