@article{DoerkPeterlongoMannermaaetal.2019,
  author    = {D{\"o}rk, Thilo and Peterlongo, Peter and Mannermaa, Arto and Bolla, Manjeet K. and Wang, Qin and Dennis, Joe and Ahearn, Thomas and Andrulis, Irene L. and Anton-Culver, Hoda and Arndt, Volker and Aronson, Kristan J. and Augustinsson, Annelie and Beane Freeman, Laura E. and Beckmann, Matthias W. and Beeghly-Fadiel, Alicia and Behrens, Sabine and Bermisheva, Marina and Blomqvist, Carl and Bogdanova, Natalia V. and Bojesen, Stig E. and Brauch, Hiltrud and Brenner, Hermann and Burwinkel, Barbara and Canzian, Federico and Chan, Tsun L. and Chang-Claude, Jenny and Chanock, Stephen J. and Choi, Ji-Yeob and Christiansen, Hans and Clarke, Christine L. and Couch, Fergus J. and Czene, Kamila and Daly, Mary B. and dos-Santos-Silva, Isabel and Dwek, Miriam and Eccles, Diana M. and Ekici, Arif B. and Eriksson, Mikael and Evans, D. Gareth and Fasching, Peter A. and Figueroa, Jonine and Flyger, Henrik and Fritschi, Lin and Gabrielson, Marike and Gago-Dominguez, Manuela and Gao, Chi and Gapstur, Susan M. and Garc{\´i}a-Closas, Montserrat and Garc{\´i}a-S{\´a}enz, Jos{\´e} A. and Gaudet, Mia M. and Giles, Graham G. and Goldberg, Mark S. and Goldgar, David E. and Guen{\´e}l, Pascal and Haeberle, Lothar and Haimann, Christopher A. and H{\aa}kansson, Niclas and Hall, Per and Hamann, Ute and Hartman, Mikael and Hauke, Jan and Hein, Alexander and Hillemanns, Peter and Hogervorst, Frans B. L. and Hooning, Maartje J. and Hopper, John L. and Howell, Tony and Huo, Dezheng and Ito, Hidemi and Iwasaki, Motoki and Jakubowska, Anna and Janni, Wolfgang and John, Esther M. and Jung, Audrey and Kaaks, Rudolf and Kang, Daehee and Kapoor, Pooja Middha and Khusnutdinova, Elza and Kim, Sung-Won and Kitahara, Cari M. and Koutros, Stella and Kraft, Peter and Kristensen, Vessela N. and Kwong, Ava and Lambrechts, Diether and Le Marchand, Loic and Li, Jingmei and Lindstr{\"o}m, Sara and Linet, Martha and Lo, Wing-Yee and Long, Jirong and Lophatananon, Artitaya and Lubiński, Jan and Manoochehri, Mehdi and Manoukian, Siranoush and Margolin, Sara and Martinez, Elena and Matsuo, Keitaro and Mavroudis, Dimitris and Meindl, Alfons and Menon, Usha and Milne, Roger L. and Mohd Taib, Nur Aishah and Muir, Kenneth and Mulligan, Anna Marie and Neuhausen, Susan L. and Nevanlinna, Heli and Neven, Patrick and Newman, William G. and Offit, Kenneth and Olopade, Olufunmilayo I. and Olshan, Andrew F. and Olson, Janet E. and Olsson, H{\aa}kan and Park, Sue K. and Park-Simon, Tjoung-Won and Peto, Julian and Plaseska-Karanfilska, Dijana and Pohl-Rescigno, Esther and Presneau, Nadege and Rack, Brigitte and Radice, Paolo and Rashid, Muhammad U. and Rennert, Gad and Rennert, Hedy S. and Romero, Atocha and Ruebner, Matthias and Saloustros, Emmanouil and Schmidt, Marjanka K. and Schmutzler, Rita K. and Schneider, Michael O. and Schoemaker, Minouk J. and Scott, Christopher and Shen, Chen-Yang and Shu, Xiao-Ou and Simard, Jaques and Slager, Susan and Smichkoska, Snezhana and Southey, Melissa C. and Spinelli, John J. and Stone, Jennifer and Surowy, Harald and Swerdlow, Anthony J. and Tamimi, Rulla M. and Tapper, William J. and Teo, Soo H. and Terry, Mary Beth and Toland, Amanda E. and Tollenaar, Rob A. E. M. and Torres, Diana and Torres-Mej{\´i}a, Gabriela and Troester, Melissa A. and Truong, Th{\´e}r{\`e}se and Tsugane, Shoichiro and Untch, Michael and Vachon, Celine M. and van den Ouweland, Ans M. W. and van Veen, Elke M. and Vijai, Joseph and Wendt, Camilla and Wolk, Alicja and Yu, Jyh-Cherng and Zheng, Wei and Ziogas, Argyrios and Ziv, Elad and Dunnig, Alison and Pharaoh, Paul D. P. and Schindler, Detlev and Devilee, Peter and Easton, Douglas F.},
  title     = {Two truncating variants in FANCC and breast cancer risk},
  series = {Scientific Reports},
  volume    = {9},
  journal   = {Scientific Reports},
  organization    = {ABCTB Investigators, NBCS Collaborators},
  doi       = {10.1038/s41598-019-48804-y},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-222838},
  year      = {2019},
  abstract  = {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.},
  language  = {en}
}
@article{ManchiaAdliAkulaetal.2013,
  author    = {Manchia, Mirko and Adli, Mazda and Akula, Nirmala and Arda, Raffaella and Aubry, Jean-Michel and Backlund, Lena and Banzato, Claudio E. M. and Baune, Bernhard T. and Bellivier, Frank and Bengesser, Susanne and Biernacka, Joanna M. and Brichant-Petitjean, Clara and Bui, Elise and Calkin, Cynthia V. and Cheng, Andrew Tai Ann and Chillotti, Caterina and Cichon, Sven and Clark, Scott and Czerski, Piotr M. and Dantas, Clarissa and Del Zompo, Maria and DePaulo, J. Raymond and Detera-Wadleigh, Sevilla D. and Etain, Bruno and Falkai, Peter and Fris{\´e}n, Louise and Frye, Mark A. and Fullerton, Jan and Gard, S{\´e}bastien and Garnham, Julie and Goes, Fernando S. and Grof, Paul and Gruber, Oliver and Hashimoto, Ryota and Hauser, Joanna and Heilbronner, Urs and Hoban, Rebecca and Hou, Liping and Jamain, St{\´e}phane and Kahn, Jean-Pierre and Kassem, Layla and Kato, Tadafumi and Kelsoe, John R. and Kittel-Schneider, Sarah and Kliwicki, Sebastian and Kuo, Po-Hsiu and Kusumi, Ichiro and Laje, Gonzalo and Lavebratt, Catharina and Leboyer, Marion and Leckband, Susan G. and L{\´o}pez Jaramillo, Carlos A. and Maj, Mario and Malafosse, Alain and Martinsson, Lina and Masui, Takuya and Mitchell, Philip B. and Mondimore, Frank and Monteleone, Palmiero and Nallet, Audrey and Neuner, Maria and Nov{\´a}k, Tom{\´a}s and O'Donovan, Claire and {\"O}sby, Urban and Ozaki, Norio and Perlis, Roy H. and Pfennig, Andrea and Potash, James B. and Reich-Erkelenz, Daniela and Reif, Andreas and Reininghaus, Eva and Richardson, Sara and Rouleau, Guy A. and Rybakowski, Janusz K. and Schalling, Martin and Schofield, Peter R. and Schubert, Oliver K. and Schweizer, Barbara and Seem{\"u}ller, Florian and Grigoroiu-Serbanescu, Maria and Severino, Giovanni and Seymour, Lisa R. and Slaney, Claire and Smoller, Jordan W. and Squassina, Alessio and Stamm, Thomas and Steele, Jo and Stopkova, Pavla and Tighe, Sarah K. and Tortorella, Alfonso and Turecki, Gustavo and Wray, Naomi R. and Wright, Adam and Zandi, Peter P. and Zilles, David and Bauer, Michael and Rietschel, Marcella and McMahon, Francis J. and Schulze, Thomas G. and Alda, Martin},
  title     = {Assessment of Response to Lithium Maintenance Treatment in Bipolar Disorder: A Consortium on Lithium Genetics (ConLiGen) Report},
  series = {PLoS ONE},
  volume    = {8},
  journal   = {PLoS ONE},
  number    = {6},
  doi       = {10.1371/journal.pone.0065636},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-130938},
  pages     = {e65636},
  year      = {2013},
  abstract  = {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.},
  language  = {en}
}
@article{ElHelouBiegnerBodeetal.2019,
  author    = {El-Helou, Sabine M. and Biegner, Anika-Kerstin and Bode, Sebastian and Ehl, Stephan R. and Heeg, Maximilian and Maccari, Maria E. and Ritterbusch, Henrike and Speckmann, Carsten and Rusch, Stephan and Scheible, Raphael and Warnatz, Klaus and Atschekzei, Faranaz and Beider, Renata and Ernst, Diana and Gerschmann, Stev and Jablonka, Alexandra and Mielke, Gudrun and Schmidt, Reinhold E. and Sch{\"u}rmann, Gesine and Sogkas, Georgios and Baumann, Ulrich H. and Klemann, Christian and Viemann, Dorothee and Bernuth, Horst von and Kr{\"u}ger, Renate and Hanitsch, Leif G. and Scheibenbogen, Carmen M. and Wittke, Kirsten and Albert, Michael H. and Eichinger, Anna and Hauck, Fabian and Klein, Christoph and Rack-Hoch, Anita and Sollinger, Franz M. and Avila, Anne and Borte, Michael and Borte, Stephan and Fasshauer, Maria and Hauenherm, Anja and Kellner, Nils and M{\"u}ller, Anna H. and {\"U}lzen, Anett and Bader, Peter and Bakhtiar, Shahrzad and Lee, Jae-Yun and Heß, Ursula and Schubert, Ralf and W{\"o}lke, Sandra and Zielen, Stefan and Ghosh, Sujal and Laws, Hans-Juergen and Neubert, Jennifer and Oommen, Prasad T. and H{\"o}nig, Manfred and Schulz, Ansgar and Steinmann, Sandra and Klaus, Schwarz and D{\"u}ckers, Gregor and Lamers, Beate and Langemeyer, Vanessa and Niehues, Tim and Shai, Sonu and Graf, Dagmar and M{\"u}glich, Carmen and Schmalzing, Marc T. and Schwaneck, Eva C. and Tony, Hans-Peter and Dirks, Johannes and Haase, Gabriele and Liese, Johannes G. and Morbach, Henner and Foell, Dirk and Hellige, Antje and Wittkowski, Helmut and Masjosthusmann, Katja and Mohr, Michael and Geberzahn, Linda and Hedrich, Christian M. and M{\"u}ller, Christiane and R{\"o}sen-Wolff, Angela and Roesler, Joachim and Zimmermann, Antje and Behrends, Uta and Rieber, Nikolaus and Schauer, Uwe and Handgretinger, Rupert and Holzer, Ursula and Henes, J{\"o}rg and Kanz, Lothar and Boesecke, Christoph and Rockstroh, J{\"u}rgen K. and Schwarze-Zander, Carolynne and Wasmuth, Jan-Christian and Dilloo, Dagmar and H{\"u}lsmann, Brigitte and Sch{\"o}nberger, Stefan and Schreiber, Stefan and Zeuner, Rainald and Ankermann, Tobias and Bismarck, Philipp von and Huppertz, Hans-Iko and Kaiser-Labusch, Petra and Greil, Johann and Jakoby, Donate and Kulozik, Andreas E. and Metzler, Markus and Naumann-Bartsch, Nora and Sobik, Bettina and Graf, Norbert and Heine, Sabine and Kobbe, Robin and Lehmberg, Kai and M{\"u}ller, Ingo and Herrmann, Friedrich and Horneff, Gerd and Klein, Ariane and Peitz, Joachim and Schmidt, Nadine and Bielack, Stefan and Groß-Wieltsch, Ute and Classen, Carl F. and Klasen, Jessica and Deutz, Peter and Kamitz, Dirk and Lassy, Lisa and Tenbrock, Klaus and Wagner, Norbert and Bernbeck, Benedikt and Brummel, Bastian and Lara-Villacanas, Eusebia and M{\"u}nstermann, Esther and Schneider, Dominik T. and Tietsch, Nadine and Westkemper, Marco and Weiß, Michael and Kramm, Christof and K{\"u}hnle, Ingrid and Kullmann, Silke and Girschick, Hermann and Specker, Christof and Vinnemeier-Laubenthal, Elisabeth and Haenicke, Henriette and Schulz, Claudia and Schweigerer, Lothar and M{\"u}ller, Thomas G. and Stiefel, Martina and Belohradsky, Bernd H. and Soetedjo, Veronika and Kindle, Gerhard and Grimbacher, Bodo},
  title     = {The German national registry of primary immunodeficiencies (2012-2017)},
  series = {Frontiers in Immunology},
  volume    = {10},
  journal   = {Frontiers in Immunology},
  doi       = {10.3389/fimmu.2019.01272},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-226629},
  year      = {2019},
  abstract  = {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.},
  language  = {en}
}
@article{RaynerColemanPurvesetal.2019,
  author    = {Rayner, Christopher and Coleman, Jonathan R. I. and Purves, Kirstin L. and Hodsoll, John and Goldsmith, Kimberley and Alpers, Georg W. and Andersson, Evelyn and Arolt, Volker and Boberg, Julia and B{\"o}gels, Susan and Creswell, Cathy and Cooper, Peter and Curtis, Charles and Deckert, J{\"u}rgen and Domschke, Katharina and El Alaoui, Samir and Fehm, Lydia and Fydrich, Thomas and Gerlach, Alexander L. and Grocholewski, Anja and Hahlweg, Kurt and Hamm, Alfons and Hedman, Erik and Heiervang, Einar R. and Hudson, Jennifer L. and J{\"o}hren, Peter and Keers, Robert and Kircher, Tilo and Lang, Thomas and Lavebratt, Catharina and Lee, Sang-hyuck and Lester, Kathryn J. and Lindefors, Nils and Margraf, J{\"u}rgen and Nauta, Maaike and Pan{\´e}-Farr{\´e}, Christiane A. and Pauli, Paul and Rapee, Ronald M. and Reif, Andreas and Rief, Winfried and Roberts, Susanna and Schalling, Martin and Schneider, Silvia and Silverman, Wendy K. and Str{\"o}hle, Andreas and Teismann, Tobias and Thastum, Mikael and Wannem{\"u}ller, Andre and Weber, Heike and Wittchen, Hans-Ulrich and Wolf, Christiane and R{\"u}ck, Christian and Breen, Gerome and Eley, Thalia C.},
  title     = {A genome-wide association meta-analysis of prognostic outcomes following cognitive behavioural therapy in individuals with anxiety and depressive disorders},
  series = {Translational Psychiatry},
  volume    = {9},
  journal   = {Translational Psychiatry},
  number    = {150},
  doi       = {10.1038/s41398-019-0481-y},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-225048},
  pages     = {1-13},
  year      = {2019},
  abstract  = {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.},
  language  = {en}
}
@article{GabrielJirůHillmannKraftetal.2020,
  author    = {Gabriel, Katharina M. A. and J{\´i}rů-Hillmann, Steffi and Kraft, Peter and Selig, Udo and R{\"u}cker, Victoria and M{\"u}hler, Johannes and D{\"o}tter, Klaus and Keidel, Matthias and Soda, Hassan and Rascher, Alexandra and Schneider, Rolf and Pfau, Mathias and Hoffmann, Roy and Stenzel, Joachim and Benghebrid, Mohamed and Goebel, Tobias and Doerck, Sebastian and Kramer, Daniela and Haeusler, Karl Georg and Volkmann, Jens and Heuschmann, Peter U. and Fluri, Felix},
  title     = {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)},
  series = {BMC Neurology},
  volume    = {20},
  journal   = {BMC Neurology},
  doi       = {10.1186/s12883-020-01676-6},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-229214},
  year      = {2020},
  abstract  = {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.},
  language  = {en}
}
@article{SchofferSchueleinArandetal.2016,
  author    = {Schoffer, Olaf and Sch{\"u}lein, Stefanie and Arand, Gerlinde and Arnholdt, Hans and Baaske, Dieter and Bargou, Ralf C. and Becker, Nikolaus and Beckmann, Matthias W. and Bodack, Yves and B{\"o}hme, Beatrix and Bozkurt, Tayfun and Breitsprecher, Regine and Buchali, Andre and Burger, Elke and Burger, Ulrike and Dommisch, Klaus and Elsner, Gudrun and Fernschild, Karin and Flintzer, Ulrike and Funke, Uwe and Gerken, Michael and G{\"o}bel, Hubert and Grobe, Norbert and Gumpp, Vera and Heinzerling, Lucie and Kempfer, Lana Raffaela and Kiani, Alexander and Klinkhammer-Schalke, Monika and Kl{\"o}cking, Sabine and Kreibich, Ute and Knabner, Katrin and Kuhn, Peter and Lutze, Stine and M{\"a}der, Uwe and Maisel, Tanja and Maschke, Jan and Middeke, Martin and Neubauer, Andreas and Niedostatek, Antje and Opazo-Saez, Anabelle and Peters, Christoph and Schell, Beatrice and Schenkirsch, Gerhard and Schmalenberg, Harald and Schmidt, Peter and Schneider, Constanze and Schubotz, Birgit and Seide, Anika and Strecker, Paul and Taubenheim, Sabine and Wackes, Matthias and Weiß, Steffen and Welke, Claudia and Werner, Carmen and Wittekind, Christian and Wulff, J{\"o}rg and Zettl, Heike and Klug, Stefanie J.},
  title     = {Tumour stage distribution and survival of malignant melanoma in Germany 2002-2011},
  series = {BMC Cancer},
  volume    = {16},
  journal   = {BMC Cancer},
  number    = {936},
  doi       = {10.1186/s12885-016-2963-0},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-164544},
  year      = {2016},
  abstract  = {Background Over the past two decades, there has been a rising trend in malignant melanoma incidence worldwide. In 2008, Germany introduced a nationwide skin cancer screening program starting at age 35. The aims of this study were to analyse the distribution of malignant melanoma tumour stages over time, as well as demographic and regional differences in stage distribution and survival of melanoma patients. Methods Pooled data from 61 895 malignant melanoma patients diagnosed between 2002 and 2011 and documented in 28 German population-based and hospital-based clinical cancer registries were analysed using descriptive methods, joinpoint regression, logistic regression and relative survival. Results The number of annually documented cases increased by 53.2\% between 2002 (N = 4 779) and 2011 (N = 7 320). There was a statistically significant continuous positive trend in the proportion of stage UICC I cases diagnosed between 2002 and 2011, compared to a negative trend for stage UICC II. No trends were found for stages UICC III and IV respectively. Age (OR 0.97, 95\% CI 0.97-0.97), sex (OR 1.18, 95\% CI 1.11-1.25), date of diagnosis (OR 1.05, 95\% CI 1.04-1.06), 'diagnosis during screening' (OR 3.24, 95\% CI 2.50-4.19) and place of residence (OR 1.23, 95\% CI 1.16-1.30) had a statistically significant influence on the tumour stage at diagnosis. The overall 5-year relative survival for invasive cases was 83.4\% (95\% CI 82.8-83.9\%). Conclusions No distinct changes in the distribution of malignant melanoma tumour stages among those aged 35 and older were seen that could be directly attributed to the introduction of skin cancer screening in 2008. "},
  language  = {en}
}
@article{SommerAmrBavendieketal.2022,
  author    = {Sommer, Kim K. and Amr, Ali and Bavendiek, Udo and Beierle, Felix and Brunecker, Peter and Dathe, Henning and Eils, J{\"u}rgen and Ertl, Maximilian and Fette, Georg and Gietzelt, Matthias and Heidecker, Bettina and Hellenkamp, Kristian and Heuschmann, Peter and Hoos, Jennifer D. E. and Keszty{\"u}s, Tibor and Kerwagen, Fabian and Kindermann, Aljoscha and Krefting, Dagmar and Landmesser, Ulf and Marschollek, Michael and Meder, Benjamin and Merzweiler, Angela and Prasser, Fabian and Pryss, R{\"u}diger and Richter, Jendrik and Schneider, Philipp and St{\"o}rk, Stefan and Dieterich, Christoph},
  title     = {Structured, harmonized, and interoperable integration of clinical routine data to compute heart failure risk scores},
  series = {Life},
  volume    = {12},
  journal   = {Life},
  number    = {5},
  issn      = {2075-1729},
  doi       = {10.3390/life12050749},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-275239},
  year      = {2022},
  abstract  = {Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources. Risk scores derived from controlled clinical studies can be used to calculate the risk of mortality and HF hospitalizations. However, these scores are poorly implemented into routine care, predominantly because their calculation requires considerable efforts in practice and necessary data often are not available in an interoperable format. In this work, we demonstrate the feasibility of a multi-site solution to derive and calculate two exemplary HF scores from clinical routine data (MAGGIC score with six continuous and eight categorical variables; Barcelona Bio-HF score with five continuous and six categorical variables). Within HiGHmed, a German Medical Informatics Initiative consortium, we implemented an interoperable solution, collecting a harmonized HF-phenotypic core data set (CDS) within the openEHR framework. Our approach minimizes the need for manual data entry by automatically retrieving data from primary systems. We show, across five participating medical centers, that the implemented structures to execute dedicated data queries, followed by harmonized data processing and score calculation, work well in practice. In summary, we demonstrated the feasibility of clinical routine data usage across multiple partner sites to compute HF risk scores. This solution can be extended to a large spectrum of applications in clinical care.},
  language  = {en}
}
@article{ArltBiehlTayloretal.2011,
  author    = {Arlt, Wiebke and Biehl, Michael and Taylor, Angela E. and Hahner, Stefanie and Lib{\´e}, Rossella and Hughes, Beverly A. and Schneider, Petra and Smith, David J. and Stiekema, Han and Krone, Nils and Porfiri, Emilio and Opocher, Giuseppe and Bertherat, Jer{\^o}me and Mantero, Franco and Allolio, Bruno and Terzolo, Massimo and Nightingale, Peter and Shackleton, Cedric H. L. and Bertagna, Xavier and Fassnacht, Martin and Stewart, Paul M.},
  title     = {Urine Steroid Metabolomics as a Biomarker Tool for Detecting Malignancy in Adrenal Tumors},
  series = {The Journal of Clinical Endocrinology \& Metabolism},
  volume    = {96},
  journal   = {The Journal of Clinical Endocrinology \& Metabolism},
  number    = {12},
  doi       = {10.1210/jc.2011-1565},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-154682},
  pages     = {3775 -- 3784},
  year      = {2011},
  abstract  = {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.},
  language  = {en}
}
@article{SeydelmannLiuKraemeretal.2016,
  author    = {Seydelmann, Nora and Liu, Dan and Kr{\"a}mer, Johannes and Drechsler, Christiane and Hu, Kai and Nordbeck, Peter and Schneider, Andreas and St{\"o}rk, Stefan and Bijnens, Bart and Ertl, Georg and Wanner, Christoph and Weidemann, Frank},
  title     = {High-Sensitivity Troponin: A Clinical Blood Biomarker for Staging Cardiomyopathy in Fabry Disease},
  series = {Journal of the American Heart Association},
  volume    = {5},
  journal   = {Journal of the American Heart Association},
  number    = {e002839},
  doi       = {10.1161/JAHA.115.002839},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-165682},
  year      = {2016},
  abstract  = {Background High-sensitivity troponin (hs-TNT), a biomarker of myocardial damage, might be useful for assessing fibrosis in Fabry cardiomyopathy. We performed a prospective analysis of hs-TNT as a biomarker for myocardial changes in Fabry patients and a retrospective longitudinal follow-up study to assess longitudinal hs-TNT changes relative to fibrosis and cardiomyopathy progression. Methods and Results For the prospective analysis, hs-TNT from 75 consecutive patients with genetically confirmed Fabry disease was analyzed relative to typical Fabry-associated echocardiographic findings and total myocardial fibrosis as measured by late gadolinium enhancement (LE) on magnetic resonance imaging. Longitudinal data (3.9±2.0 years), including hs-TNT, LE, and echocardiographic findings from 58 Fabry patients, were retrospectively collected. Hs-TNT level positively correlated with LE (linear correlation coefficient, 0.72; odds ratio, 32.81 [95\% CI, 3.56-302.59]; P=0.002); patients with elevated baseline hs-TNT (>14 ng/L) showed significantly increased LE (median: baseline, 1.9 [1.1-3.3] \%; follow-up, 3.2 [2.3-4.9] \%; P<0.001) and slightly elevated hs-TNT (baseline, 44.7 [30.1-65.3] ng/L; follow-up, 49.1 [27.6-69.5] ng/L; P=0.116) during follow-up. Left ventricular wall thickness and EF of patients with elevated hs-TNT were decreased during follow-up, indicating potential cardiomyopathy progression. Conclusions hs-TNT is an accurate, easily accessible clinical blood biomarker for detecting replacement fibrosis in patients with Fabry disease and a qualified predictor of cardiomyopathy progression. Thus, hs-TNT could be helpful for staging and follow-up of Fabry patients.},
  language  = {en}
}
@article{MagyarWagnerThomasetal.2019,
  author    = {Magyar, Attila and Wagner, Martin and Thomas, Phillip and Malsch, Carolin and Schneider, Reinhard and St{\"o}rk, Stefan and Heuschmann, Peter U and Leyh, Rainer G and Oezkur, Mehmet},
  title     = {HO-1 concentrations 24 hours after cardiac surgery are associated with the incidence of acute kidney injury: a prospective cohort study},
  series = {International Journal of Nephrology and Renovascular Disease},
  volume    = {12},
  journal   = {International Journal of Nephrology and Renovascular Disease},
  doi       = {10.2147/IJNRD.S165308},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-177250},
  pages     = {9-18},
  year      = {2019},
  abstract  = {Background: Acute kidney injury (AKI) is a serious complication after cardiac surgery that is associated with increased mortality and morbidity. Heme oxygenase-1 (HO-1) is an enzyme synthesized in renal tubular cells as one of the most intense responses to oxidant stress linked with protective, anti-inflammatory properties. Yet, it is unknown if serum HO-1 induction following cardiac surgical procedure involving cardiopulmonary bypass (CPB) is associated with incidence and severity of AKI. Patients and methods: In the present study, we used data from a prospective cohort study of 150 adult cardiac surgical patients. HO-1 measurements were performed before, immediately after and 24 hours post-CPB. In univariate and multivariate analyses, the association between HO-1 and AKI was investigated. Results: AKI with an incidence of 23.3\% (35 patients) was not associated with an early elevation of HO-1 after CPB in all patients (P=0.88), whereas patients suffering from AKI developed a second burst of HO-1 24 hours after CBP. In patients without AKI, the HO-1 concentrations dropped to baseline values (P=0.031). Furthermore, early HO-1 induction was associated with CPB time (P=0.046), while the ones 24 hours later lost this association (P=0.219). Conclusion: The association of the second HO-1 burst 24 hours after CBP might help to distinguish between the causality of AKI in patients undergoing CBP, thus helping to adapt patient stratification and management.},
  language  = {en}
}