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.
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.
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DOI：
10.1007/s00702-021-02446-5
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发表时间：
2022-06
影响因子：
3.3
通讯作者：
Erhardt, Angelika
中科院分区：
文献类型：
--
作者：
Weber, Heike;Maihofer, Adam X.;Jaksic, Nenad;Bojic, Elma Feric;Kucukalic, Sabina;Dzananovic, Emina Sabic;Uka, Aferdita Goci;Hoxha, Blerina;Haxhibeqiri, Valdete;Haxhibeqiri, Shpend;Kravic, Nermina;Umihanic, Mirnesa Muminovic;Franc, Ana Cima;Babic, Romana;Pavlovic, Marko;Mehmedbasic, Alma Bravo;Aukst-Margetic, Branka;Kucukalic, Abdulah;Marjanovic, Damir;Babic, Dragan;Bozina, Nada;Jakovljevic, Miro;Sinanovic, Osman;Avdibegovic, Esmina;Agani, Ferid;Warrings, Bodo;Domschke, Katharina;Nievergelt, Caroline M.;Deckert, Juergen;Dzubur-Kulenovic, Alma;Erhardt, Angelika
创伤后应激障碍（PTSD）是由极端紧张的环境事件引发的，其特征是高度的情绪困扰，创伤的重新体验，回避和过度警惕。本研究使用来自英国生物银行（UKBB）大型队列分析的多基因风险评分（PRS）作为PGC PTSD GWAS努力的一部分，以确定东南欧（SEE）PTSD队列中PTSD的遗传基础。我们进一步分析了PRS与其他疾病相关变量的关系，如生活事件的数量和强度，应对方式，性别和战争对PTSD和CAPS的年龄作为结果变量。关联PRS，生活事件的数量和强度，应对，性别和年龄对PTSD进行了计算，使用Logistic回归分析，共321例受试者与当前和缓解的PTSD和337例对照组以前受到创伤事件，但没有PTSD。此外，PRS和其他疾病相关变量与PTSD症状严重程度的相关性进行了测试，通过线性回归由临床医生管理的PTSD量表（CAPS）测量。为了评估主要结果PTSD诊断和症状严重程度之间的关系，对所有其他PTSD相关变量调整了每个检查变量。分类分析显示，缓解的PTSD患者和总样本中存在显着的多基因风险，而对症状严重程度没有影响。生活事件的强度以及个人应对方式与PTSD诊断在当前和缓解的情况下显着相关。维度分析显示，与战争相关的创伤频率与症状严重程度相关，而创伤强度在目前的PTSD中独立于创伤时间产生了显着的结果。目前PRS在SEE-PTSD队列中的应用证实了PTSD诊断的适度但显著的多基因风险。环境因素，主要是创伤性生活事件的强度和消极的应对策略，产生与PTSD的分类和维度更显着的p值。这表明，至少在目前的队列的战争相关的创伤，环境因素和当前的个人应对策略与PTSD精神病理学的关联强于多基因的风险。
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. 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. 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. 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.
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影响因子：
4.8
作者：
Bremner JD;Hoffman M;Afzal N;Cheema FA;Novik O;Ashraf A;Brummer M;Nazeer A;Goldberg J;Vaccarino V
通讯作者：
Vaccarino V
影响因子：
7.4
作者：
Karam, Elie G.;Friedman, Matthew J.;Hill, Eric D.;Kessler, Ronald C.;McLaughlin, Katie A.;Petukhova, Maria;Sampson, Laura;Shahly, Victoria;Angermeyer, Matthias C.;Bromet, Evelyn J.;de Girolamo, Giovanni;de Graaf, Ron;Demyttenaere, Koen;Ferry, Finola;Florescu, Silvia E.;Haro, Josep Maria;He, Yanling;Karam, Aimee N.;Kawakami, Norito;Kovess-Masfety, Viviane;Medina-Mora, Maria Elena;Browne, Mark A. Oakley;Posada-Villa, Jose A.;Shalev, Arieh Y.;Stein, Dan J.;Viana, Maria Carmen;Zarkov, Zahari;Koenen, Karestan C.
通讯作者：
Koenen, Karestan C.
DOI：
10.1093/bioinformatics/btu848
发表时间：
2015-05-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Euesden J;Lewis CM;O'Reilly PF
通讯作者：
O'Reilly PF
影响因子：
25
作者：
Gelernter, Joel;Sun, Ning;Stein, Murray B.
通讯作者：
Stein, Murray B.
影响因子：
3.1
作者：
Kessler, Ronald C.;Petukhova, Maria;Sampson, Nancy A.;Zaslavsky, Alan M.;Wittchen, Hans-Ullrich
通讯作者：
Wittchen, Hans-Ullrich