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4 results on '"Bender Tim"'

1. Next-generation phenotyping integrated in a national framework for patients with ultrarare disorders improves genetic diagnostics and yields new molecular findings

Author

Schmidt, Axel, Danyel, Magdalena, Grundmann, Kathrin, Brunet, Theresa, Klinkhammer, Hannah, Hsieh, Tzung-Chien, Engels, Hartmut, Peters, Sophia, Knaus, Alexej, Moosa, Shahida, Averdunk, Luisa, Boschann, Felix, Sczakiel, Henrike Lisa, Schwartzmann, Sarina, Mensah, Martin Atta, Pantel, Jean Tori, Holtgrewe, Manuel, Bösch, Annemarie, Weiß, Claudia, Weinhold, Natalie, Suter, Aude-Annick, Stoltenburg, Corinna, Neugebauer, Julia, Kallinich, Tillmann, Kaindl, Angela M., Holzhauer, Susanne, Bührer, Christoph, Bufler, Philip, Kornak, Uwe, Ott, Claus-Eric, Schülke, Markus, Nguyen, Hoa Huu Phuc, Hoffjan, Sabine, Grasemann, Corinna, Rothoeft, Tobias, Brinkmann, Folke, Matar, Nora, Sivalingam, Sugirthan, Perne, Claudia, Mangold, Elisabeth, Kreiss, Martina, Cremer, Kirsten, Betz, Regina C., Mücke, Martin, Grigull, Lorenz, Klockgether, Thomas, Spier, Isabel, Heimbach, André, Bender, Tim, Brand, Fabian, Stieber, Christiane, Morawiec, Alexandra Marzena, Karakostas, Pantelis, Schäfer, Valentin S., Bernsen, Sarah, Weydt, Patrick, Castro-Gomez, Sergio, Aziz, Ahmad, Grobe-Einsler, Marcus, Kimmich, Okka, Kobeleva, Xenia, Önder, Demet, Lesmann, Hellen, Kumar, Sheetal, Tacik, Pawel, Basin, Meghna Ahuja, Incardona, Pietro, Lee-Kirsch, Min Ae, Berner, Reinhard, Schuetz, Catharina, Körholz, Julia, Kretschmer, Tanita, Di Donato, Nataliya, Schröck, Evelin, Heinen, André, Reuner, Ulrike, Hanßke, Amalia-Mihaela, Kaiser, Frank J., Manka, Eva, Munteanu, Martin, Kuechler, Alma, Cordula, Kiewert, Hirtz, Raphael, Schlapakow, Elena, Schlein, Christian, Lisfeld, Jasmin, Kubisch, Christian, Herget, Theresia, Hempel, Maja, Weiler-Normann, Christina, Ullrich, Kurt, Schramm, Christoph, Rudolph, Cornelia, Rillig, Franziska, Groffmann, Maximilian, Muntau, Ania, Tibelius, Alexandra, Schwaibold, Eva M. C., Schaaf, Christian P., Zawada, Michal, Kaufmann, Lilian, Hinderhofer, Katrin, Okun, Pamela M., Kotzaeridou, Urania, Hoffmann, Georg F., Choukair, Daniela, Bettendorf, Markus, Spielmann, Malte, Ripke, Annekatrin, Pauly, Martje, Münchau, Alexander, Lohmann, Katja, Hüning, Irina, Hanker, Britta, Bäumer, Tobias, Herzog, Rebecca, Hellenbroich, Yorck, Westphal, Dominik S., Strom, Tim, Kovacs, Reka, Riedhammer, Korbinian M., Mayerhanser, Katharina, Graf, Elisabeth, Brugger, Melanie, Hoefele, Julia, Oexle, Konrad, Mirza-Schreiber, Nazanin, Berutti, Riccardo, Schatz, Ulrich, Krenn, Martin, Makowski, Christine, Weigand, Heike, Schröder, Sebastian, Rohlfs, Meino, Vill, Katharina, Hauck, Fabian, Borggraefe, Ingo, Müller-Felber, Wolfgang, Kurth, Ingo, Elbracht, Miriam, Knopp, Cordula, Begemann, Matthias, Kraft, Florian, Lemke, Johannes R., Hentschel, Julia, Platzer, Konrad, Strehlow, Vincent, Abou Jamra, Rami, Kehrer, Martin, Demidov, German, Beck-Wödl, Stefanie, Graessner, Holm, Sturm, Marc, Zeltner, Lena, Schöls, Ludger J., Magg, Janine, Bevot, Andrea, Kehrer, Christiane, Kaiser, Nadja, Turro, Ernest, Horn, Denise, Grüters-Kieslich, Annette, Klein, Christoph, Mundlos, Stefan, Nöthen, Markus, Riess, Olaf, Meitinger, Thomas, Krude, Heiko, Krawitz, Peter M., Haack, Tobias, Ehmke, Nadja, and Wagner, Matias

Abstract

Individuals with ultrarare disorders pose a structural challenge for healthcare systems since expert clinical knowledge is required to establish diagnoses. In TRANSLATE NAMSE, a 3-year prospective study, we evaluated a novel diagnostic concept based on multidisciplinary expertise in Germany. Here we present the systematic investigation of the phenotypic and molecular genetic data of 1,577 patients who had undergone exome sequencing and were partially analyzed with next-generation phenotyping approaches. Molecular genetic diagnoses were established in 32% of the patients totaling 370 distinct molecular genetic causes, most with prevalence below 1:50,000. During the diagnostic process, 34 novel and 23 candidate genotype–phenotype associations were identified, mainly in individuals with neurodevelopmental disorders. Sequencing data of the subcohort that consented to computer-assisted analysis of their facial images with GestaltMatcher could be prioritized more efficiently compared with approaches based solely on clinical features and molecular scores. Our study demonstrates the synergy of using next-generation sequencing and phenotyping for diagnosing ultrarare diseases in routine healthcare and discovering novel etiologies by multidisciplinary teams.

Published
2024
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3. GestaltMatcher facilitates rare disease matching using facial phenotype descriptors

Author

Hsieh, Tzung-Chien, Bar-Haim, Aviram, Moosa, Shahida, Ehmke, Nadja, Gripp, Karen W., Pantel, Jean Tori, Danyel, Magdalena, Mensah, Martin Atta, Horn, Denise, Rosnev, Stanislav, Fleischer, Nicole, Bonini, Guilherme, Hustinx, Alexander, Schmid, Alexander, Knaus, Alexej, Javanmardi, Behnam, Klinkhammer, Hannah, Lesmann, Hellen, Sivalingam, Sugirthan, Kamphans, Tom, Meiswinkel, Wolfgang, Ebstein, Frédéric, Krüger, Elke, Küry, Sébastien, Bézieau, Stéphane, Schmidt, Axel, Peters, Sophia, Engels, Hartmut, Mangold, Elisabeth, Kreiß, Martina, Cremer, Kirsten, Perne, Claudia, Betz, Regina C., Bender, Tim, Grundmann-Hauser, Kathrin, Haack, Tobias B., Wagner, Matias, Brunet, Theresa, Bentzen, Heidi Beate, Averdunk, Luisa, Coetzer, Kimberly Christine, Lyon, Gholson J., Spielmann, Malte, Schaaf, Christian P., Mundlos, Stefan, Nöthen, Markus M., and Krawitz, Peter M.

Abstract

Many monogenic disorders cause a characteristic facial morphology. Artificial intelligence can support physicians in recognizing these patterns by associating facial phenotypes with the underlying syndrome through training on thousands of patient photographs. However, this ‘supervised’ approach means that diagnoses are only possible if the disorder was part of the training set. To improve recognition of ultra-rare disorders, we developed GestaltMatcher, an encoder for portraits that is based on a deep convolutional neural network. Photographs of 17,560 patients with 1,115 rare disorders were used to define a Clinical Face Phenotype Space, in which distances between cases define syndromic similarity. Here we show that patients can be matched to others with the same molecular diagnosis even when the disorder was not included in the training set. Together with mutation data, GestaltMatcher could not only accelerate the clinical diagnosis of patients with ultra-rare disorders and facial dysmorphism but also enable the delineation of new phenotypes.

Published
2022
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4. Letters to the Editor.

Author

Bender, Tim, Tuck, Dale, and Herrington, Valery

Subjects
LETTERS to the editor, LOANS, LEGISLATIVE bodies, BUILDING permits
Abstract

Several letters to the editor are presented in response to articles in previous issues including "Network's High-Energy Members Lead to Jump in Business Activity" in the January 11, 2010 issue, "SBA Resumes Enhancements to Loan Guarantees" in the December 28, 2009 issue, and a comment regarding the New Jersey Legislature that extends the expiration date of certain building permits.

Published
2010

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