@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{DornelasAntaoMoyesetal.2018, author = {Dornelas, Maria and Ant{\~a}o, Laura H. and Moyes, Faye and Bates, Amanda E. and Magurran, Anne E. and Adam, Dušan and Akhmetzhanova, Asem A. and Appeltans, Ward and Arcos, Jos{\´e} Manuel and Arnold, Haley and Ayyappan, Narayanan and Badihi, Gal and Baird, Andrew H. and Barbosa, Miguel and Barreto, Tiago Egydio and B{\"a}ssler, Claus and Bellgrove, Alecia and Belmaker, Jonathan and Benedetti-Cecchi, Lisandro and Bett, Brian J. and Bjorkman, Anne D. and Błażewicz, Magdalena and Blowes, Shane A. and Bloch, Christopher P. Bloch and Bonebrake, Timothy C. and Boyd, Susan and Bradford, Matt and Brooks, Andrew J. and Brown, James H. and Bruelheide, Helge and Budy, Phaedra and Carvalho, Fernando and Casta{\~n}eda-Moya, Edward and Chen, Chaolun Allen and Chamblee, John F. and Chase, Tory J. and Siegwart Collier, Laura and Collinge, Sharon K. and Condit, Richard and Cooper, Elisabeth J. and Cornelissen, J. Hans C. and Cotano, Unai and Crow, Shannan Kyle and Damasceno, Gabriella and Davies, Claire H. and Davis, Robert A. and Day, Frank P. and Degraer, Steven and Doherty, Tim S. and Dunn, Timothy E. and Durigan, Giselda and Duffy, J. Emmett and Edelist, Dor and Edgar, Graham J. and Elahi, Robin and Elmendorf, Sarah C. and Enemar, Anders and Ernest, S. K. Morgan and Escribano, Rub{\´e}n and Estiarte, Marc and Evans, Brian S. and Fan, Tung-Yung and Turini Farah, Fabiano and Loureiro Fernandes, Luiz and Farneda, F{\´a}bio Z. and Fidelis, Alessandra and Fitt, Robert and Fosaa, Anna Maria and Franco, Geraldo Antonio Daher Correa and Frank, Grace E. and Fraser, William R. and Garc{\´i}a, Hernando and Cazzolla Gatti, Roberto and Givan, Or and Gorgone-Barbosa, Elizabeth and Gould, William A. and Gries, Corinna and Grossman, Gary D. and Gutierr{\´e}z, Julio R. and Hale, Stephen and Harmon, Mark E. and Harte, John and Haskins, Gary and Henshaw, Donald L. and Hermanutz, Luise and Hidalgo, Pamela and Higuchi, Pedro and Hoey, Andrew and Van Hoey, Gert and Hofgaard, Annika and Holeck, Kristen and Hollister, Robert D. and Holmes, Richard and Hoogenboom, Mia and Hsieh, Chih-hao and Hubbell, Stephen P. and Huettmann, Falk and Huffard, Christine L. and Hurlbert, Allen H. and Ivanauskas, Nat{\´a}lia Macedo and Jan{\´i}k, David and Jandt, Ute and Jażdżewska, Anna and Johannessen, Tore and Johnstone, Jill and Jones, Julia and Jones, Faith A. M. and Kang, Jungwon and Kartawijaya, Tasrif and Keeley, Erin C. and Kelt, Douglas A. and Kinnear, Rebecca and Klanderud, Kari and Knutsen, Halvor and Koenig, Christopher C. and Kortz, Alessandra R. and Kr{\´a}l, Kamil and Kuhnz, Linda A. and Kuo, Chao-Yang and Kushner, David J. and Laguionie-Marchais, Claire and Lancaster, Lesley T. and Lee, Cheol Min and Lefcheck, Jonathan S. and L{\´e}vesque, Esther and Lightfoot, David and Lloret, Francisco and Lloyd, John D. and L{\´o}pez-Baucells, Adri{\`a} and Louzao, Maite and Madin, Joshua S. and Magn{\´u}sson, Borgþ{\´o}r and Malamud, Shahar and Matthews, Iain and McFarland, Kent P. and McGill, Brian and McKnight, Diane and McLarney, William O. and Meador, Jason and Meserve, Peter L. and Metcalfe, Daniel J. and Meyer, Christoph F. J. and Michelsen, Anders and Milchakova, Nataliya and Moens, Tom and Moland, Even and Moore, Jon and Moreira, Carolina Mathias and M{\"u}ller, J{\"o}rg and Murphy, Grace and Myers-Smith, Isla H. and Myster, Randall W. and Naumov, Andrew and Neat, Francis and Nelson, James A. and Nelson, Michael Paul and Newton, Stephen F. and Norden, Natalia and Oliver, Jeffrey C. and Olsen, Esben M. and Onipchenko, Vladimir G. and Pabis, Krzysztof and Pabst, Robert J. and Paquette, Alain and Pardede, Sinta and Paterson, David M. and P{\´e}lissier, Rapha{\"e}l and Pe{\~n}uelas, Josep and P{\´e}rez-Matus, Alejandro and Pizarro, Oscar and Pomati, Francesco and Post, Eric and Prins, Herbert H. T. and Priscu, John C. and Provoost, Pieter and Prudic, Kathleen L. and Pulliainen, Erkki and Ramesh, B. R. and Ramos, Olivia Mendivil and Rassweiler, Andrew and Rebelo, Jose Eduardo and Reed, Daniel C. and Reich, Peter B. and Remillard, Suzanne M. and Richardson, Anthony J. and Richardson, J. Paul and van Rijn, Itai and Rocha, Ricardo and Rivera-Monroy, Victor H. and Rixen, Christian and Robinson, Kevin P. and Rodrigues, Ricardo Ribeiro and de Cerqueira Rossa-Feres, Denise and Rudstam, Lars and Ruhl, Henry and Ruz, Catalina S. and Sampaio, Erica M. and Rybicki, Nancy and Rypel, Andrew and Sal, Sofia and Salgado, Beatriz and Santos, Flavio A. M. and Savassi-Coutinho, Ana Paula and Scanga, Sara and Schmidt, Jochen and Schooley, Robert and Setiawan, Fakhrizal and Shao, Kwang-Tsao and Shaver, Gaius R. and Sherman, Sally and Sherry, Thomas W. and Siciński, Jacek and Sievers, Caya and da Silva, Ana Carolina and da Silva, Fernando Rodrigues and Silveira, Fabio L. and Slingsby, Jasper and Smart, Tracey and Snell, Sara J. and Soudzilovskaia, Nadejda A. and Souza, Gabriel B. G. and Souza, Flaviana Maluf and Souza, Vin{\´i}cius Castro and Stallings, Christopher D. and Stanforth, Rowan and Stanley, Emily H. and Sterza, Jos{\´e} Mauro and Stevens, Maarten and Stuart-Smith, Rick and Suarez, Yzel Rondon and Supp, Sarah and Tamashiro, Jorge Yoshio and Tarigan, Sukmaraharja and Thiede, Gary P. and Thorn, Simon and Tolvanen, Anne and Toniato, Maria Teresa Zugliani and Totland, {\O}rjan and Twilley, Robert R. and Vaitkus, Gediminas and Valdivia, Nelson and Vallejo, Martha Isabel and Valone, Thomas J. and Van Colen, Carl and Vanaverbeke, Jan and Venturoli, Fabio and Verheye, Hans M. and Vianna, Marcelo and Vieira, Rui P. and Vrška, Tom{\´a}š and Vu, Con Quang and Vu, Lien Van and Waide, Robert B. and Waldock, Conor and Watts, Dave and Webb, Sara and Wesołowski, Tomasz and White, Ethan P. and Widdicombe, Claire E. and Wilgers, Dustin and Williams, Richard and Williams, Stefan B. and Williamson, Mark and Willig, Michael R. and Willis, Trevor J. and Wipf, Sonja and Woods, Kerry D. and Woehler, Eric J. and Zawada, Kyle and Zettler, Michael L.}, title = {BioTIME: A database of biodiversity time series for the Anthropocene}, series = {Global Ecology and Biogeography}, volume = {27}, journal = {Global Ecology and Biogeography}, doi = {10.1111/geb.12729}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-222846}, pages = {760-786}, year = {2018}, abstract = {Motivation The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2). Time period and grain BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format .csv and .SQL.}, language = {en} } @article{FrankSchmittHovestadtetal.2017, author = {Frank, Erik Thomas and Schmitt, Thomas and Hovestadt, Thomas and Mitesser, Oliver and Stiegler, Jonas and Linsenmair, Karl Eduard}, title = {Saving the injured: Rescue behavior in the termite-hunting ant Megaponera analis}, series = {Science Advances}, volume = {3}, journal = {Science Advances}, number = {4}, doi = {10.1126/sciadv.1602187}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-157933}, pages = {e1602187}, year = {2017}, abstract = {Predators of highly defensive prey likely develop cost-reducing adaptations. The ant Megaponera analis is a specialized termite predator, solely raiding termites of the subfamily Macrotermitinae (in this study, mostly colonies of Pseudocanthotermes sp.) at their foraging sites. The evolutionary arms race between termites and ants led to various defensive mechanisms in termites (for example, a caste specialized in fighting predators). Because M. analis incurs high injury/mortality risks when preying on termites, some risk-mitigating adaptations seem likely to have evolved. We show that a unique rescue behavior in M. analis, consisting of injured nestmates being carried back to the nest, reduces combat mortality. After a fight, injured ants are carried back by their nestmates; these ants have usually lost an extremity or have termites clinging to them and are able to recover within the nest. Injured ants that are forced experimentally to return without help, die in 32\% of the cases. Behavioral experiments show that two compounds, dimethyl disulfide and dimethyl trisulfide, present in the mandibular gland reservoirs, trigger the rescue behavior. A model accounting for this rescue behavior identifies the drivers favoring its evolution and estimates that rescuing enables maintenance of a 28.7\% larger colony size. Our results are the first to explore experimentally the adaptive value of this form of rescue behavior focused on injured nestmates in social insects and help us to identify evolutionary drivers responsible for this type of behavior to evolve in animals.}, language = {en} } @article{SchattonYangKleffeletal.2015, author = {Schatton, Tobias and Yang, Jun and Kleffel, Sonja and Uehara, Mayuko and Barthel, Steven R. and Schlapbach, Christoph and Zhan, Qian and Dudeney, Stephen and Mueller, Hansgeorg and Lee, Nayoung and de Vries, Juliane C. and Meier, Barbara and Beken, Seppe Vander and Kluth, Mark A. and Ganss, Christoph and Sharpe, Arlene H. and Waaga-Gasser, Ana Maria and Sayegh, Mohamed H. and Abdi, Reza and Scharffetter-Kochanek, Karin and Murphy, George F. and Kupper, Thomas S. and Frank, Natasha Y. and Frank, Markus H.}, title = {ABCB5 Identifies Immunoregulatory Dermal Cells}, series = {Cell Reports}, volume = {12}, journal = {Cell Reports}, doi = {10.1016/j.celrep.2015.08.010}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-149989}, pages = {1564 -- 1574}, year = {2015}, abstract = {Cell-based strategies represent a new frontier in the treatment of immune-mediated disorders. However, the paucity of markers for isolation of molecularly defined immunomodulatory cell populations poses a barrier to this field. Here, we show that ATP-binding cassette member B5 (ABCB5) identifies dermal immunoregulatory cells (DIRCs) capable of exerting therapeutic immunoregulatory functions through engagement of programmed cell death 1 (PD-1). Purified Abcb5\(^+\) DIRCs suppressed T cell proliferation, evaded immune rejection, homed to recipient immune tissues, and induced Tregs in vivo. In fully major-histocompatibility-complex-mismatched cardiac allotransplantation models, allogeneic DIRCs significantly prolonged allograft survival. Blockade of DIRC-expressed PD-1 reversed the inhibitory effects of DIRCs on T cell activation, inhibited DIRC-dependent Treg induction, and attenuated DIRC-induced prolongation of cardiac allograft survival, indicating that DIRC immunoregulatory function is mediated, at least in part, through PD-1. Our results identify ABCB5\(^+\) DIRCs as a distinct immunoregulatory cell population and suggest promising roles of this expandable cell subset in cellular immunotherapy.}, language = {en} } @article{deBoerDeKeulenaerBauersachsetal.2019, author = {de Boer, Rudolf A. and De Keulenaer, Gilles and Bauersachs, Johann and Brutsaert, Dirk and Cleland, John G. and Diez, Javier and Du, Xiao-Jun and Ford, Paul and Heinzel, Frank R. and Lipson, Kenneth E. and McDonagh, Theresa and Lopez-Andres, Natalia and Lunde, Ida G. and Lyon, Alexander R. and Pollesello, Piero and Prasad, Sanjay K. and Tocchetti, Carlo G. and Mayr, Manuel and Sluijter, Joost P. G. and Thum, Thomas and Tsch{\"o}pe, Carsten and Zannad, Faiez and Zimmermann, Wolfram-Hubertus and Ruschitzka, Frank and Filippatos, Gerasimos and Lindsey, Merry L. and Maack, Christoph and Heymans, Stephane}, title = {Towards better definition, quantification and treatment of fibrosis in heart failure. A scientific roadmap by the Committee of Translational Research of the Heart Failure Association (HFA) of the European Society of Cardiology}, series = {European Journal of Heart Failure}, volume = {21}, journal = {European Journal of Heart Failure}, doi = {10.1002/ejhf.1406}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-223613}, pages = {272-285}, year = {2019}, abstract = {Fibrosis is a pivotal player in heart failure development and progression. Measurements of (markers of) fibrosis in tissue and blood may help to diagnose and risk stratify patients with heart failure, and its treatment may be effective in preventing heart failure and its progression. A lack of pathophysiological insights and uniform definitions has hampered the research in fibrosis and heart failure. The Translational Research Committee of the Heart Failure Association discussed several aspects of fibrosis in their workshop. Early insidious perturbations such as subclinical hypertension or inflammation may trigger first fibrotic events, while more dramatic triggers such as myocardial infarction and myocarditis give rise to full blown scar formation and ongoing fibrosis in diseased hearts. Aging itself is also associated with a cardiac phenotype that includes fibrosis. Fibrosis is an extremely heterogeneous phenomenon, as several stages of the fibrotic process exist, each with different fibrosis subtypes and a different composition of various cells and proteins — resulting in a very complex pathophysiology. As a result, detection of fibrosis, e.g. using current cardiac imaging modalities or plasma biomarkers, will detect only specific subforms of fibrosis, but cannot capture all aspects of the complex fibrotic process. Furthermore, several anti-fibrotic therapies are under investigation, but such therapies generally target aspecific aspects of the fibrotic process and suffer from a lack of precision. This review discusses the mechanisms and the caveats and proposes a roadmap for future research.}, language = {en} } @inproceedings{SchwaneckWelgeBoppetal.2010, author = {Schwaneck, Stefan and Welge, Christopher and Bopp, Ann-Kathrin and Faulhaber, Sarah and Hampel, Susanne and Pfletschinger, Maike and Nebelung, Lisa and Hamme, Berit and Priddat, Birger and Salmen, Thomas and Rosenthal, Georg and Neumann, Bernd and Deeg, Steffen and Buytendijk, Frank and Gonzalez, Thomas and Tr{\"a}ger, Gloria and Mayer, Benjamin and Mohamad, Christoph and Reinders, Heinz and Bohmeier, Bernhard}, title = {Chef, lass uns mal Kultur machen! Festschrift zum 6. W{\"u}rzburger Wirtschaftssymposium}, organization = {6. W{\"u}rzburger Wirtschaftssymposium 2010}, isbn = {978-3-923959-66-2}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-53329}, year = {2010}, abstract = {Am Montag, den 29. November 2010 fand das 6. W{\"u}rzburger Wirtschaftssymposium unter dem Leitmotiv "Chef, lass uns mal Kultur machen!" statt. Die gemeinn{\"u}tzige Veranstaltung versteht sich seit jeher als Ort der Begegnung und des gemeinsamen Gedankenaustauschs, Studenten und Mitarbeiter aller Fachbereiche nahmen ebenso teil wie interessierte B{\"u}rger außerhalb der W{\"u}rzburger Hochschulen. Die Festschrift enth{\"a}lt Interviews mit sowie Gastbeitr{\"a}ge von Referenten des 6. W{\"u}rzburger Wirtschaftssymposiums. Dar{\"u}ber hinaus greifen Gastbeitr{\"a}ge von Experten aus Wissenschaft, Wirtschaft, Politik und Gesellschaft weitere Facetten auf und stellen das Thema damit auf eine breitere Grundlage.}, subject = {Festschrift}, language = {de} } @article{MergetKoetschanHackletal.2012, author = {Merget, Benjamin and Koetschan, Christian and Hackl, Thomas and F{\"o}rster, Frank and Dandekar, Thomas and M{\"u}ller, Tobias and Schultz, J{\"o}rg and Wolf, Matthias}, title = {The ITS2 Database}, series = {Journal of Visual Expression}, volume = {61}, journal = {Journal of Visual Expression}, number = {e3806}, doi = {10.3791/3806}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-124600}, year = {2012}, abstract = {The internal transcribed spacer 2 (ITS2) has been used as a phylogenetic marker for more than two decades. As ITS2 research mainly focused on the very variable ITS2 sequence, it confined this marker to low-level phylogenetics only. However, the combination of the ITS2 sequence and its highly conserved secondary structure improves the phylogenetic resolution1 and allows phylogenetic inference at multiple taxonomic ranks, including species delimitation. The ITS2 Database presents an exhaustive dataset of internal transcribed spacer 2 sequences from NCBI GenBank accurately reannotated. Following an annotation by profile Hidden Markov Models (HMMs), the secondary structure of each sequence is predicted. First, it is tested whether a minimum energy based fold (direct fold) results in a correct, four helix conformation. If this is not the case, the structure is predicted by homology modeling. In homology modeling, an already known secondary structure is transferred to another ITS2 sequence, whose secondary structure was not able to fold correctly in a direct fold. The ITS2 Database is not only a database for storage and retrieval of ITS2 sequence-structures. It also provides several tools to process your own ITS2 sequences, including annotation, structural prediction, motif detection and BLAST search on the combined sequence-structure information. Moreover, it integrates trimmed versions of 4SALE and ProfDistS for multiple sequence-structure alignment calculation and Neighbor Joining tree reconstruction. Together they form a coherent analysis pipeline from an initial set of sequences to a phylogeny based on sequence and secondary structure. In a nutshell, this workbench simplifies first phylogenetic analyses to only a few mouse-clicks, while additionally providing tools and data for comprehensive large-scale analyses.}, language = {en} } @article{HebestreitZeidlerSchippersetal.2022, author = {Hebestreit, Helge and Zeidler, Cornelia and Schippers, Christopher and de Zwaan, Martina and Deckert, J{\"u}rgen and Heuschmann, Peter and Krauth, Christian and Bullinger, Monika and Berger, Alexandra and Berneburg, Mark and Brandstetter, Lilly and Deibele, Anna and Dieris-Hirche, Jan and Graessner, Holm and G{\"u}ndel, Harald and Herpertz, Stephan and Heuft, Gereon and Lapstich, Anne-Marie and L{\"u}cke, Thomas and Maisch, Tim and Mundlos, Christine and Petermann-Meyer, Andrea and M{\"u}ller, Susanne and Ott, Stephan and Pfister, Lisa and Quitmann, Julia and Romanos, Marcel and Rutsch, Frank and Schaubert, Kristina and Schubert, Katharina and Schulz, J{\"o}rg B. and Schweiger, Susann and T{\"u}scher, Oliver and Ungeth{\"u}m, Kathrin and Wagner, Thomas O. F. and Haas, Kirsten}, title = {Dual guidance structure for evaluation of patients with unclear diagnosis in centers for rare diseases (ZSE-DUO): study protocol for a controlled multi-center cohort study}, series = {Orphanet Journal of Rare Diseases}, volume = {17}, journal = {Orphanet Journal of Rare Diseases}, number = {1}, doi = {10.1186/s13023-022-02176-1}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-300440}, year = {2022}, abstract = {Background In individuals suffering from a rare disease the diagnostic process and the confirmation of a final diagnosis often extends over many years. Factors contributing to delayed diagnosis include health care professionals' limited knowledge of rare diseases and frequent (co-)occurrence of mental disorders that may complicate and delay the diagnostic process. The ZSE-DUO study aims to assess the benefits of a combination of a physician focusing on somatic aspects with a mental health expert working side by side as a tandem in the diagnostic process. Study design This multi-center, prospective controlled study has a two-phase cohort design. Methods Two cohorts of 682 patients each are sequentially recruited from 11 university-based German Centers for Rare Diseases (CRD): the standard care cohort (control, somatic expertise only) and the innovative care cohort (experimental, combined somatic and mental health expertise). Individuals aged 12 years and older presenting with symptoms and signs which are not explained by current diagnoses will be included. Data will be collected prior to the first visit to the CRD's outpatient clinic (T0), at the first visit (T1) and 12 months thereafter (T2). Outcomes Primary outcome is the percentage of patients with one or more confirmed diagnoses covering the symptomatic spectrum presented. Sample size is calculated to detect a 10 percent increase from 30\% in standard care to 40\% in the innovative dual expert cohort. Secondary outcomes are (a) time to diagnosis/diagnoses explaining the symptomatology; (b) proportion of patients successfully referred from CRD to standard care; (c) costs of diagnosis including incremental cost effectiveness ratios; (d) predictive value of screening instruments administered at T0 to identify patients with mental disorders; (e) patients' quality of life and evaluation of care; and f) physicians' satisfaction with the innovative care approach. Conclusions This is the first multi-center study to investigate the effects of a mental health specialist working in tandem with a somatic expert physician in CRDs. If this innovative approach proves successful, it will be made available on a larger scale nationally and promoted internationally. In the best case, ZSE-DUO can significantly shorten the time to diagnosis for a suspected rare disease.}, language = {en} } @article{BreuerMattheisenFranketal.2018, author = {Breuer, Ren{\´e} and Mattheisen, Manuel and Frank, Josef and Krumm, Bertram and Treutlein, Jens and Kassem, Layla and Strohmaier, Jana and Herms, Stefan and M{\"u}hleisen, Thomas W. and Degenhardt, Franziska and Cichon, Sven and N{\"o}then, Markus M. and Karypis, George and Kelsoe, John and Greenwood, Tiffany and Nievergelt, Caroline and Shilling, Paul and Shekhtman, Tatyana and Edenberg, Howard and Craig, David and Szelinger, Szabolcs and Nurnberger, John and Gershon, Elliot and Alliey-Rodriguez, Ney and Zandi, Peter and Goes, Fernando and Schork, Nicholas and Smith, Erin and Koller, Daniel and Zhang, Peng and Badner, Judith and Berrettini, Wade and Bloss, Cinnamon and Byerley, William and Coryell, William and Foroud, Tatiana and Guo, Yirin and Hipolito, Maria and Keating, Brendan and Lawson, William and Liu, Chunyu and Mahon, Pamela and McInnis, Melvin and Murray, Sarah and Nwulia, Evaristus and Potash, James and Rice, John and Scheftner, William and Z{\"o}llner, Sebastian and McMahon, Francis J. and Rietschel, Marcella and Schulze, Thomas G.}, title = {Detecting significant genotype-phenotype association rules in bipolar disorder: market research meets complex genetics}, series = {International Journal of Bipolar Disorders}, volume = {6}, journal = {International Journal of Bipolar Disorders}, doi = {10.1186/s40345-018-0132-x}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-220509}, year = {2018}, abstract = {Background Disentangling the etiology of common, complex diseases is a major challenge in genetic research. For bipolar disorder (BD), several genome-wide association studies (GWAS) have been performed. Similar to other complex disorders, major breakthroughs in explaining the high heritability of BD through GWAS have remained elusive. To overcome this dilemma, genetic research into BD, has embraced a variety of strategies such as the formation of large consortia to increase sample size and sequencing approaches. Here we advocate a complementary approach making use of already existing GWAS data: a novel data mining procedure to identify yet undetected genotype-phenotype relationships. We adapted association rule mining, a data mining technique traditionally used in retail market research, to identify frequent and characteristic genotype patterns showing strong associations to phenotype clusters. We applied this strategy to three independent GWAS datasets from 2835 phenotypically characterized patients with BD. In a discovery step, 20,882 candidate association rules were extracted. Results Two of these rules—one associated with eating disorder and the other with anxiety—remained significant in an independent dataset after robust correction for multiple testing. Both showed considerable effect sizes (odds ratio ~ 3.4 and 3.0, respectively) and support previously reported molecular biological findings. Conclusion Our approach detected novel specific genotype-phenotype relationships in BD that were missed by standard analyses like GWAS. While we developed and applied our method within the context of BD gene discovery, it may facilitate identifying highly specific genotype-phenotype relationships in subsets of genome-wide data sets of other complex phenotype with similar epidemiological properties and challenges to gene discovery efforts.}, language = {en} } @article{KoehlerAdamFussetal.2022, author = {Koehler, Viktoria Florentine and Adam, Pia and Fuss, Carmina Teresa and Jiang, Linmiao and Berg, Elke and Frank-Raue, Karin and Raue, Friedhelm and Hoster, Eva and Kn{\"o}sel, Thomas and Schildhaus, Hans-Ulrich and Negele, Thomas and Siebolts, Udo and Lorenz, Kerstin and Allelein, Stephanie and Schott, Matthias and Spitzweg, Christine and Kroiss, Matthias}, title = {Treatment of RET-positive advanced medullary thyroid cancer with multi-tyrosine kinase inhibitors — a retrospective multi-center registry analysis}, series = {Cancers}, volume = {14}, journal = {Cancers}, number = {14}, issn = {2072-6694}, doi = {10.3390/cancers14143405}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-281776}, year = {2022}, abstract = {Background: RET (rearranged during transfection) variants are the most prevalent oncogenic events in medullary thyroid cancer (MTC). In advanced disease, multi-tyrosine kinase inhibitors (MKIs) cabozantinib and vandetanib are the approved standard treatment irrespective of RET status. The actual outcome of patients with RET-positive MTC treated with MKIs is ill described. Methods: We here retrospectively determined the RET oncogene variant status with a targeted DNA Custom Panel in a prospectively collected cohort of 48 patients with advanced MTC treated with vandetanib and/or cabozantinib at four German referral centers. Progression-free survival (PFS) and overall survival (OS) probabilities were estimated using the Kaplan-Meier method. Results: In total, 44/48 (92\%) patients had germline or somatic RET variants. The M918T variant was found in 29/44 (66\%) cases. In total, 2/32 (6\%) patients with a somatic RET variant had further somatic variants, while in 1/32 (3\%) patient with a germline RET variant, additional variants were found. Only 1/48 (2\%) patient had a pathogenic HRAS variant, and no variants were found in 3 cases. In first-line treatment, the median OS was 53 (95\% CI (95\% confidence interval), 32-NR (not reached); n = 36), and the median PFS was 21 months (12-39; n = 33) in RET-positive MTC patients. In second-line treatment, the median OS was 18 (13-79; n = 22), and the median PFS was 3.5 months (2-14; n = 22) in RET-positive cases. Conclusions: RET variants were highly prevalent in patients with advanced MTC. The treatment results in RET-positive cases were similar to those reported in unselected cohorts.}, language = {en} }