TY - JOUR A1 - Dörk, Thilo A1 - Peterlongo, Peter A1 - Mannermaa, Arto A1 - Bolla, Manjeet K. A1 - Wang, Qin A1 - Dennis, Joe A1 - Ahearn, Thomas A1 - Andrulis, Irene L. A1 - Anton-Culver, Hoda A1 - Arndt, Volker A1 - Aronson, Kristan J. A1 - Augustinsson, Annelie A1 - Beane Freeman, Laura E. A1 - Beckmann, Matthias W. A1 - Beeghly-Fadiel, Alicia A1 - Behrens, Sabine A1 - Bermisheva, Marina A1 - Blomqvist, Carl A1 - Bogdanova, Natalia V. A1 - Bojesen, Stig E. A1 - Brauch, Hiltrud A1 - Brenner, Hermann A1 - Burwinkel, Barbara A1 - Canzian, Federico A1 - Chan, Tsun L. A1 - Chang-Claude, Jenny A1 - Chanock, Stephen J. A1 - Choi, Ji-Yeob A1 - Christiansen, Hans A1 - Clarke, Christine L. A1 - Couch, Fergus J. A1 - Czene, Kamila A1 - Daly, Mary B. A1 - dos-Santos-Silva, Isabel A1 - Dwek, Miriam A1 - Eccles, Diana M. A1 - Ekici, Arif B. A1 - Eriksson, Mikael A1 - Evans, D. Gareth A1 - Fasching, Peter A. A1 - Figueroa, Jonine A1 - Flyger, Henrik A1 - Fritschi, Lin A1 - Gabrielson, Marike A1 - Gago-Dominguez, Manuela A1 - Gao, Chi A1 - Gapstur, Susan M. A1 - García-Closas, Montserrat A1 - García-Sáenz, José A. A1 - Gaudet, Mia M. A1 - Giles, Graham G. A1 - Goldberg, Mark S. A1 - Goldgar, David E. A1 - Guenél, Pascal A1 - Haeberle, Lothar A1 - Haimann, Christopher A. A1 - Håkansson, Niclas A1 - Hall, Per A1 - Hamann, Ute A1 - Hartman, Mikael A1 - Hauke, Jan A1 - Hein, Alexander A1 - Hillemanns, Peter A1 - Hogervorst, Frans B. L. A1 - Hooning, Maartje J. A1 - Hopper, John L. A1 - Howell, Tony A1 - Huo, Dezheng A1 - Ito, Hidemi A1 - Iwasaki, Motoki A1 - Jakubowska, Anna A1 - Janni, Wolfgang A1 - John, Esther M. A1 - Jung, Audrey A1 - Kaaks, Rudolf A1 - Kang, Daehee A1 - Kapoor, Pooja Middha A1 - Khusnutdinova, Elza A1 - Kim, Sung-Won A1 - Kitahara, Cari M. A1 - Koutros, Stella A1 - Kraft, Peter A1 - Kristensen, Vessela N. A1 - Kwong, Ava A1 - Lambrechts, Diether A1 - Le Marchand, Loic A1 - Li, Jingmei A1 - Lindström, Sara A1 - Linet, Martha A1 - Lo, Wing-Yee A1 - Long, Jirong A1 - Lophatananon, Artitaya A1 - Lubiński, Jan A1 - Manoochehri, Mehdi A1 - Manoukian, Siranoush A1 - Margolin, Sara A1 - Martinez, Elena A1 - Matsuo, Keitaro A1 - Mavroudis, Dimitris A1 - Meindl, Alfons A1 - Menon, Usha A1 - Milne, Roger L. A1 - Mohd Taib, Nur Aishah A1 - Muir, Kenneth A1 - Mulligan, Anna Marie A1 - Neuhausen, Susan L. A1 - Nevanlinna, Heli A1 - Neven, Patrick A1 - Newman, William G. A1 - Offit, Kenneth A1 - Olopade, Olufunmilayo I. A1 - Olshan, Andrew F. A1 - Olson, Janet E. A1 - Olsson, Håkan A1 - Park, Sue K. A1 - Park-Simon, Tjoung-Won A1 - Peto, Julian A1 - Plaseska-Karanfilska, Dijana A1 - Pohl-Rescigno, Esther A1 - Presneau, Nadege A1 - Rack, Brigitte A1 - Radice, Paolo A1 - Rashid, Muhammad U. A1 - Rennert, Gad A1 - Rennert, Hedy S. A1 - Romero, Atocha A1 - Ruebner, Matthias A1 - Saloustros, Emmanouil A1 - Schmidt, Marjanka K. A1 - Schmutzler, Rita K. A1 - Schneider, Michael O. A1 - Schoemaker, Minouk J. A1 - Scott, Christopher A1 - Shen, Chen-Yang A1 - Shu, Xiao-Ou A1 - Simard, Jaques A1 - Slager, Susan A1 - Smichkoska, Snezhana A1 - Southey, Melissa C. A1 - Spinelli, John J. A1 - Stone, Jennifer A1 - Surowy, Harald A1 - Swerdlow, Anthony J. A1 - Tamimi, Rulla M. A1 - Tapper, William J. A1 - Teo, Soo H. A1 - Terry, Mary Beth A1 - Toland, Amanda E. A1 - Tollenaar, Rob A. E. M. A1 - Torres, Diana A1 - Torres-Mejía, Gabriela A1 - Troester, Melissa A. A1 - Truong, Thérèse A1 - Tsugane, Shoichiro A1 - Untch, Michael A1 - Vachon, Celine M. A1 - van den Ouweland, Ans M. W. A1 - van Veen, Elke M. A1 - Vijai, Joseph A1 - Wendt, Camilla A1 - Wolk, Alicja A1 - Yu, Jyh-Cherng A1 - Zheng, Wei A1 - Ziogas, Argyrios A1 - Ziv, Elad A1 - Dunnig, Alison A1 - Pharaoh, Paul D. P. A1 - Schindler, Detlev A1 - Devilee, Peter A1 - Easton, Douglas F. T1 - Two truncating variants in FANCC and breast cancer risk JF - Scientific Reports N2 - Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44–1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants. KW - oncology KW - risk factors Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-222838 VL - 9 ER - TY - JOUR A1 - El-Helou, Sabine M. A1 - Biegner, Anika-Kerstin A1 - Bode, Sebastian A1 - Ehl, Stephan R. A1 - Heeg, Maximilian A1 - Maccari, Maria E. A1 - Ritterbusch, Henrike A1 - Speckmann, Carsten A1 - Rusch, Stephan A1 - Scheible, Raphael A1 - Warnatz, Klaus A1 - Atschekzei, Faranaz A1 - Beider, Renata A1 - Ernst, Diana A1 - Gerschmann, Stev A1 - Jablonka, Alexandra A1 - Mielke, Gudrun A1 - Schmidt, Reinhold E. A1 - Schürmann, Gesine A1 - Sogkas, Georgios A1 - Baumann, Ulrich H. A1 - Klemann, Christian A1 - Viemann, Dorothee A1 - Bernuth, Horst von A1 - Krüger, Renate A1 - Hanitsch, Leif G. A1 - Scheibenbogen, Carmen M. A1 - Wittke, Kirsten A1 - Albert, Michael H. A1 - Eichinger, Anna A1 - Hauck, Fabian A1 - Klein, Christoph A1 - Rack-Hoch, Anita A1 - Sollinger, Franz M. A1 - Avila, Anne A1 - Borte, Michael A1 - Borte, Stephan A1 - Fasshauer, Maria A1 - Hauenherm, Anja A1 - Kellner, Nils A1 - Müller, Anna H. A1 - Ülzen, Anett A1 - Bader, Peter A1 - Bakhtiar, Shahrzad A1 - Lee, Jae-Yun A1 - Heß, Ursula A1 - Schubert, Ralf A1 - Wölke, Sandra A1 - Zielen, Stefan A1 - Ghosh, Sujal A1 - Laws, Hans-Juergen A1 - Neubert, Jennifer A1 - Oommen, Prasad T. A1 - Hönig, Manfred A1 - Schulz, Ansgar A1 - Steinmann, Sandra A1 - Klaus, Schwarz A1 - Dückers, Gregor A1 - Lamers, Beate A1 - Langemeyer, Vanessa A1 - Niehues, Tim A1 - Shai, Sonu A1 - Graf, Dagmar A1 - Müglich, Carmen A1 - Schmalzing, Marc T. A1 - Schwaneck, Eva C. A1 - Tony, Hans-Peter A1 - Dirks, Johannes A1 - Haase, Gabriele A1 - Liese, Johannes G. A1 - Morbach, Henner A1 - Foell, Dirk A1 - Hellige, Antje A1 - Wittkowski, Helmut A1 - Masjosthusmann, Katja A1 - Mohr, Michael A1 - Geberzahn, Linda A1 - Hedrich, Christian M. A1 - Müller, Christiane A1 - Rösen-Wolff, Angela A1 - Roesler, Joachim A1 - Zimmermann, Antje A1 - Behrends, Uta A1 - Rieber, Nikolaus A1 - Schauer, Uwe A1 - Handgretinger, Rupert A1 - Holzer, Ursula A1 - Henes, Jörg A1 - Kanz, Lothar A1 - Boesecke, Christoph A1 - Rockstroh, Jürgen K. A1 - Schwarze-Zander, Carolynne A1 - Wasmuth, Jan-Christian A1 - Dilloo, Dagmar A1 - Hülsmann, Brigitte A1 - Schönberger, Stefan A1 - Schreiber, Stefan A1 - Zeuner, Rainald A1 - Ankermann, Tobias A1 - Bismarck, Philipp von A1 - Huppertz, Hans-Iko A1 - Kaiser-Labusch, Petra A1 - Greil, Johann A1 - Jakoby, Donate A1 - Kulozik, Andreas E. A1 - Metzler, Markus A1 - Naumann-Bartsch, Nora A1 - Sobik, Bettina A1 - Graf, Norbert A1 - Heine, Sabine A1 - Kobbe, Robin A1 - Lehmberg, Kai A1 - Müller, Ingo A1 - Herrmann, Friedrich A1 - Horneff, Gerd A1 - Klein, Ariane A1 - Peitz, Joachim A1 - Schmidt, Nadine A1 - Bielack, Stefan A1 - Groß-Wieltsch, Ute A1 - Classen, Carl F. A1 - Klasen, Jessica A1 - Deutz, Peter A1 - Kamitz, Dirk A1 - Lassy, Lisa A1 - Tenbrock, Klaus A1 - Wagner, Norbert A1 - Bernbeck, Benedikt A1 - Brummel, Bastian A1 - Lara-Villacanas, Eusebia A1 - Münstermann, Esther A1 - Schneider, Dominik T. A1 - Tietsch, Nadine A1 - Westkemper, Marco A1 - Weiß, Michael A1 - Kramm, Christof A1 - Kühnle, Ingrid A1 - Kullmann, Silke A1 - Girschick, Hermann A1 - Specker, Christof A1 - Vinnemeier-Laubenthal, Elisabeth A1 - Haenicke, Henriette A1 - Schulz, Claudia A1 - Schweigerer, Lothar A1 - Müller, Thomas G. A1 - Stiefel, Martina A1 - Belohradsky, Bernd H. A1 - Soetedjo, Veronika A1 - Kindle, Gerhard A1 - Grimbacher, Bodo T1 - The German national registry of primary immunodeficiencies (2012-2017) JF - Frontiers in Immunology N2 - Introduction: The German PID-NET registry was founded in 2009, serving as the first national registry of patients with primary immunodeficiencies (PID) in Germany. It is part of the European Society for Immunodeficiencies (ESID) registry. The primary purpose of the registry is to gather data on the epidemiology, diagnostic delay, diagnosis, and treatment of PIDs. Methods: Clinical and laboratory data was collected from 2,453 patients from 36 German PID centres in an online registry. Data was analysed with the software Stata® and Excel. Results: The minimum prevalence of PID in Germany is 2.72 per 100,000 inhabitants. Among patients aged 1-25, there was a clear predominance of males. The median age of living patients ranged between 7 and 40 years, depending on the respective PID. Predominantly antibody disorders were the most prevalent group with 57% of all 2,453 PID patients (including 728 CVID patients). A gene defect was identified in 36% of patients. Familial cases were observed in 21% of patients. The age of onset for presenting symptoms ranged from birth to late adulthood (range 0-88 years). Presenting symptoms comprised infections (74%) and immune dysregulation (22%). Ninety-three patients were diagnosed without prior clinical symptoms. Regarding the general and clinical diagnostic delay, no PID had undergone a slight decrease within the last decade. However, both, SCID and hyper IgE-syndrome showed a substantial improvement in shortening the time between onset of symptoms and genetic diagnosis. Regarding treatment, 49% of all patients received immunoglobulin G (IgG) substitution (70%-subcutaneous; 29%-intravenous; 1%-unknown). Three-hundred patients underwent at least one hematopoietic stem cell transplantation (HSCT). Five patients had gene therapy. Conclusion: The German PID-NET registry is a precious tool for physicians, researchers, the pharmaceutical industry, politicians, and ultimately the patients, for whom the outcomes will eventually lead to a more timely diagnosis and better treatment. KW - registry for primary immunodeficiency KW - primary immunodeficiency (PID) KW - German PID-NET registry KW - PID prevalence KW - European Society for Immunodeficiencies (ESID) KW - IgG substitution therapy KW - CVID Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-226629 VL - 10 ER - TY - JOUR A1 - Manchia, Mirko A1 - Adli, Mazda A1 - Akula, Nirmala A1 - Arda, Raffaella A1 - Aubry, Jean-Michel A1 - Backlund, Lena A1 - Banzato, Claudio E. M. A1 - Baune, Bernhard T. A1 - Bellivier, Frank A1 - Bengesser, Susanne A1 - Biernacka, Joanna M. A1 - Brichant-Petitjean, Clara A1 - Bui, Elise A1 - Calkin, Cynthia V. A1 - Cheng, Andrew Tai Ann A1 - Chillotti, Caterina A1 - Cichon, Sven A1 - Clark, Scott A1 - Czerski, Piotr M. A1 - Dantas, Clarissa A1 - Del Zompo, Maria A1 - DePaulo, J. Raymond A1 - Detera-Wadleigh, Sevilla D. A1 - Etain, Bruno A1 - Falkai, Peter A1 - Frisén, Louise A1 - Frye, Mark A. A1 - Fullerton, Jan A1 - Gard, Sébastien A1 - Garnham, Julie A1 - Goes, Fernando S. A1 - Grof, Paul A1 - Gruber, Oliver A1 - Hashimoto, Ryota A1 - Hauser, Joanna A1 - Heilbronner, Urs A1 - Hoban, Rebecca A1 - Hou, Liping A1 - Jamain, Stéphane A1 - Kahn, Jean-Pierre A1 - Kassem, Layla A1 - Kato, Tadafumi A1 - Kelsoe, John R. A1 - Kittel-Schneider, Sarah A1 - Kliwicki, Sebastian A1 - Kuo, Po-Hsiu A1 - Kusumi, Ichiro A1 - Laje, Gonzalo A1 - Lavebratt, Catharina A1 - Leboyer, Marion A1 - Leckband, Susan G. A1 - López Jaramillo, Carlos A. A1 - Maj, Mario A1 - Malafosse, Alain A1 - Martinsson, Lina A1 - Masui, Takuya A1 - Mitchell, Philip B. A1 - Mondimore, Frank A1 - Monteleone, Palmiero A1 - Nallet, Audrey A1 - Neuner, Maria A1 - Novák, Tomás A1 - O'Donovan, Claire A1 - Ösby, Urban A1 - Ozaki, Norio A1 - Perlis, Roy H. A1 - Pfennig, Andrea A1 - Potash, James B. A1 - Reich-Erkelenz, Daniela A1 - Reif, Andreas A1 - Reininghaus, Eva A1 - Richardson, Sara A1 - Rouleau, Guy A. A1 - Rybakowski, Janusz K. A1 - Schalling, Martin A1 - Schofield, Peter R. A1 - Schubert, Oliver K. A1 - Schweizer, Barbara A1 - Seemüller, Florian A1 - Grigoroiu-Serbanescu, Maria A1 - Severino, Giovanni A1 - Seymour, Lisa R. A1 - Slaney, Claire A1 - Smoller, Jordan W. A1 - Squassina, Alessio A1 - Stamm, Thomas A1 - Steele, Jo A1 - Stopkova, Pavla A1 - Tighe, Sarah K. A1 - Tortorella, Alfonso A1 - Turecki, Gustavo A1 - Wray, Naomi R. A1 - Wright, Adam A1 - Zandi, Peter P. A1 - Zilles, David A1 - Bauer, Michael A1 - Rietschel, Marcella A1 - McMahon, Francis J. A1 - Schulze, Thomas G. A1 - Alda, Martin T1 - Assessment of Response to Lithium Maintenance Treatment in Bipolar Disorder: A Consortium on Lithium Genetics (ConLiGen) Report JF - PLoS ONE N2 - Objective: The assessment of response to lithium maintenance treatment in bipolar disorder (BD) is complicated by variable length of treatment, unpredictable clinical course, and often inconsistent compliance. Prospective and retrospective methods of assessment of lithium response have been proposed in the literature. In this study we report the key phenotypic measures of the "Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder" scale currently used in the Consortium on Lithium Genetics (ConLiGen) study. Materials and Methods: Twenty-nine ConLiGen sites took part in a two-stage case-vignette rating procedure to examine inter-rater agreement [Kappa (\(\kappa\))] and reliability [intra-class correlation coefficient (ICC)] of lithium response. Annotated first-round vignettes and rating guidelines were circulated to expert research clinicians for training purposes between the two stages. Further, we analyzed the distributional properties of the treatment response scores available for 1,308 patients using mixture modeling. Results: Substantial and moderate agreement was shown across sites in the first and second sets of vignettes (\(\kappa\) = 0.66 and \(\kappa\) = 0.54, respectively), without significant improvement from training. However, definition of response using the A score as a quantitative trait and selecting cases with B criteria of 4 or less showed an improvement between the two stages (\(ICC_1 = 0.71\) and \(ICC_2 = 0.75\), respectively). Mixture modeling of score distribution indicated three subpopulations (full responders, partial responders, non responders). Conclusions: We identified two definitions of lithium response, one dichotomous and the other continuous, with moderate to substantial inter-rater agreement and reliability. Accurate phenotypic measurement of lithium response is crucial for the ongoing ConLiGen pharmacogenomic study. KW - age KW - observer agreement KW - prophylactic lithium KW - mapping susceptibility genes KW - mood disorders KW - onset KW - association KW - reliability KW - morality KW - illness Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-130938 VL - 8 IS - 6 ER - TY - JOUR A1 - Rayner, Christopher A1 - Coleman, Jonathan R. I. A1 - Purves, Kirstin L. A1 - Hodsoll, John A1 - Goldsmith, Kimberley A1 - Alpers, Georg W. A1 - Andersson, Evelyn A1 - Arolt, Volker A1 - Boberg, Julia A1 - Bögels, Susan A1 - Creswell, Cathy A1 - Cooper, Peter A1 - Curtis, Charles A1 - Deckert, Jürgen A1 - Domschke, Katharina A1 - El Alaoui, Samir A1 - Fehm, Lydia A1 - Fydrich, Thomas A1 - Gerlach, Alexander L. A1 - Grocholewski, Anja A1 - Hahlweg, Kurt A1 - Hamm, Alfons A1 - Hedman, Erik A1 - Heiervang, Einar R. A1 - Hudson, Jennifer L. A1 - Jöhren, Peter A1 - Keers, Robert A1 - Kircher, Tilo A1 - Lang, Thomas A1 - Lavebratt, Catharina A1 - Lee, Sang-hyuck A1 - Lester, Kathryn J. A1 - Lindefors, Nils A1 - Margraf, Jürgen A1 - Nauta, Maaike A1 - Pané-Farré, Christiane A. A1 - Pauli, Paul A1 - Rapee, Ronald M. A1 - Reif, Andreas A1 - Rief, Winfried A1 - Roberts, Susanna A1 - Schalling, Martin A1 - Schneider, Silvia A1 - Silverman, Wendy K. A1 - Ströhle, Andreas A1 - Teismann, Tobias A1 - Thastum, Mikael A1 - Wannemüller, Andre A1 - Weber, Heike A1 - Wittchen, Hans-Ulrich A1 - Wolf, Christiane A1 - Rück, Christian A1 - Breen, Gerome A1 - Eley, Thalia C. T1 - A genome-wide association meta-analysis of prognostic outcomes following cognitive behavioural therapy in individuals with anxiety and depressive disorders JF - Translational Psychiatry N2 - Major depressive disorder and the anxiety disorders are highly prevalent, disabling and moderately heritable. Depression and anxiety are also highly comorbid and have a strong genetic correlation (r(g) approximate to 1). Cognitive behavioural therapy is a leading evidence-based treatment but has variable outcomes. Currently, there are no strong predictors of outcome. Therapygenetics research aims to identify genetic predictors of prognosis following therapy. We performed genome-wide association meta-analyses of symptoms following cognitive behavioural therapy in adults with anxiety disorders (n = 972), adults with major depressive disorder (n = 832) and children with anxiety disorders (n = 920; meta-analysis n = 2724). We (h(SNP)(2)) and polygenic scoring was used to examine genetic associations between therapy outcomes and psychopathology, personality and estimated the variance in therapy outcomes that could be explained by common genetic variants learning. No single nucleotide polymorphisms were strongly associated with treatment outcomes. No significant estimate of h(SNP)(2) could be obtained, suggesting the heritability of therapy outcome is smaller than our analysis was powered to detect. Polygenic scoring failed to detect genetic overlap between therapy outcome and psychopathology, personality or learning. This study is the largest therapygenetics study to date. Results are consistent with previous, similarly powered genome-wide association studies of complex traits. KW - Human behaviour KW - Personalized medicine KW - Prognostic markers KW - Psychiatric disorders Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-225048 VL - 9 IS - 150 ER - TY - JOUR A1 - Gabriel, Katharina M. A. A1 - Jírů-Hillmann, Steffi A1 - Kraft, Peter A1 - Selig, Udo A1 - Rücker, Victoria A1 - Mühler, Johannes A1 - Dötter, Klaus A1 - Keidel, Matthias A1 - Soda, Hassan A1 - Rascher, Alexandra A1 - Schneider, Rolf A1 - Pfau, Mathias A1 - Hoffmann, Roy A1 - Stenzel, Joachim A1 - Benghebrid, Mohamed A1 - Goebel, Tobias A1 - Doerck, Sebastian A1 - Kramer, Daniela A1 - Haeusler, Karl Georg A1 - Volkmann, Jens A1 - Heuschmann, Peter U. A1 - Fluri, Felix T1 - Two years' experience of implementing a comprehensive telemedical stroke network comprising in mainly rural region: the Transregional Network for Stroke Intervention with Telemedicine (TRANSIT-Stroke) JF - BMC Neurology N2 - Background Telemedicine improves the quality of acute stroke care in rural regions with limited access to specialized stroke care. We report the first 2 years' experience of implementing a comprehensive telemedical stroke network comprising all levels of stroke care in a defined region. Methods The TRANSIT-Stroke network covers a mainly rural region in north-western Bavaria (Germany). All hospitals providing acute stroke care in this region participate in TRANSIT-Stroke, including four hospitals with a supra-regional certified stroke unit (SU) care (level III), three of those providing teleconsultation to two hospitals with a regional certified SU (level II) and five hospitals without specialized SU care (level I). For a two-year-period (01/2015 to 12/2016), data of eight of these hospitals were available; 13 evidence-based quality indicators (QIs) related to processes during hospitalisation were evaluated quarterly and compared according to predefined target values between level-I- and level-II/III-hospitals. Results Overall, 7881 patients were included (mean age 74.6 years +/- 12.8; 48.4% female). In level-II/III-hospitals adherence of all QIs to predefined targets was high ab initio. In level-I-hospitals, three patterns of QI-development were observed: a) high adherence ab initio (31%), mainly in secondary stroke prevention; b) improvement over time (44%), predominantly related to stroke specific diagnosis and in-hospital organization; c) no clear time trends (25%). Overall, 10 out of 13 QIs reached predefined target values of quality of care at the end of the observation period. Conclusion The implementation of the comprehensive TRANSIT-Stroke network resulted in an improvement of quality of care in level-I-hospitals. KW - pilot project KW - care tempis KW - ischemic stroke KW - thrombolysis KW - areas KW - time KW - hospitals KW - mortality KW - outcomes KW - quality Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-229214 VL - 20 ER - TY - JOUR A1 - Marenholz, Ingo A1 - Esparza-Gordillo, Jorge A1 - Rüschendorf, Franz A1 - Bauerfeind, Anja A1 - Strachan, David P. A1 - Spycher, Ben D. A1 - Baurecht, Hansjörg A1 - Magaritte-Jeannin, Patricia A1 - Sääf, Annika A1 - Kerkhof, Marjan A1 - Ege, Markus A1 - Baltic, Svetlana A1 - Matheson, Melanie C. A1 - Li, Jin A1 - Michel, Sven A1 - Ang, Wei Q. A1 - McArdle, Wendy A1 - Arnold, Andreas A1 - Homuth, Georg A1 - Demenais, Florence A1 - Bouzigon, Emmanuelle A1 - Söderhäll, Cilla A1 - Pershagen, Göran A1 - de Jongste, Johan C. A1 - Postma, Dirkje S. A1 - Braun-Fahrländer, Charlotte A1 - Horak, Elisabeth A1 - Ogorodova, Ludmila M. A1 - Puzyrev, Valery P. A1 - Bragina, Elena Yu A1 - Hudson, Thomas J. A1 - Morin, Charles A1 - Duffy, David L. A1 - Marks, Guy B. A1 - Robertson, Colin F. A1 - Montgomery, Grant W. A1 - Musk, Bill A1 - Thompson, Philip J. A1 - Martin, Nicholas G. A1 - James, Alan A1 - Sleiman, Patrick A1 - Toskala, Elina A1 - Rodriguez, Elke A1 - Fölster-Holst, Regina A1 - Franke, Andre A1 - Lieb, Wolfgang A1 - Gieger, Christian A1 - Heinzmann, Andrea A1 - Rietschel, Ernst A1 - Keil, Thomas A1 - Cichon, Sven A1 - Nöthen, Markus M. A1 - Pennel, Craig E. A1 - Sly, Peter D. A1 - Schmidt, Carsten O. A1 - Matanovic, Anja A1 - Schneider, Valentin A1 - Heinig, Matthias A1 - Hübner, Norbert A1 - Holt, Patrick G. A1 - Lau, Susanne A1 - Kabesch, Michael A1 - Weidinger, Stefan A1 - Hakonarson, Hakon A1 - Ferreira, Manuel A. R. A1 - Laprise, Catherine A1 - Freidin, Maxim B. A1 - Genuneit, Jon A1 - Koppelman, Gerard H. A1 - Melén, Erik A1 - Dizier, Marie-Hélène A1 - Henderson, A. John A1 - Lee, Young Ae T1 - Meta-analysis identifies seven susceptibility loci involved in the atopic march JF - Nature Communications N2 - Eczema often precedes the development of asthma in a disease course called the 'atopic march'. To unravel the genes underlying this characteristic pattern of allergic disease, we conduct a multi-stage genome-wide association study on infantile eczema followed by childhood asthma in 12 populations including 2,428 cases and 17,034 controls. Here we report two novel loci specific for the combined eczema plus asthma phenotype, which are associated with allergic disease for the first time; rs9357733 located in EFHC1 on chromosome 6p12.3 (OR 1.27; P = 2.1 x 10(-8)) and rs993226 between TMTC2 and SLC6A15 on chromosome 12q21.3 (OR 1.58; P = 5.3 x 10(-9)). Additional susceptibility loci identified at genome-wide significance are FLG (1q21.3), IL4/KIF3A (5q31.1), AP5B1/OVOL1 (11q13.1), C11orf30/LRRC32 (11q13.5) and IKZF3 (17q21). We show that predominantly eczema loci increase the risk for the atopic march. Our findings suggest that eczema may play an important role in the development of asthma after eczema. KW - chromosome 11Q13 KW - risk KW - genomewide association KW - hay fever KW - birth cohort KW - filaggrin mutations KW - food allergy KW - juvenile myoclonic epilepsy KW - childhood asthma KW - dermatitis Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-139835 VL - 6 IS - 8804 ER - TY - JOUR A1 - Arlt, Wiebke A1 - Biehl, Michael A1 - Taylor, Angela E. A1 - Hahner, Stefanie A1 - Libé, Rossella A1 - Hughes, Beverly A. A1 - Schneider, Petra A1 - Smith, David J. A1 - Stiekema, Han A1 - Krone, Nils A1 - Porfiri, Emilio A1 - Opocher, Giuseppe A1 - Bertherat, Jerôme A1 - Mantero, Franco A1 - Allolio, Bruno A1 - Terzolo, Massimo A1 - Nightingale, Peter A1 - Shackleton, Cedric H. L. A1 - Bertagna, Xavier A1 - Fassnacht, Martin A1 - Stewart, Paul M. T1 - Urine Steroid Metabolomics as a Biomarker Tool for Detecting Malignancy in Adrenal Tumors JF - The Journal of Clinical Endocrinology & Metabolism N2 - Context: Adrenal tumors have a prevalence of around 2% in the general population. Adrenocortical carcinoma (ACC) is rare but accounts for 2–11% of incidentally discovered adrenal masses. Differentiating ACC from adrenocortical adenoma (ACA) represents a diagnostic challenge in patients with adrenal incidentalomas, with tumor size, imaging, and even histology all providing unsatisfactory predictive values. Objective: Here we developed a novel steroid metabolomic approach, mass spectrometry-based steroid profiling followed by machine learning analysis, and examined its diagnostic value for the detection of adrenal malignancy. Design: Quantification of 32 distinct adrenal derived steroids was carried out by gas chromatography/mass spectrometry in 24-h urine samples from 102 ACA patients (age range 19–84 yr) and 45 ACC patients (20–80 yr). Underlying diagnosis was ascertained by histology and metastasis in ACC and by clinical follow-up [median duration 52 (range 26–201) months] without evidence of metastasis in ACA. Steroid excretion data were subjected to generalized matrix learning vector quantization (GMLVQ) to identify the most discriminative steroids. Results: Steroid profiling revealed a pattern of predominantly immature, early-stage steroidogenesis in ACC. GMLVQ analysis identified a subset of nine steroids that performed best in differentiating ACA from ACC. Receiver-operating characteristics analysis of GMLVQ results demonstrated sensitivity = specificity = 90% (area under the curve = 0.97) employing all 32 steroids and sensitivity = specificity = 88% (area under the curve = 0.96) when using only the nine most differentiating markers. Conclusions: Urine steroid metabolomics is a novel, highly sensitive, and specific biomarker tool for discriminating benign from malignant adrenal tumors, with obvious promise for the diagnostic work-up of patients with adrenal incidentalomas. KW - adrenal cortex hormones KW - urine KW - adrenal cortex neoplasms KW - mass spectrometry KW - metabolomics Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-154682 VL - 96 IS - 12 SP - 3775 EP - 3784 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 - Brevik, Erlend J A1 - van Donkelaar, Marjolein M. J. A1 - Weber, Heike A1 - Sánchez-Mora, Cristina A1 - Jacob, Christian A1 - Rivero, Olga A1 - Kittel-Schneider, Sarah A1 - Garcia-martinez, Iris A1 - Aebi, Marcel A1 - van Hulzen, Kimm A1 - Cormand, Bru A1 - Ramos-Quiroga, Josep A A1 - Lesch, Klaus-Peter A1 - Reif, Andreas A1 - Ribases, Marta A1 - Franke, Barbara A1 - Posserud, Maj-Britt A1 - Johansson, Stefan A1 - Lundervold, Astri J. A1 - Haavik, Jan A1 - Zayats, Tetyana T1 - Genome-wide analyses of aggressiveness in attention-deficit hyperactivity disorder JF - American Journal of Medical Genetics Part B-Neuropsychiatric Genetics N2 - Aggressiveness is a behavioral trait that has the potential to be harmful to individuals and society. With an estimated heritability of about 40%, genetics is important in its development. We performed an exploratory genome-wide association (GWA) analysis of childhood aggressiveness in attention deficit hyperactivity disorder (ADHD) to gain insight into the underlying biological processes associated with this trait. Our primary sample consisted of 1,060 adult ADHD patients (aADHD). To further explore the genetic architecture of childhood aggressiveness, we performed enrichment analyses of suggestive genome-wide associations observed in aADHD among GWA signals of dimensions of oppositionality (defiant/vindictive and irritable dimensions) in childhood ADHD (cADHD). No single polymorphism reached genome-wide significance (P<5.00E-08). The strongest signal in aADHD was observed at rs10826548, within a long noncoding RNA gene (beta = -1.66, standard error (SE) = 0.34, P = 1.07E-06), closely followed by rs35974940 in the neurotrimin gene (beta = 3.23, SE = 0.67, P = 1.26E-06). The top GWA SNPs observed in aADHD showed significant enrichment of signals from both the defiant/vindictive dimension (Fisher's P-value = 2.28E-06) and the irritable dimension in cADHD (Fisher's P-value = 0.0061). In sum, our results identify a number of biologically interesting markers possibly underlying childhood aggressiveness and provide targets for further genetic exploration of aggressiveness across psychiatric disorders. KW - Large multicenter ADHD KW - Antisocial behavior KW - Diagnostic approach KW - Rating scale KW - Gene KW - Deficit/hyperactivity disorder KW - Susceptibility loci KW - Conduct disorder KW - Association KW - Adult KW - ADHD KW - Aggression KW - GWAS Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-188116 VL - 171B IS - 5 ER - TY - JOUR A1 - Holländer, Olivia A1 - Schwender, Kristina A1 - Böhme, Petra A1 - Fleckhaus, Jan A1 - Haas, Cordula A1 - Han, Yang A1 - Heidorn, Frank A1 - Klein-Unseld, Rachel A1 - Lichtenwald, Julia A1 - Naue, Jana A1 - Neubauer, Jacqueline A1 - Poetsch, Micaela A1 - Schneider, Peter M. A1 - Wagner, Wolfgang A1 - Vennemann, Marielle T1 - Forensische DNA-Methylierungsanalyse T1 - Forensic DNA methylation analysis : First technical collaborative exercise by the working group on molecular age estimation of the German Society of Legal Medicine BT - Erster, technischer Ringversuch der Arbeitsgruppe „Molekulare Altersschätzung“ der Deutschen Gesellschaft für Rechtsmedizin JF - Rechtsmedizin N2 - Die quantitative Analyse der relativen DNA-Methylierung gilt als eine der vielversprechendsten Methoden der molekularen Altersschätzung. Viele Studien der letzten Jahre identifizierten geeignete Positionen im Genom, deren DNA-Methylierung sich altersabhängig verändert. Für den Einsatz dieser Methode in der Routine- bzw. Fallarbeit ist es von großer Bedeutung, angewandte Analysetechniken zu validieren. Als ein Teilaspekt dieser Validierung sollte die Vergleichbarkeit der Analyseergebnisse zur DNA-Methylierung mithilfe der Mini- und Pyrosequenzierung zwischen verschiedenen Laboren evaluiert werden. Die Arbeitsgruppe „Molekulare Altersschätzung“ der Deutschen Gesellschaft für Rechtsmedizin (DGRM) führte hierzu den ersten, technischen Ringversuch durch, der 4 Positionen in den Genen PDE4C, EDARADD, SST und KLF14 umfasste. Diese Marker waren in vorangegangenen Studien als altersabhängige Biomarker charakterisiert worden. Am Ringversuch nahmen 12 Labore teil, wobei jedes die Wahl zwischen der Minisequenzierung und/oder der Pyrosequenzierung für die quantitative Methylierungsanalyse hatte. Jedem teilnehmenden Labor wurden Blut- und Speichelproben von 3 Personen unterschiedlichen Alters übersandt. Die Wahl der Reagenzien für die Probenbearbeitung wurde den Teilnehmern freigestellt. Die Ergebnisse der Minisequenzierung zeigten systematische Abweichungen zwischen den Laboren, die am ehesten auf die Verwendung unterschiedlicher Reagenzien und Analyseplattformen zurückzuführen sein können. Die Resultate der Pyrosequenzierung hingegen wiesen nicht auf systematische Abweichungen zwischen den Laboren hin, hier zeigte sich jedoch die Tendenz einer markerabhängigen Abweichung. Darüber hinaus konnten Unterschiede hinsichtlich technischer Probleme zwischen Laboren mit mehr Erfahrung in der jeweiligen Sequenzierungsmethode und Laboren mit weniger Erfahrung festgestellt werden. Sowohl die Beobachtung von systematischen als auch die von markerabhängigen Abweichungen lässt den Schluss zu, dass eine Übertragung von Analysemethoden zwischen Laboren grundsätzlich möglich ist, eine Anpassung des jeweiligen Modells zur Altersschätzung jedoch notwendig sein kann. N2 - Quantitative analysis of relative DNA methylation is currently one of the most promising methods of molecular age estimation. In recent years numerous studies identified potential DNA methylation markers showing age-dependent changes in their relative methylation state. For routine application of this method validation is an important prerequisite. One aspect of validation is the degree of comparability of analytical data between laboratories. The working group on molecular age estimation of the German Society for Legal Medicine (DGRM) conducted a first technical proficiency test comprising four age estimation markers within the genes PDE4C, EDARADD, SST and KLF14. These positions were previously characterized as age-dependent biomarkers. A total of 12 laboratories participated using pyrosequencing and/or minisequencing techniques for quantitative analysis of DNA methylation. Each laboratory received blood and buccal swab samples from three individuals of different ages. Laboratories were free in their choice of reagents and material for sequencing. Minisequencing results showed systematic deviations between laboratories, which are believed to originate from differing reagents and sequencing platforms. The results of pyrosequencing did not show clear signs of systematic deviation but did show differences in the comparability between markers. Different levels of technical problems were reported, which correlated with the amount of experience with the sequencing technology. Both systematic and specific differences between analytical data produced in different laboratory settings lead to the conclusion that while it is generally possible to transfer an age estimation method to another laboratory, a mathematical model for age estimation might need to be adjusted accordingly. KW - DNA-Methylierung KW - Pyrosequenzierung KW - Minisequenzierung KW - Ergebnisreproduzierbarkeit KW - Laborleistungstests KW - DNA methylation KW - minisequencing KW - pyrosequencing KW - reproducibility of results KW - laboratory proficiency testing Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-307131 SN - 0937-9819 SN - 1434-5196 VL - 31 IS - 3 ER -