Polygene by environment interactions predicting depressive outcomes

Area of Science:

• Psychiatry
• Genetics
• Environmental Health

Background:

• Depression is a significant public health issue with complex etiology.
• Gene-environment (G×E) interactions and polygenic inheritance are key factors in depression risk.
• Current research utilizes multilocus genetic profile scores (MGPS) and polygenic risk scores (PRS) to study these interactions.

Purpose of the Study:

• To synthesize existing research on polygenic by environment (P×E) interactions predicting depression and neurobiological outcomes.
• To examine P×E findings within the frameworks of differential susceptibility and diathesis-stress theories.
• To critically evaluate the methodologies and findings of MGPS and PRS approaches in P×E research.

Main Methods:

• Systematic review of studies investigating P×E interactions, focusing on stressful life events as the environmental factor.
• Analysis of studies employing MGPS and PRS derived from genome-wide association studies (GWAS).
• Discussion of findings in relation to differential susceptibility and diathesis-stress theories.

Main Results:

• MGPS-based P×E research consistently shows interactions between polygenic scores (serotonin system, HPA axis, etc.) and stress exposure predict depression and neurobiological outcomes.
• MGPS findings align well with differential susceptibility theory.
• GWAS-based PRS studies exhibit mixed and inconclusive results due to methodological heterogeneity.

Conclusions:

• Hypothesis-driven MGPS approaches offer a promising avenue for understanding G×E interactions in depression.
• Differential susceptibility theory provides a robust framework for interpreting MGPS × E findings.
• Further research with standardized methodologies is needed for PRS-based P×E studies to yield conclusive results.