There is evidence that engagement with tangible heritage is linked to improvements in well-being. However, experimental tests of this association, as well as theoretical accounts explaining this... Show moreThere is evidence that engagement with tangible heritage is linked to improvements in well-being. However, experimental tests of this association, as well as theoretical accounts explaining this relationship, are lacking. The present study aims to compensate for this gap by developing a theoretical framework based on the social identity approach that explains the effect of community-based heritage engagement on well-being, and testing this effect in a quasi-experimental field study in the context of community test pit archeological excavations. In line with the predictions, the results demonstrate that excavation participants (but not participants in the control condition) report improvements on a number of psychological outcomes after (as compared to before) participation in a 2-day excavation program (including well-being, self-efficacy, and perceived community support). The findings offer implications for community-based approaches to enhancing well-being, as well as the practice of conducting community-based archeological excavations. Show less
BACKGROUND: Posttraumatic stress disorder (PTSD) is heritable and a potential consequence of exposure to traumatic stress. Evidence suggests that a quantitative approach to PTSD phenotype... Show moreBACKGROUND: Posttraumatic stress disorder (PTSD) is heritable and a potential consequence of exposure to traumatic stress. Evidence suggests that a quantitative approach to PTSD phenotype measurement and incorporation of lifetime trauma exposure (LTE) information could enhance the discovery power of PTSD genome-wide association studies (GWASs). METHODS: A GWAS on PTSD symptoms was performed in 51 cohorts followed by a fixed-effects meta-analysis (N = 182,199 European ancestry participants). A GWAS of LTE burden was performed in the UK Biobank cohort (N = 132,988). Genetic correlations were evaluated with linkage disequilibrium score regression. Multivariate analysis was performed using Multi-Trait Analysis of GWAS. Functional mapping and annotation of leading loci was performed with FUMA. Replication was evaluated using the Million Veteran Program GWAS of PTSD total symptoms. RESULTS: GWASs of PTSD symptoms and LTE burden identified 5 and 6 independent genome-wide significant loci, respectively. There was a 72% genetic correlation between PTSD and LTE. PTSD and LTE showed largely similar patterns of genetic correlation with other traits, albeit with some distinctions. Adjusting PTSD for LTE reduced PTSD heritability by 31%. Multivariate analysis of PTSD and LTE increased the effective sample size of the PTSD GWAS by 20% and identified 4 additional loci. Four of these 9 PTSD loci were independently replicated in the Million Veteran Program. CONCLUSIONS: Through using a quantitative trait measure of PTSD, we identified novel risk loci not previously identified using prior case-control analyses. PTSD and LTE have a high genetic overlap that can be leveraged to increase discovery power through multivariate methods. Show less
