4 research outputs found
Detecting comorbid Axis-II status among inpatients using the MMPI-2 Restructured Clinical Scales
Detecting comorbid Axis-II status among inpatients using the MMPI-2 Restructured Clinical Scales
This study examined the differential diagnostic utility of the MMPI-2 Restructured Clinical Scales (RCS) and Clinical Scales (CS) in detecting a complex multivariate clinical phenomenon: that is, comorbid Axis-II status in two matched samples of inpatients. Psychiatric inpatients diagnosed with either substance use disorder (n = 43) or major depression (n = 49) were matched on age, sex, and clinical setting, and compared with patients with the same Axis-I disorder and a comorbid personality disorder. Presence or absence of a comorbid personality disorder was chosen to provide a potent test of the differential diagnostic utility of the RCS versus CS when using a highly complex, multivariate criterion variable. Using hierarchical logistic regression analyses, the RCS consistently demonstrated higher diagnostic utility. Moreover, the RCS profiles were significantly more focused and more readily interpretable, relative to the CS profiles that were remarkably similar across disorders. These findings provide further support for the diagnostic and clinical utility of the RCS
Comparison of Malingering Related CharacteristicsBetween Pre-trial Forensic Offenders Determined as Normaland Other Diagnoses:Based on MMPI-2 Profiles
Enhancing discovery of genetic variants for posttraumatic stress disorder through integration of quantitative phenotypes and trauma exposure information
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 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.</p