Investigating the shared genetic architecture between post-traumatic stress disorder and neurodegenerative diseases:...

Post-traumatic stress disorder (PTSD), the most prevalent psychopathological consequence following traumatic events, profoundly impacts human life amidst global societal pressures. Emerging twin and family studies suggest that individuals with stress-related disorders face an elevated risk of neurodegenerative diseases, yet the genetic underpinnings of this association remain poorly understood.

Here, we present a comprehensive framework elucidating this genetic basis. Using bivariate causal mixture models (MiXeR), we quantified polygenic overlap between PTSD (N = 1,280,933) and four neurodegenerative phenotypes (N = 115,803- 487,511), leveraging summary statistics from the largest PTSD genome-wide association study to date. Conditional/conjunction false discovery rate (FDR) analysis identified shared genomic loci.

MiXeR revealed considerable genetic variant sharing between neurodegenerative diseases and PTSD. Subsequent conjunction FDR analysis pinpointed 15 distinct shared loci. ρ-HESS local genetic correlation analysis identified seven significant local genetic correlations, with Chr6: 61,880,512-63,552,888 emerging as the most significant shared locus between PTSD and Alzheimer's disease. Cross-trait analyses using MTAG and CPASSOC identified 174 PTSD risk loci associated with at least one psychiatric disorder. Protein-coding genes mapped to known and novel shared loci exhibited specific spatial developmental trajectories. Through a framework incorporating five fundamental TWAS algorithm models, we identified 27 novel susceptibility genes that passed rigorous screening. Polygenic risk score (PRS) stratification in the UK Biobank cohort revealed dose-dependent relationships between PRS and risks of Alzheimer's disease, multiple sclerosis, and Parkinson's disease, with limited support for ALS and PTSD.

These findings illuminate the shared genetic architecture between PTSD and neurodegenerative phenotypes, advancing our understanding of their neurobiological interconnections. And enhance statistical power for detecting shared loci, thereby refining the characterization of common genetic mechanisms underlying PTSD and neurodegenerative pathologies.