TY - JOUR A1 - Weber, Heike A1 - Maihofer, Adam X. A1 - Jaksic, Nenad A1 - Bojic, Elma Feric A1 - Kucukalic, Sabina A1 - Dzananovic, Emina Sabic A1 - Uka, Aferdita Goci A1 - Hoxha, Blerina A1 - Haxhibeqiri, Valdete A1 - Haxhibeqiri, Shpend A1 - Kravic, Nermina A1 - Umihanic, Mirnesa Muminovic A1 - Franc, Ana Cima A1 - Babic, Romana A1 - Pavlovic, Marko A1 - Mehmedbasic, Alma Bravo A1 - Aukst-Margetic, Branka A1 - Kucukalic, Abdulah A1 - Marjanovic, Damir A1 - Babic, Dragan A1 - Jakovljevic, Miro A1 - Sinanovic, Osman A1 - Avidbegović, Esmina A1 - Agani, Ferid A1 - Warrings, Bodo A1 - Domschke, Katharina A1 - Nievergelt, Caroline M. A1 - Dzubur-Kulenovic, Alma A1 - Erhardt, Angelika T1 - Association of polygenic risk scores, traumatic life events and coping strategies with war-related PTSD diagnosis and symptom severity in the South Eastern Europe (SEE)-PTSD cohort JF - Journal of Neural Transmission N2 - Objectives Posttraumatic stress disorder (PTSD) is triggered by extremely stressful environmental events and characterized by high emotional distress, re-experiencing of trauma, avoidance and hypervigilance. The present study uses polygenic risk scores (PRS) derived from the UK Biobank (UKBB) mega-cohort analysis as part of the PGC PTSD GWAS effort to determine the heritable basis of PTSD in the South Eastern Europe (SEE)-PTSD cohort. We further analyzed the relation between PRS and additional disease-related variables, such as number and intensity of life events, coping, sex and age at war on PTSD and CAPS as outcome variables. Methods Association of PRS, number and intensity of life events, coping, sex and age on PTSD were calculated using logistic regression in a total of 321 subjects with current and remitted PTSD and 337 controls previously subjected to traumatic events but not having PTSD. In addition, PRS and other disease-related variables were tested for association with PTSD symptom severity, measured by the Clinician Administrated PTSD Scale (CAPS) by liner regression. To assess the relationship between the main outcomes PTSD diagnosis and symptom severity, each of the examined variables was adjusted for all other PTSD related variables. Results The categorical analysis showed significant polygenic risk in patients with remitted PTSD and the total sample, whereas no effects were found on symptom severity. Intensity of life events as well as the individual coping style were significantly associated with PTSD diagnosis in both current and remitted cases. The dimensional analyses showed as association of war-related frequency of trauma with symptom severity, whereas the intensity of trauma yielded significant results independently of trauma timing in current PTSD. Conclusions The present PRS application in the SEE-PTSD cohort confirms modest but significant polygenic risk for PTSD diagnosis. Environmental factors, mainly the intensity of traumatic life events and negative coping strategies, yielded associations with PTSD both categorically and dimensionally with more significant p-values. This suggests that, at least in the present cohort of war-related trauma, the association of environmental factors and current individual coping strategies with PTSD psychopathology was stronger than the polygenic risk. KW - life events KW - PTSD KW - CAPS KW - polygenic risk score KW - coping style Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-268541 SN - 1435-1463 VL - 129 IS - 5-6 ER - TY - JOUR A1 - Grimm, Oliver A1 - Weber, Heike A1 - Kittel-Schneider, Sarah A1 - Kranz, Thorsten M. A1 - Jacob, Christian P. A1 - Lesch, Klaus-Peter A1 - Reif, Andreas T1 - Impulsivity and Venturesomeness in an Adult ADHD Sample: Relation to Personality, Comorbidity, and Polygenic Risk JF - Frontiers in Psychiatry N2 - While impulsivity is a basic feature of attention-deficit/hyperactivity disorder (ADHD), no study explored the effect of different components of the Impulsiveness (Imp) and Venturesomeness (Vent) scale (IV7) on psychiatric comorbidities and an ADHD polygenic risk score (PRS). We used the IV7 self-report scale in an adult ADHD sample of 903 patients, 70% suffering from additional comorbid disorders, and in a subsample of 435 genotyped patients. Venturesomeness, unlike immediate Impulsivity, is not specific to ADHD. We consequently analyzed the influence of Imp and Vent also in the context of a PRS on psychiatric comorbidities of ADHD. Vent shows a distinctly different distribution of comorbidities, e.g., less anxiety and depression. PRS showed no effect on different ADHD comorbidities, but correlated with childhood hyperactivity. In a complementary analysis using principal component analysis with Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition ADHD criteria, revised NEO Personality Inventory, Imp, Vent, and PRS, we identified three ADHD subtypes. These are an impulsive–neurotic type, an adventurous–hyperactive type with a stronger genetic component, and an anxious–inattentive type. Our study thus suggests the importance of adventurousness and the differential consideration of impulsivity in ADHD. The genetic risk is distributed differently between these subtypes, which underlines the importance of clinically motivated subtyping. Impulsivity subtyping might give insights into the organization of comorbid disorders in ADHD and different genetic background. KW - impulsivity KW - ADHD KW - polygenic risk score KW - venturesomeness KW - substance abuse disorder KW - attention KW - hyperactivity Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-219751 SN - 1664-0640 VL - 11 ER - TY - JOUR A1 - Meier, Sandra M. A1 - Kähler, Anna K. A1 - Bergen, Sarah E. A1 - Sullivan, Patrick F. A1 - Hultman, Christina M. A1 - Mattheisen, Manuel T1 - Chronicity and Sex Affect Genetic Risk Prediction in Schizophrenia JF - Frontiers in Psychiatry N2 - Schizophrenia (SCZ) is a severe mental disorder with immense personal and societal costs; identifying individuals at risk is therefore of utmost importance. Genomic risk profile scores (GRPS) have been shown to significantly predict cases-control status. Making use of a large-population based sample from Sweden, we replicate a previous finding demonstrating that the GRPS is strongly associated with admission frequency and chronicity of SCZ. Furthermore, we were able to show a substantial gap in prediction accuracy between males and females. In sum, our results indicate that prediction accuracy by GRPS depends on clinical and demographic characteristics. KW - schizophrenia KW - polygenic risk score KW - prediction KW - sex KW - course Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-205677 SN - 1664-0640 VL - 11 ER - TY - JOUR A1 - Biere, Silvia A1 - Kranz, Thorsten M. A1 - Matura, Silke A1 - Petrova, Kristiyana A1 - Streit, Fabian A1 - Chiocchetti, Andreas G. A1 - Grimm, Oliver A1 - Brum, Murielle A1 - Brunkhorst-Kanaan, Natalie A1 - Oertel, Viola A1 - Malyshau, Aliaksandr A1 - Pfennig, Andrea A1 - Bauer, Michael A1 - Schulze, Thomas G. A1 - Kittel-Schneider, Sarah A1 - Reif, Andreas T1 - Risk Stratification for Bipolar Disorder Using Polygenic Risk Scores Among Young High-Risk Adults JF - Frontiers in Psychiatry N2 - Objective: Identifying high-risk groups with an increased genetic liability for bipolar disorder (BD) will provide insights into the etiology of BD and contribute to early detection of BD. We used the BD polygenic risk score (PRS) derived from BD genome-wide association studies (GWAS) to explore how such genetic risk manifests in young, high-risk adults. We postulated that BD-PRS would be associated with risk factors for BD. Methods: A final sample of 185 young, high-risk German adults (aged 18–35 years) were grouped into three risk groups and compared to a healthy control group (n = 1,100). The risk groups comprised 117 cases with attention deficit hyperactivity disorder (ADHD), 45 with major depressive disorder (MDD), and 23 help-seeking adults with early recognition symptoms [ER: positive family history for BD, (sub)threshold affective symptomatology and/or mood swings, sleeping disorder]. BD-PRS was computed for each participant. Logistic regression models (controlling for sex, age, and the first five ancestry principal components) were used to assess associations of BD-PRS and the high-risk phenotypes. Results: We observed an association between BD-PRS and combined risk group status (OR = 1.48, p < 0.001), ADHD diagnosis (OR = 1.32, p = 0.009), MDD diagnosis (OR = 1.96, p < 0.001), and ER group status (OR = 1.7, p = 0.025; not significant after correction for multiple testing) compared to healthy controls. Conclusions: In the present study, increased genetic risk for BD was a significant predictor for MDD and ADHD status, but not for ER. These findings support an underlying shared risk for both MDD and BD as well as ADHD and BD. Improving our understanding of the underlying genetic architecture of these phenotypes may aid in early identification and risk stratification. KW - polygenic risk score KW - bipolar disorder KW - genetic phenotypes KW - depression KW - ADHD KW - early recognition Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-214976 VL - 11 ER -