Evaluating the heterogeneous treatment effects of major depression polygenic risk scores on self-harm using causal forest

Key Points

• This research aims to assess how genetic risk factors for depression affect self-harm behaviors.
• Utilized polygenic risk scores related to major depression
• Employed causal forest algorithms for analysis
• Considered trauma and socioeconomic contexts alongside genetic factors
• Identified varied treatment effects based on genetic vulnerability
• Highlighted the role of environmental factors in self-harm behaviors

Abstract