Prof. Dr. Martin Dugas

Prof. Dr. Martin Dugas

Albert-Schweitzer-Campus 1
48149 Münster

  • Forschungsschwerpunkte

    • Informatik in der klinischen und translationalen Forschung
    • Single-Source-Informationssysteme
    • Integrierte Analyse von molekularen und klinischen Daten

  • Weitere Zugehörigkeit an der Universität Münster

  • Vita

    Akademische Ausbildung

    Weiterbildungsbefugnis für Medizinische Informatik der Ärztekammer Westfalen-Lippe
    Zertifikat Biometrie der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie
    Habilitation, Erlangung der Venia legendi für Medizinische Informatik an der Ludwig-Maximilians-Universität München, Habilitationsthema: "Die Analyse der Datenqualität und -komplexität in Medizinischen Datenbanken"
    Zertifikat Medizinische Informatik der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie
    Studium der Informatik an der FU Hagen
    Diplom in Informatik
    Approbation als Arzt
    Promotion zum Dr. med. an der TU München, Dissertationsthema: "Entwicklung einer computergestützten Ganzzell- und Einzelkanal-Analyse"
    Studium der Humanmedizin an der Technischen Universität München mit Auslandsaufenthalten in Zürich, London und Montpellier

    Beruflicher Werdegang

    Managing Director of the Department of Medical Informatics and Biomathematics at the University of Münster
    Mitglied der IV-Kommission an der Westfälischen Wilhelms-Universität Münster
    Leiter der Abteilung Klinische Systeme des Universitätsklinikums Münster (UKM)
    Professor für Medizinische Informatik am Institut für Medizinische Informatik und Biomathematik der Westfälischen Wilhelms-Universität Münster
    Mitarbeiter im Bereich Industrieforschung für Krankenhausinformationssysteme bei Siemens Medical Health Services, USA
    Wissenschaftlicher Mitarbeiter am Institut für Medizinische Informatik, Biometrie und Epidemiologie der Ludwig-Maximilians-Universität München
    IT-Beauftragter der Munich-Harvard Alliance for Medical Education der Ludwig-Maximilians-Universität München

    Preise

    Best Poster Award – Dachverband Reproduktionsbiologie und –medizin (DVR)

    Mitgliedschaften und Aktivitäten in Gremien

    Mitglied im Gutachtergremium im Bereich "eHealth" für die Europäischen Kommission
    Mitglied der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS)

  • Projekte

    • PRUSEARCH – FOR 2690: Translationale Pruritusforschung - TP Zentrale Informationsinfrastruktur, Zentralisierte Biomaterial und Machine Learning Analysen ( – )
      Teilprojekt in DFG-Verbund koordiniert außerhalb der Universität Münster: DFG - Forschungsgruppe | Förderkennzeichen: DU 352/15-2
    • SOLKID-GNR – Die Sicherheit des Lebendnierenspenders - das deutsche nationale Register (Realisierungsphase) ( – )
      participations in bmbf-joint project: Bundesministerium für Bildung und Forschung | Förderkennzeichen: 01GY1906
    • HiGHmed – Medizininformatik-Initiative Deutschland - Teilprojekt Münster ( – )
      participations in bmbf-joint project: Bundesministerium für Bildung und Forschung | Förderkennzeichen: 01ZZ1802V
    • PRUSEARCH – FOR 2690: Translationale Pruritusforschung - TP: Zentrale Informationsinfrastruktur, Bioinformatik und Physische Biomaterial Bank ( – )
      Teilprojekt in DFG-Verbund koordiniert außerhalb der Universität Münster: DFG - Forschungsgruppe | Förderkennzeichen: BR 5841/1-1
    • CODEX – COVID-19 Data Exchange Platform ( – )
      participations in bmbf-joint project: Bundesministerium für Bildung und Forschung | Förderkennzeichen: 01KX2021
    • COMPASS – Coordination on mobile pandemic apps best practice and solution sharing ( – )
      participations in bmbf-joint project: Bundesministerium für Bildung und Forschung | Förderkennzeichen: 01KX2021
    • Reproduction – from Genes to Molecules and Function ( – )
      Durch die Universität Münster intern gefördertes Projekt: Universität Münster-interne Förderung - Topical Programs
    • Smart Device System für Bewegungsstörungen ( – )
      Durch die Universität Münster intern gefördertes Projekt: Innovative Medizinische Forschung | Förderkennzeichen: VA 111809
    • MDM-Portal – Portal für Medizinische Datenmodelle ( – )
      Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: DU 352/11-2
    • Infektionsbedingte Mutationsprofile in pB-ALL ( – )
      Gefördertes Einzelprojekt: Deutsche Kinderkrebsstiftung e.V. | Förderkennzeichen: DKS 2016.17
    • KFO 326 - Male Germ Cells: from Genes to Function - CP: Koordination und integrierte Analyse von OMICs-Daten ( – )
      Teilprojekt in DFG-Verbund koordiniert an der Universität Münster: DFG - Klinische Forschungsgruppe | Förderkennzeichen: TU 298/5-1
    • Epigenetische Basis der Plastizitätseigenschaften und Therapieresistenz von T-Linien-abgeleiteten myeloischen Leukämiestammzellen ( – )
      Gefördertes Einzelprojekt: Deutsche Krebshilfe e.V. | Förderkennzeichen: 70112660
    • MDS-RIGHT – Providing the right care to the right patient with MyeloDysplastic Syndrome at the right time ( – )
      EU-Projekt koordiniert außerhalb der Universität Münster: EU H2020 - Research and innovation actions | Förderkennzeichen: 634789
    • PPRC – European Prurigo Project ( – )
      Gefördertes Einzelprojekt: European Academy of Dermatology and Venereology | Förderkennzeichen: 2016012
    • PTPR – Molekulare Charakterisierung von papillären Tumoren der Pinealisregion ( – )
      Durch die Universität Münster intern gefördertes Projekt: Innovative Medizinische Forschung | Förderkennzeichen: TH 111807
    • T.I.M.E. – Telemedizinische Information bei Medizinischen Notfällen ( – )
      EU-Projekt koordiniert an der Universität Münster: EU - Europäischer Fonds für regionale Entwicklung | Förderkennzeichen: EFRE-0800196
    • Erwerbstätigkeit und Lebensqualität bei Patienten mit malignem Melanom ( – )
      Gefördertes Einzelprojekt: Deutsche Rentenversicherung Westfalen | Förderkennzeichen: 622-4012
    • Molekulargenetische Charakterisierung von lymphoblastischen T-Zell Lymphomen im Kindes- und Jugendalter ( – )
      Gefördertes Einzelprojekt: Deutsche Krebshilfe e.V. | Förderkennzeichen: 111347
    • SOLKID-GNR – Die Sicherheit des Lebendspenders - Das Deutsche Nationale Lebendspende Register - Konzeptentwicklung ( – )
      Gefördertes Einzelprojekt: Bundesministerium für Bildung und Forschung | Förderkennzeichen: 01GY1725
    • MDM-Portal – Portal für Medizinische Datenmodelle ( – )
      Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: DU 352/11-1
    • PruNet – European Network on Asessment of Severity and Burden of Pruritus ( – )
      Gefördertes Einzelprojekt: European Academy of Dermatology and Venereology | Förderkennzeichen: 2014-022
    • Role of the three-dimensional chromatin structure in expression control of the tumor suppressor gene PU.1 ( – )
      Durch die Universität Münster intern gefördertes Projekt: Interdisziplinäres Zentrum für Klinische Forschung Münster | Förderkennzeichen: Ros2/007/15
    • TRIAGE-MDS – TRIAGE-MDS: Translationale Implementierung von Genetischer Evidenz beim Management von MDS ( – )
      Gefördertes Einzelprojekt: Bundesministerium für Bildung und Forschung | Förderkennzeichen: 01KT1401
    • ADMIRE – AgenDa Medical Informatics for healthcare, Research & Education ( – )
      participations in bmbf-joint project: Bundesministerium für Bildung und Forschung | Förderkennzeichen: 01ZZ1602B
    • x4T-EDC – x4T-EDC (Exchange for Trials) (seit )
      Eigenmittelprojekt
    • Verbesserung der Diagnostik von Tumorerkrankungen durch neue DNA-Sequenzierverfahren und Algorithmen ( – )
      Gefördertes Einzelprojekt: Deutsche Krebshilfe e.V. | Förderkennzeichen: 110807; 110495
    • Eine Phase-II-Studie zur Erfassung der Effektivität einer Therapie mit ATRA und TCP bei Patienten mit Erstdiagnose einer akuten myeloischen Leukämie ( – )
      Gefördertes Einzelprojekt: Deutsche Krebshilfe e.V. | Förderkennzeichen: 110500
    • NFDM-Sprint Forschungsprojekt zur Einführung der Fachanwendung Notfalldaten-Management (NFDM) der elektronischen Gesundheitskarte (eGK). ( – )
      Eigenmittelprojekt
    • MA-RIKA – Medizinisches Akutkrankenhaus. Rettungsdienst Informations- und Kommunikationssystem für akute Notfälle im Alter ( – )
      Gefördertes Einzelprojekt: Ministerium für Arbeit, Gesundheit und Soziales des Landes Nordrhein-Westfalen | Förderkennzeichen: 005-GW03-114A
    • FOR 1336 - Von Monozyten bis zu Hirnmakrophagen -Einflüsse auf die Eigenschaften myeloider Zellen im Gehirn - A3: Rolle des Transkriptionsfaktors PU.1 für die Differenzierung und Funktion peripherer Makrophagen ( – )
      Teilprojekt in DFG-Verbund koordiniert außerhalb der Universität Münster: DFG - Forschungsgruppe | Förderkennzeichen: RO 2295/4-2
    • SHT-Register – Klinisches Register für Patientinnen und Patienten mit Schädelhirntrauma ( – )
      EU-Projekt koordiniert an der Universität Münster: EU - Europäischer Fonds für regionale Entwicklung | Förderkennzeichen: 005-GW02-024
    • EHR4CR – Elektronische Patientenakten-Systeme für die klinische Forschung ( – )
      EU-Projekt koordiniert außerhalb der Universität Münster: IMI Innovative Medicines Initiative
    • Identifizierung molekulargenetischer Prognosefaktoren bei TEL/AML1+ akuter lymphoblastischer Leukämie des Kindesalters ( – )
      Gefördertes Einzelprojekt: Deutsche Kinderkrebsstiftung e.V. | Förderkennzeichen: DKS2010.21
    • MoPat – MoPat (Mobile Patientenfragebögen) (seit )
      Eigenmittelprojekt
    • EuGESMA – European Genomics and Epigenomics - Translating Genomic and epigenetic Studies of MDS and AML ( – )
      EU-Projekt koordiniert außerhalb der Universität Münster: EU - COST Actions | Förderkennzeichen: BM0801
    • Integrierte klinische Informationssysteme nach dem Single-Source-Konzept ( – )
      Gefördertes Einzelprojekt: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: DU 352/5-1
    • Telematische Unterstützung der Schwerverletztenversorgung ( – )
      participations in bmbf-joint project: Bundesministerium für Bildung und Forschung | Förderkennzeichen: 005-GW01-128A
    • Leukemia Gene Atlas - ein integriertes System für molekulare und klinische Daten zur Unterstützung der translationalen Leukämieforschung ( – )
      Gefördertes Einzelprojekt: José Carreras Leukämie-Stiftung | Förderkennzeichen: DJCLS H 09/04
    • Verbund: KIS-basierte Unterstützung der Patientenrekrutierung in klinischen Studien - Teilprojekt der Uni Münster ( – )
      participations in bmbf-joint project: Bundesministerium für Bildung und Forschung | Förderkennzeichen: 01EZ0941A
    • EUROPEAN LEUKEMIANET – Strengthen and develop scientific and technological excellence in research and therapy of leukemia (CML, AML, ALL, CLL, MDS, CMPD) by integration of the leading national leukemia networks and their interdisciplinary partner groups in Europe ( – )
      EU-Projekt koordiniert außerhalb der Universität Münster: EU FP 6 - Networks of Excellence | Förderkennzeichen: 503216

  • Publikationen

    • Efficace F; Koinig K; Cottone F; Bowen D; Mittelman M; Sommer K; Langemeijer S; Culligan D; Filanovsky K; Storck M; Smith A; van Marrewijk C; Dugas M; Stojkov I; Siebert U; Witte T; Stauder R. . ‘Raising the standards of patient-centered outcomes research in myelodysplastic syndromes: Clinical utility and validation of the subscales of the QUALMS from the MDS-RIGHT project.’ Cancer medicine 12, Nr. 6: 7529–7539. doi: 10.1002/cam4.5487.
    • Efficace F; Koinig K; Cottone F; Bowen D; Mittelman M; Sommer K; Langemeijer S; Culligan D; Filanovsky K; Storck M; Smith A; van Marrewijk C; Dugas M; Stojkov I; Siebert U; Stauder R; de Witte T. . ‘Raising the standards of patient-centered outcomes research in myelodysplastic syndromes: Clinical utility and validation of the subscales of the QUALMS from the MDS-RIGHT project.’ Cancer medicine 12, Nr. 6: 7529–7539. doi: 10.1002/cam4.5487.
    • Agelopoulos K, Renkhold L, Wiegmann H, Dugas M, Süer A, Zeidler C, Schmelz M, Pereira MP, Ständer S. . ‘Transcriptomic, Epigenomic, and Neuroanatomic Signatures Differ in Chronic Prurigo, Atopic Dermatitis, and Brachioradial Pruritus.’ Journal of Investigative Dermatology 143, Nr. 2: 264–272.e3. doi: 10.1016/j.jid.2022.08.042.
    • Dehghan Nayyeri, M; Missler, M; Ritterbach, R; Sundermann, B; Wulms, N; Süer, A; Dugas, M; Pereira MP; Ständer, S; Schmelz, M; Pfleiderer, B. . ‘Altered resting‐state functional connectivity of default mode network in brachioradial pruritus.’ Journal of the European Academy of Dermatology and Venereology 2022, Nr. 11: 2214–2223. doi: 10.1111/jdv.18411.
    • Graf M, Interlandi M, Moreno N, Holdhof D, Göbel C, Melcher V, Mertins J, Albert TK, Kastrati D, Alfert A, Holsten T, de Faria F, Meisterernst M, Rossig C, Warmuth-Metz M, Meyer Zu Hörste G, Nowak J, Nef S, Mayère C, Frühwald MC, Johann P, Schüller U, Dugas M, Kerl K. . ‘Single-cell transcriptomics identifies potential cells of origin of MYC rhabdoid tumors.’ Nature Communications 13, Nr. 1: 1544. doi: 10.1038/s41467-022-29152-4.
    • Schubert, Maria; Pérez Lanuza, Lina; Wöste, Marius; Dugas, Martin; Carmona, F David; Palomino-Morales, Rogelio J; Rassam, Yousif; Heilmann-Heimbach, Stefanie; Tüttelmann, Frank; Kliesch, Sabine; Gromoll, Jörg. . ‘A GWAS in idiopathic/unexplained infertile men detects a genomic region determining Follicle-stimulating hormone levels.’ Journal of Clinical Endocrinology and Metabolism 107, Nr. 8: 2350–2361. doi: 10.1210/clinem/dgac165.
    • Süer A., Riepenhausen S., Storck M., Greulich L., Zeidler C., Ständer S., Dugas M. . ‘ODM-DQA-Reporter: A Generic Approach to Assess and Monitor Basic Data Quality of Medical Research Data in Operational Data Model (ODM) Format.’ Studies in Health Technology and Informatics 290: 983–984. doi: 10.3233/SHTI220229.
    • Dannlowski U.; Goltermann J.; Varghese J.; Baune B.T.; Lencer R.; Dugas M.; Opel N.; Herpertz J.; Richter M.F.; Barkhau C.; Storck M.; Blitz R.; Steinmann L.A. . ‘Symptom monitoring based on digital data collection during inpatient treatment of schizophrenia spectrum disorders – A feasibility study.’ Psychiatry Research 316. doi: 10.1016/j.psychres.2022.114773.
    • Wallmeier J.; Keßler C.; Pennekamp P.; Dworniczak B.; Werner C.; Dugas M.; Omran H.; Raidt J.; Krenz H.; Tebbe J.; Große-Onnebrink J.; Olbrich H.; Loges N.T.; Biebach L.; Schmalstieg C. . ‘Limitations of Nasal Nitric Oxide Measurement for Diagnosis of Primary Ciliary Dyskinesia with Normal Ultrastructure.’ Annals of the American Thoracic Society 19, Nr. 8: 1275–1284. doi: 10.1513/AnnalsATS.202106-728OC.
    • Graf M; Interlandi M; Moreno N; Roy R; Holdhof D; Goebel C; Melcher V; Mertins J; Albert TK; Kastrati D; Alfert A; Holsten T; Faria F; Meisterernst M; Rossig C; Warmuth-Metz M; Nowak J; Hoerste GM; Mayere C; Nef S; Johann P; Fruehwald MC; Dugas M; Schueller U; Kerl K. . ‘PRIMORDIAL GERM CELLS IDENTIFIED AS ONE POTENTIAL CELL OF ORIGIN OF MYC RHABDOID TUMORS.’ Neuro-Oncology 24 Suppl 1: 6. doi: 10.1093/neuonc/noac079.014.
    • Interlandi M; Kerl K; Dugas M. . ‘InterCellar enables interactive analysis and exploration of cell-cell communication in single-cell transcriptomic data.’ Communications biology 5, Nr. 1: 21. doi: 10.1038/s42003-021-02986-2.
    • Luecken MD; Büttner M; Chaichoompu K; Danese A; Interlandi M; Mueller MF; Strobl DC; Zappia L; Dugas M; Colomé-Tatché M; Theis FJ. . ‘Benchmarking atlas-level data integration in single-cell genomics.’ Nature Methods 19, Nr. 1: 41–50. doi: 10.1038/s41592-021-01336-8.
    • Raidt J; Krenz H; Tebbe J; Große-Onnebrink J; Olbrich H; Loges NT; Biebach L; Schmalstieg C; Keßler C; Wallmeier J; Dworniczak B; Pennekamp P; Dugas M; Werner C; Omran H. . ‘Limitations of Nasal Nitric Oxide Measurement for Diagnosis of Primary Ciliary Dyskinesia with Normal Ultrastructure.’ Annals of the American Thoracic Society 19, Nr. 8: 1275–1284. doi: 10.1513/AnnalsATS.202106-728OC.
    • Ruether C; Wuensch C; Randau G; Michgehl U; Trautmann M; Hartmann W; Sandmann S; Dugas M; Khanam T; Burkhardt B. . ‘Design of a targeted next-generation DNA sequencing panel for pediatric T-cell lymphoblastic lymphoma to unravel biology and optimize treatment.’ Genes, Chromosomes and Cancer 61, Nr. 8: 459–470. doi: 10.1002/gcc.23037.
    • Herpertz J; Richter MF; Barkhau C; Storck M; Blitz R; Steinmann LA; Goltermann J; Dannlowski U; Baune BT; Varghese J; Dugas M; Lencer R; Opel N. . ‘Symptom monitoring based on digital data collection during inpatient treatment of schizophrenia spectrum disorders - A feasibility study.’ Psychiatry Research 316: 114773. doi: 10.1016/j.psychres.2022.114773.
    • Renkhold L; Pereira MP; Wiegmann H; Zeidler C; Schmitz G; Tekath T; Varghese J; Dugas M; Staender S; Agelopoulos K. . ‘Chronic pruritus patients reveal distinct expression signatures in chronically scratched skin.’ Experimental Dermatology 31, Nr. 2: E87–E88.
    • Rafee A; Riepenhausen S; Neuhaus P; Meidt A; Dugas M; Varghese J. . ‘ELaPro, a LOINC-mapped core dataset for top laboratory procedures of eligibility screening for clinical trials.’ BMC Medical Research Methodology 22, Nr. 1: 141. doi: 10.1186/s12874-022-01611-y.
    • Schedel A; Friedrich UA; Morcos MNF; Wagener R; Mehtonen J; Watrin T; Saitta C; Brozou T; Michler P; Walter C; Försti A; Baksi A; Menzel M; Horak P; Paramasivam N; Fazio G; Autry RJ; Fröhling S; Suttorp M; Gertzen C; Gohlke H; Bhatia S; Wadt K; Schmiegelow K; Dugas M; Richter D; Glimm H; Heinäniemi M; Jessberger R; Cazzaniga G; Borkhardt A; Hauer J; Auer F. . ‘Recurrent Germline Variant in RAD21 Predisposes Children to Lymphoblastic Leukemia or Lymphoma.’ International Journal of Molecular Sciences (IJMS) 23, Nr. 9. doi: 10.3390/ijms23095174.
    • Helal Mohammed Mohammed Ahmed 1, Subbaiah Chary Nimmagadda 1, Yahya S Al-Matary 1 2, Maren Fiori 1 2, Tobias May 3, Daria Frank 1 2, Pradeep Kumar Patnana 1 2, Christian Récher 4, Christoph Schliemann 1, Jan-Henrik Mikesch 1, Thorsten Koenig 5, Frank Rosenbauer 5, Wolfgang Hartmann 6, Jan Tuckermann 7, Ulrich Dührsen 2, Wei Lanying 1 8, Martin Dugas 8 9, Bertram Opalka 2, Georg Lenz 1, Cyrus Khandanpour 1. . ‘Dexamethasone-mediated inhibition of Notch signalling blocks the interaction of leukaemia and mesenchymal stromal cells.’ British Journal of Haematology 196, Nr. 4: 995–1006. doi: 10.1111/bjh.17940.
    • Di Persio, Sara; Tekath, Tobias; Siebert-Kuss, Lara Marie; Cremers, Jann-Frederik; Wistuba, Joachim; Li, Xiaolin; Meyer Zu Hörste, Gerd; Drexler, Hannes C A; Wyrwoll, Margot J; Tüttelmann, Frank; Dugas, Martin; Kliesch, Sabine; Schlatt, Stefan; Laurentino, Sandra; Neuhaus, Nina. . ‘Single-cell RNA-seq unravels alterations of the human spermatogonial stem cell compartment in patients with impaired spermatogenesis.’ Cell Reports Medicine 2, Nr. 9. doi: 10.1016/j.xcrm.2021.100395.
    • Albert TK, Interlandi M, Sill M, Graf M, Moreno N, Menck K, Rohlmann A, Melcher V, Korbanka S, Meyer Zu Hörste G, Lautwein T, Frühwald MC, Krebs CF, Holdhof D, Schoof M, Missler M, Bleckmann A, Schüller U, Dugas M, Pfister SM, Jäger N, Kerl K. . ‘An extracellular vesicle-related gene expression signature identifies high-risk patients in medulloblastoma.’ Neuro-Oncology 23, Nr. 4: 586–598. doi: 10.1093/neuonc/noaa254.
    • Dugas M, Grote-Westrick T, Merle U, Fontenay M, Kremer AE, Hanses F, Vollenberg R, Lorentzen E, Tiwari-Heckler S, Duchemin J, Ellouze S, Vetter M, Fürst J, Schuster P, Brix T, Denkinger CM, Müller-Tidow C, Schmidt H, Tepasse PR, Kühn J. . ‘Lack of antibodies against seasonal coronavirus OC43 nucleocapsid protein identifies patients at risk of critical COVID-19.’ Journal of Clinical Virology 139. doi: 10.1016/j.jcv.2021.104847.
    • Preciado-Marquez D, Becker L, Storck M, Greulich L, Dugas M, Brix TJ. . ‘MainzelHandler: A Library for a Simple Integration and Usage of the Mainzelliste.’ In Public Health and Informatics, edited by Mantas John, Stoicu-Tivadar Lăcrămioara, Chronaki Catherine, Hasman Arie, Weber Patrick, Gallos Parisis, Crişan-Vida Mihaela, Zoulias Emmanouil, Chirila Oana Sorina, 233–237. online: IOP Publishing. doi: 10.3233/SHTI210155.
    • Dugas M, Grote-Westrick T, Vollenberg R, Lorentzen E, Brix T, Schmidt H, Tepasse PR, Kühn J. . ‘Less severe course of COVID-19 is associated with elevated levels of antibodies against seasonal human coronaviruses OC43 and HKU1 (HCoV OC43, HCoV HKU1).’ International Journal of Infectious Diseases 105: 304–306. doi: 10.1016/j.ijid.2021.02.085.
    • Zeidler C, Pereira MP, Dugas M, Augustin M, Storck M, Weyer-Elberich V, Schneider G, Ständer S. . ‘The burden in chronic prurigo: patients with chronic prurigo suffer more than patients with chronic pruritus on non-lesional skin: A comparative, retrospective, explorative statistical analysis of 4,484 patients in a real-world cohort.’ Journal of the European Academy of Dermatology and Venereology 35, Nr. 3. doi: 10.1111/jdv.16929.
    • Storck M, Sandmann S, Bruland P, Pereira MP, Steinke S, Riepe C, Soto-Rey I, Garcovich S, Augustin M, Blome C, Bobko S, Legat FJ, Potekaev N, Lvov A, Misery L, Weger W, Reich A, Savk E, Streit M, Serra-Baldrich E, Szepietowski JC, Dugas M, Ständer S, Zeidler C. . ‘Pruritus Intensity Scales across Europe: a prospective validation study.’ Journal of the European Academy of Dermatology and Venereology 35, Nr. 5: 1176–1185. doi: 10.1111/jdv.17111.
    • Horsthemke B., Neuhaus N., Di Persio S., Leitão E., Wöste M., Tekath T., Cremers J.F., Dugas M., Li X., zu Hörste G.M., Kliesch S., Laurentino S. . ‘Whole-genome methylation analysis of testicular germ cells from cryptozoospermic men points to recurrent and functionally relevant DNA methylation changes.’ Clinical Epigenetics 13, Nr. 1. doi: 10.1186/s13148-021-01144-z.
    • Greulich L.; Brix T.J.; Storck M.; Dugas M. . ‘A seamless pseudonymization and randomization workflow for REDCap.’ In Public Health and Informatics: Proceedings of MIE 2021, edited by Mantas, J.; Stoicu-Tivadar, L.; Chronaki, C.; Hasman, A.; Weber, P.; Gallos, P.; Crișan – Vida, M.; Zoulias, E.; Chirila, O.S., 952–956. Niederlande: IOS Press. doi: 10.3233/SHTI210319.
    • Linder A; Bothe V; Linder N; Schwarzlmueller P; Dahlström F; Bartenhagen C; Dugas M; Pandey D; Thorn-Seshold J; Boehmer DFR; Koenig LM; Kobold S; Schnurr M; Raedler J; Spielmann G; Karimzadeh H; Schmidt A; Endres S; Rothenfusser S. . ‘Defective Interfering Genomes and the Full-Length Viral Genome Trigger RIG-I After Infection With Vesicular Stomatitis Virus in a Replication Dependent Manner.’ Frontiers in immunology 12: 595390. doi: 10.3389/fimmu.2021.595390.
    • Sansone A; Kliesch S; Dugas M; Sandhowe-Klaverkamp R; Isidori AM; Schlatt S; Zitzmann M. . ‘Serum concentrations of dihydrotestosterone are associated with symptoms of hypogonadism in biochemically eugonadal men.’ Journal of Endocrinological Investigation 44, Nr. 11: 2465–2474. doi: 10.1007/s40618-021-01561-0.
    • Suwelack B; Dugas M; Koch M; Sommerer C; Urban M; Ger{ß} J; Wegner J; Burgmer M. . „Die Sicherheit des Lebendnierenspenders -- Das Deutsche Lebendspende Register SOLKID-GNR -- Entstehung und Struktur eines nationalen Registers in der Versorgungsforschung.“ Gesundheitswesen, Supplement 83, Nr. S 01: S33–S38. doi: 10.1055/a-1547-7114.
    • Wagener R; Taeubner J; Walter C; Yasin L; Alzoubi D; Bartenhagen C; Attarbaschi A; Classen C; Kontny U; Hauer J; Fischer U; Dugas M; Kuhlen M; Borkhardt A; Brozou T. . ‘Comprehensive germline-genomic and clinical profiling in 160 unselected children and adolescents with cancer.’ European Journal of Human Genetics 29, Nr. 8: 1301–1311. doi: 10.1038/s41431-021-00878-x.
    • Zeidler C; Dugas M; Augustin M; Staender S. . ‘Reliable Measurement of chronic Pruritus in Routine clinical Practice.’ Journal der Deutschen Dermatologischen Gesellschaft 19, Nr. Suppl 2: 107.
    • Greulich L; Brix TJ; Storck M; Dugas M. . ‘A Seamless Pseudonymization and Randomization Workflow for REDCap.’ Studies in Health Technology and Informatics 281: 952–956. doi: 10.3233/SHTI210319.
    • Greulich L; Hegselmann S; Dugas M. . ‘An Open-Source, Standard-Compliant, and Mobile Electronic Data Capture System for Medical Research (OpenEDC): Design and Evaluation Study.’ JMIR medical informatics 9, Nr. 11: e29176. doi: 10.2196/29176.
    • Hegselmann S; Storck M; Gessner S; Neuhaus P; Varghese J; Bruland P; Meidt A; Mertens C; Riepenhausen S; Baier S; Stöcker B; Henke J; Schmidt CO; Dugas M. . ‘Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse.’ BMC Medical Informatics and Decision Making 21, Nr. 1: 160. doi: 10.1186/s12911-021-01524-8.
    • Meidt A; Riepenhausen S; Neuhaus P; Hegselmann S; Rafee A; Varghese J; Dugas M. . ‘Portal of Medical Data Models: Stakeholder Feedback and Requirements.’ Studies in Health Technology and Informatics 281: 488–489. doi: 10.3233/SHTI210208.
    • Oehm J; Storck M; Fechner M; Brix TJ; Yildirim K; Dugas M. . ‘FhirExtinguisher: A FHIR Resource Flattening Tool Using FHIRPath.’ Studies in Health Technology and Informatics 281: 1112–1113. doi: 10.3233/SHTI210369.
    • Raidt J; Pennekamp P; Riepenhausen S; Krenz H; Helms S; Nöthe-Menchen T; Dworniczak B; Olbrich H; Loges NT; Große-Onnebrink J; Holgersen MG; Marthin JK; Nielsen KG; Dugas M; Omran H. . ‘The international primary ciliary dyskinesia (PCD) registry reports genotype/phenotype-correlations.’ In Monitoring airway disease, edited by European Respiratory Journal, PA2233. online: European Respiratory Society. doi: 10.1183/13993003.congress-2021.PA2233.
    • Riepenhausen S; Mertens C; Dugas M. . ‘Comparing SDTM and FHIR® for Real World Data from Electronic Health Records for Clinical Trial Submissions.’ Studies in Health Technology and Informatics 281: 585–589. doi: 10.3233/SHTI210238.
    • Banck H; Dugas M; Müller-Tidow C; Sandmann S. . ‘Comparison of Open-access Databases for Clinical Variant Interpretation in Cancer: A Case Study of MDS/AML.’ Cancer Genomics and Proteomics 18, Nr. 2: 157–166. doi: 10.21873/cgp.20250.
    • Reder H; Wagner S; Wuerdemann N; Langer C; Sandmann S; Braeuninger A; Dugas M; Gattenloehner S; Wittekindt C; Klussmann JP. . ‘Mutation patterns in recurrent and/or metastatic oropharyngeal squamous cell carcinomas in relation to human papillomavirus status.’ Cancer medicine 10, Nr. 4: 1347–1356. doi: 10.1002/cam4.3741.
    • Reutter K; Sandmann S; Rohde J; Müller S; Wöste M; Khanam T; Michgehl U; Klapper W; Wößmann W; Seggewiß J; Lenz G; Dugas M; Burkhardt B. . ‘Publisher Correction: Reconstructing clonal evolution in relapsed and non-relapsed Burkitt lymphoma.’ Leukemia 35, Nr. 12: 3630. doi: 10.1038/s41375-021-01359-2.
    • Wei L; Dugas M; Sandmann S. . ‘SimFFPE and FilterFFPE: improving structural variant calling in FFPE samples.’ GigaScience 10, Nr. 9. doi: 10.1093/gigascience/giab065.
    • Blitz R; Storck M; Baune BT; Dugas M; Opel N. . ‘Design and Implementation of an Informatics Infrastructure for Standardized Data Acquisition, Transfer, Storage, and Export in Psychiatric Clinical Routine: Feasibility Study.’ JMIR Mental Health 8, Nr. 6: e26681. doi: 10.2196/26681.
    • Efficace F; Koinig KA; Cottone F; Bowen D; Mittelman M; Langemeijer SMC; Culligan D; Filanovsky K; Abel GA; Storck M; Smith A; van Marrewijk C; Dugas M; Witte TM; Stauder R. . ‘Validation of the Qualms Questionnaire to Assess Health-Related Quality of Life in European and Israeli Patients with Myelodysplastic Syndromes: Results from the MDS-Right Project.’ Blood 138, Nr. Supplement 1: 1982. doi: 10.1182/blood-2021-147176.
    • Holstein J; Solimani F; Baum C; Meier K; Pollmann R; Didona D; Tekath T; Dugas M; Casadei N; Hudemann C; Polakova A; Matthes J; Schäfer I; Yazdi AS; Eming R; Hertl M; Pfützner W; Ghoreschi K; Möbs C. . ‘Immunophenotyping in pemphigus reveals a TH17/TFH17 cell-dominated immune response promoting desmoglein1/3-specific autoantibody production.’ Journal of Allergy and Clinical Immunology 147, Nr. 6: 2358–2369. doi: 10.1016/j.jaci.2020.11.008.
    • Holstein J; Solimani F; Baum C; Meier K; Robert P; Didona D; Tekath T; Dugas M; Casadei N; Matthes J; Schaefer I; Polakova A; Hudemann C; Stach R; Yazdi A; Eming R; Hertl M; Pfuetzner W; Kamran G; Moebs C. . ‘Type 17 T follicular helper cells promote desmoglein 1/3-specific autoantibody production in pemphigus.’ Experimental Dermatology 30, Nr. 3: 65.
    • Varghese J; Sandmann S; Ochs K; Schrempf I; Frömmel C; Dugas M; Schmidt HH; Vollenberg R; Tepasse P. . ‘Persistent symptoms and lab abnormalities in patients who recovered from COVID-19.’ Scientific Reports 11, Nr. 1: 12775. doi: 10.1038/s41598-021-91270-8.
    • Michler P; Auer F; Wagener R; Brozou T; Friedrich UA; Walter C; Dugas M; Borkhardt A; Stölzel F; Hauer J. . ‘Novel Germline POT1 Variant Predisposes to Childhood Acute Myeloid Leukemia.’ Blood 138, Nr. Supplement 1: 3449. doi: 10.1182/blood-2021-150456.
    • Schubert M; Lanuza LP; Woeste M; Dugas M; Rassam Y; Heilmann-Heimbach S; Tuettelmann F; Kliesch S; Gromoll J. . ‘A Genome Wide Association Study in men with unexplained infertility identifies nine SNPs at the FSHB locus to be associated with Follicle Stimulating Hormone level.’ Human Reproduction 36, Nr. Suppl 1: 10–11. doi: 10.1093/humrep/deab125.019.
    • Schubert M; Perez LL; Woeste M; Dugas M; Rassam Y; Heilmann-Heimbach S; Tuettelmann F; Kliesch S; Gromoll J. . ‘Identifying a genomic region at Chromosome 11p.14.1 that is associated to FSH serum level in men with unexplained male infertility.’ European Urology 79, Nr. Suppl 1: S691. doi: 10.1016/S0302-2838(21)00883-6.
    • Krenz H, Gromoll J, Darde T, Chalmel F, Dugas M, Tüttelmann F. . ‘The Male Fertility Gene Atlas: a web tool for collecting and integrating OMICS data in the context of male infertility.’ Human Reproduction 35, Nr. 9. doi: 10.1093/humrep/deaa155.
    • Krenz, Henrike; Gromoll, Jörg; Darde, Thomas; Chalmel, Frederic; Dugas, Martin; Tüttelmann, Frank. . ‘The Male Fertility Gene Atlas: a web tool for collecting and integrating OMICs data in the context of male infertility.’ Human Reproduction 35, Nr. 9: 1983–1990. doi: 10.1093/humrep/deaa155.
    • Wyrwoll, Margot J; Temel, Şehime G; Nagirnaja, Liina; Oud, Manon S; Lopes, Alexandra M; van der Heijden, Godfried W; Heald, James S; Rotte, Nadja; Wistuba, Joachim; Wöste, Marius; Ledig, Susanne; Krenz, Henrike; Smits, Roos M; Carvalho, Filipa; Gonçalves, João; Fietz, Daniela; Türkgenç, Burcu; Ergören, Mahmut C; Çetinkaya, Murat; Başar, Murad; Kahraman, Semra; McEleny, Kevin; Xavier, Miguel J; Turner, Helen; Pilatz, Adrian; Röpke, Albrecht; Dugas, Martin; Kliesch, Sabine; Neuhaus, Nina; GEMINI Consortium; Aston, Kenneth I; Conrad, Donald F; Veltman, Joris A; Friedrich, Corinna; Tüttelmann, Frank. . ‘Bi-allelic mutations in M1AP are a frequent cause of meiotic arrest and severely impaired spermatogenesis leading to male infertility.’ American Journal of Human Genetics 107, Nr. 2: 342–351. doi: 10.1016/j.ajhg.2020.06.010.
    • Leitão E, Di Persio S, Laurentino S, Wöste M, Dugas M, Kliesch S, Neuhaus N, Horsthemke B. . ‘The sperm epigenome does not display recurrent epimutations in patients with severely impaired spermatogenesis.’ Clinical Epigenetics 121, Nr. 1: 61. doi: 10.1186/s13148-020-00854-0.
    • Khanam T, Sandmann S, Seggewiss J, Ruether CM, Zimmermann M, Norvil A, Bartenhagen C, Randau G, Mueller S, Herbrüggen H, Hoffmann P, Herms S, Wei L, Wöste M, Wünsch C, Gowher H, Oschlies I, Klapper W, Woessmann W, Dugas M, Burkhardt B. . ‘Integrative genomic analysis of pediatric T- cell lymphoblastic lymphoma reveals candidates of clinical significance.’ Blood 2020. doi: 10.1182/blood.2020005381.
    • Pauli C, Liu Y, Rohde C, Cui C, Fijalkowska D, Gerloff D, Walter C, Krijgsveld J, Dugas M, Edemir B, Pabst C, Müller LP, Zhou F, Müller-Tidow C. . ‘Site-specific methylation of 18S ribosomal RNA by SNORD42A is required for acute myeloid leukemia cell proliferation.’ Blood 135, Nr. 23: 2059–2070. doi: 10.1182/blood.2019004121.
    • Pereira MP, Hoffmann V, Weisshaar E, Wallengren J, Halvorsen JA, Garcovich S, Misery L, Brenaut E, Savk E, Potekaev N, Lvov A, Bobko S, Szepietowski JC, Reich A, Bozek A, Legat FJ, Metz M, Streit M, Serra-Baldrich E, Gon{çc}}alo M, Storck M, Greiwe I, Nau T, Steinke S, Dugas M, Ständer S, Zeidler C, {EPP Consensus Conference Participants 2017}, Dalgard F, Elberling J, Forner C, Leslie T, Riepe C, Schneider G, Ständer H. . ‘Chronic nodular prurigo: clinical profile and burden. A European cross-sectional study.’ Journal of the European Academy of Dermatology and Venereology 34, Nr. 10: 2373–2383. doi: 10.1111/jdv.16309.
    • Pereira MP, Zeidler C, Wallengren J, Halvorsen JA, Weisshaar E, Garcovich S, Misery L, Brenaut E, ?avk E, Potekaev N, Lvov A, Bobko S, Szepietowski JC, Reich A, Bozek A, Legat FJ, Metz M, Streit M, Serra-Baldrich E, Gon{çc}}alo M, Storck M, Nau T, Hoffmann V, Steinke S, Greiwe I, Dugas M, Augustin M, Ständer S. . ‘Chronic Nodular Prurigo: A European Cross-sectional Study of Patient Perspectives on Therapeutic Goals and Satisfaction.’ Acta dermato-venereologica 2020. doi: 10.2340/00015555-3726.
    • Reichenpfader D, Glauser R, Dugas M, Denecke K. . ‘Assessing and Improving the Usability of the Medical Data Models Portal.’ Studies in Health Technology and Informatics 271: 199–206.
    • Holstein J, Solimani F, Baum C, Meier K, Pollmann R, Didona D, Tekath T, Dugas M, Casadei N, Hudemann C, Polakova A, Matthes J, Schäfer I, Yazdi AS, Eming R, Hertl M, Pfützner W, Ghoreschi K, Möbs C. . ‘Immunophenotyping in pemphigus reveals a T17/T17 cell-dominated immune response promoting desmoglein1/3-specific autoantibody production.’ Journal of Allergy and Clinical Immunology 2020. doi: 10.1016/j.jaci.2020.11.008.
    • Reutter K, Sandmann S, Rohde J, Müller S, Wöste M, Khanam T, Michgehl U, Klapper W, Wö{ß}mann W, Seggewi{ß} J, Lenz G, Dugas M, Burkhardt B. . ‘Reconstructing clonal evolution in relapsed and non-relapsed Burkitt lymphoma.’ Leukemia 2020.
    • Blitz R, Dugas M. . ‘Conceptual Design, Implementation, and Evaluation of Generic and Standard-Compliant Data Transfer into Electronic Health Records.’ Applied Clinical Informatics 11, Nr. 3: 374–386.
    • Bolte FJ, Langenstroer C, Friebel F, Hüsing-Kabar A, Dugas M, Schmidt HH. . ‘Patient-reported outcomes on familial amyloid polyneuropathy (FAP).’ Orphanet Journal of Rare Diseases 15, Nr. 1: 287. doi: 10.1186/s13023-020-01575-6.
    • Dugas M, Schrempf IM, Ochs K, Frömmel C, Greulich L, Neuhaus P, Tepasse PR, Schmidt HH. . ‘Association of contact to small children with a mild course of COVID-19.’ International Journal of Infectious Diseases 100: 314–315. doi: 10.1016/j.ijid.2020.09.003.
    • Richter MF, Storck M, Blitz R, Goltermann J, Seipp J, Dannlowski U, Baune BT, Dugas M, Opel N. . ‘Repeated Digitized Assessment of Risk and Symptom Profiles During Inpatient Treatment of Affective Disorder: Observational Study.’ JMIR Mental Health 7, Nr. 12: e24066. doi: 10.2196/24066.
    • Zeidler C, Pereira MP, Dugas M, Augustin M, Storck M, Weyer-Elberich V, Schneider G, Ständer S. . ‘The burden in chronic prurigo: patients with chronic prurigo suffer more than patients with chronic pruritus on non-lesional skin: A comparative, retrospective, explorative statistical analysis of 4,484 patients in a real-world cohort.’ Journal of the European Academy of Dermatology and Venereology 2020. doi: 10.1111/jdv.16929.
    • Troschel FM, Ramroth C, Lemcke L, Clasing J, Troschel AS, Dugas M, Stummer W, Wiewrodt R, Brandt R, Wiewrodt D. . ‘Feasibility, Safety and Effects of a One-Week, Ski-Based Exercise Intervention in Brain Tumor Patients and Their Relatives: A Pilot Study.’ Journal of Clinical Medicine 9, Nr. 4. doi: 10.3390/jcm9041006.
    • Varghese J, Fujarski M, Hahn T, Dugas M, Warnecke T. . ‘The Smart Device System for Movement Disorders: Preliminary Evaluation of Diagnostic Accuracy in a Prospective Study.’ Studies in Health Technology and Informatics 270: 889–893.
    • Wass M, Göllner S, Besenbeck B, Schlenk RF, Mundmann P, Göthert JR, Noppeney R, Schliemann C, Mikesch JH, Lenz G, Dugas M, Wermke M, Röllig C, Bornhäuser M, Serve H, Platzbecker U, Foerster KI, Burhenne J, Haefeli WE, Müller LP, Binder M, Pabst C, Müller-Tidow C, {Study Alliance Leukemia}. . ‘A proof of concept phase I/II pilot trial of LSD1 inhibition by tranylcypromine combined with ATRA in refractory/relapsed AML patients not eligible for intensive therapy.’ Leukemia 2020. doi: 10.1038/s41375-020-0892-z.
    • Wünsch C, Banck H, Müller-Tidow C, Dugas M. . ‘AMLVaran: a software approach to implement variant analysis of targeted NGS sequencing data in an oncological care setting.’ BMC Medical Genomics 13, Nr. 1: 17.
    • Wyrwoll MJ, Temel ?, Nagirnaja L, Oud MS, Lopes AM, {van der Heijden} GW, Heald JS, Rotte N, Wistuba J, Wöste M, Ledig S, Krenz H, Smits RM, Carvalho F, Gon{çc}}alves J, Fietz D, Türkgen{çc}} B, Ergören MC, {çC}}etinkaya M, Ba?ar M, Kahraman S, McEleny K, Xavier MJ, Turner H, Pilatz A, Röpke A, Dugas M, Kliesch S, Neuhaus N, {GEMINI Consortium}, Aston KI, Conrad DF, Veltman JA, Friedrich C, Tüttelmann F. . ‘Bi-allelic Mutations in M1AP Are a Frequent Cause of Meiotic Arrest and Severely Impaired Spermatogenesis Leading to Male Infertility.’ American Journal of Human Genetics 107, Nr. 2: 342–351. doi: 10.1016/j.ajhg.2020.06.010.
    • Sandmann S, Graaf AO, Tobiasson M, Kosmider O, Abáigar M, Clappier E, Gall{\'i} A, {van der Reijden} BA, Malcovati L, Fenaux P, Díez-Campelo M, Fontenay M, Hellström-Lindberg E, Jansen JH, Dugas M. . ‘Multicenter Next-Generation Sequencing Studies Between Theory and Practice: Harmonization of Data Analysis Using Real-World Myelodysplastic Syndrome Data.’ Journal of Molecular Diagnostics 2020. doi: 10.1016/j.jmoldx.2020.12.001.
    • Sandmann S, Wöste M, Graaf AO, Burkhardt B, Jansen JH, Dugas M. . ‘CopyDetective: Detection threshold-aware copy number variant calling in whole-exome sequencing data.’ GigaScience 9, Nr. 11. doi: 10.1093/gigascience/giaa118.
    • Schubert M, Kaldewey S, {Pérez Lanuza}} L, Krenz H, Dugas M, Berres S, Kliesch S, Wistuba J, Gromoll J. . ‘Does the FSHB c.-211G{\textgreater}T polymorphism impact Sertoli cell number and the spermatogenic potential in infertile patients?’ Andrology 8, Nr. 5: 1030–1037. doi: 10.1111/andr.12777.
    • Schuster B, Dugas M, Zink A. . ‘[Medical apps-possibilities for pruritus].’ Der Hautarzt 71, Nr. 7: 528–534.
    • Fechner M, Brix TJ, Hardt T, Oehm J, Dugas M, Storck M. . ‘Evaluation of openEHR Repositories Regarding Standard Compliance.’ Studies in Health Technology and Informatics 270: 592–596.
    • Richter MF, Storck M, Blitz R, Goltermann J, Seipp J, Dannlowski U, Baune BT, Dugas M, Opel N. . ‘Repeated digitised assessment of risk and symptom profiles during inpatient treatment for affective disorders: Observational study.’ JMIR Mental Health 7.
    • Varghese J, Fujarski M, Hahn T, Dugas M, Warnecke T. . ‘The Smart Device System for Movement Disorders: Preliminary Evaluation of Diagnostic Accuracy in a Prospective Study.’ Studies in Health technologies and informatics 270.
    • Richter MF, Storck M, Blitz R, Goltermann J, Seipp J, Dannlowski U, Baune BT, Dugas M, Opel N. . ‘Repeated digitised assessment of risk and symptom profiles during inpatient treatment for affective disorders: Observational study.’ JMIR Mental Health 7.
    • Sandmann, Sarah; Karimi, Mohsen; de Graaf, Aniek O; Rohde, Christian; Göllner, Stefanie; Varghese, Julian; Ernsting, Jan; Walldin, Gunilla; van der Reijden, Bert A; Müller-Tidow, Carsten; Malcovati, Luca; Hellström-Lindberg, Eva; Jansen, Joop H; Dugas, Martin. . ‘appreci8: a pipeline for precise variant calling integrating 8 tools.’ Bioinformatics 2018/24/34. doi: 10.1093/bioinformatics/bty518.
    • Walter C, Schuetzmann D, Rosenbauer F, Dugas M. . ‘Benchmarking of 4C-seq pipelines based on real and simulated data.’ Bioinformatics 35, Nr. 23.
    • Fischer J, Walter C, Tönges A, Aleth H, Jordão MJC, Leddin M, Gröning V, Erdmann T, Lenz G, Roth J, Vogl T, Prinz M, Dugas M, Jacobsen ID, Rosenbauer F. . ‘Safeguard function of PU.1 shapes the inflammatory epigenome of neutrophils.’ Nature Immunology Mar 25.
    • Holz C, Kessler T, Dugas M, Varghese J. . ‘Core Data Elements in Acute Myeloid Leukemia: A Unified Medical Language System-Based Semantic Analysis and Experts' Review.’ JMIR Med Inf 7, Nr. 3: e13554. doi: 10.2196/13554.
    • Reder H, Wagner S, Gamerdinger U, Sandmann S, Wuerdemann N, Braeuninger A, Dugas M, Gattenloehner S, Klussmann JP, Wittekindt C. . ‘Genetic alterations in human papillomavirus-associated oropharyngeal squamous cell carcinoma of patients with treatment failure.’ Oral Oncology 93: 59–65. doi: 10.1016/j.oraloncology.2019.04.013.
    • Kentgen M, Varghese J, Samol A, Waltenberger J, Dugas M. . ‘Common Data Elements for Acute Coronary Syndrome: Analysis Based on the Unified Medical Language System.’ JMIR medical informatics 7, Nr. 3: e14107. doi: 10.2196/14107.
    • Dugas M, Hegselmann S, Riepenhausen S, Neuhaus P, Greulich L, Meidt A, Varghese J. . ‘Compatible Data Models at Design Stage of Medical Information Systems: Leveraging Related Data Elements from the MDM Portal.’ Studies in Health Technology and Informatics 264: 113–117.
    • Varghese J, Fujarski M, Dugas M. . ‘StudyPortal - Geovisualization of Study Research Networks.’ Journal of Medical Systems 44, Nr. 1: 22.
    • Varghese J, Fujarski M, Dugas M. . ‘StudyPortal - A Novel Method to Visualize Study Research Networks.’ Studies in Health Technology and Informatics 258: 163.
    • Varghese J, Niewöhner S, Soto-Rey I, Schipmann-Mileti S, Warneke N, Warnecke T, Dugas M. . ‘A Smart Device System to Identify New Phenotypical Characteristics in Movement Disorders.’ Frontiers in Neurology 10: 48. doi: 10.3389/fneur.2019.00048.
    • Storck M, Hollenberg L, Dugas M, Soto-Rey I. . ‘Interoperability Improvement of Mobile Patient Survey (MoPat) Implementing Fast Health Interoperability Resources (FHIR).’ Studies in Health Technology and Informatics 258: 141–145.
    • Riepenhausen S, Varghese J, Neuhaus P, Storck M, Meidt A, Hegselmann S, Dugas M. . ‘Portal of Medical Data Models: Status 2018.’ Studies in Health Technology and Informatics 258: 239–240.
    • Rodríguez-Hernández G, Opitz FV, Delgado P, Walter C, Álvarez-Prado ÁF, González-Herrero I, Auer F, Fischer U, Janssen S, Bartenhagen C, Raboso-Gallego J, Casado-García A, Orfao A, Blanco O, Alonso-López D, Rivas JL, Tena-Dávila SG, Müschen M, Dugas M, Criado FJ, Cenador MB, Vicente-Due{ñ}as C, Hauer J, Ramiro AR, Sanchez-Garcia I, Borkhardt A. . ‘Infectious stimuli promote malignant B-cell acute lymphoblastic leukemia in the absence of AID.’ Nature Communications 10, Nr. 1: 5563.
    • Ropke A, Kockerling N, Wyrwoll MJ, Emich J, Woste M, Dugas M, Pilatz A, Schuppe H, Diemer T, Fietz D, Krallmann C, Kliesch S, Friedrich C, Tuttelmann F. . ‘Genetic analysis of 24 candidate genes validates TEX14, TEX11, NR5A1 and DMRT1 as clinically relevant for non-obstructive azoospermia.’ European Journal of Human Genetics 27 2: 1191.
    • Brix TJ, Neuhaus P, Storck M, Soto-Rey I, Dugas M. . ‘Reviving 30 Year Old Technology: Lessons Learned from Transferring Patient Data Using Data Matrix Codes.’ Studies in Health Technology and Informatics 258: 90–94.
    • Martial S, Brix TJ, Klotz L, Neuhaus P, Berger K, Warnke C, Meuth SG, Wiendl H, Dugas M. . ‘EMR-integrated minimal core dataset for routine health care and multiple research settings: A case study for neuroinflammatory demyelinating diseases.’ PloS one 14, Nr. 10: e0223886.
    • Schipmann S, Brix T, Varghese J, Warneke N, Schwake M, Brokinkel B, Ewelt C, Dugas M, Stummer W. . ‘Adverse events in brain tumor surgery: incidence, type, and impact on current quality metrics.’ Acta Neurochirurgica 161, Nr. 2: 287–306. doi: 10.1007/s00701-018-03790-4.
    • Schipmann S, Varghese J, Brix T, Schwake M, Keurhorst D, Lohmann S, {Suero Molina} E, Mauer UM, Dugas M, Warneke N, Stummer W. . ‘Establishing risk-adjusted quality indicators in surgery using administrative data-an example from neurosurgery.’ Acta Neurochirurgica 161, Nr. 6: 1057–1065. doi: 10.1007/s00701-018-03792-2.
    • Wünsch C, Dugas M. „REST-based annotation and filtering of Next-Generation Sequencing variant lists with integration into standard office tools.“ contributed to the European Conference on Computational Biology (ECCB), Athen, . doi: 10.7490/f1000research.1116119.1.
    • Brozou T, Taeubner J, Velleuer E, Dugas M, Wieczorek D, Borkhardt A, Kuhlen M. . ‘Correction to: Genetic predisposition in children with cancer - affected families' acceptance of Trio-WES.Y - 2018.’ European Journal of Pediatrics 177, Nr. 1: 61.
    • Brozou T, Taeubner J, Velleuer E, Dugas M, Wieczorek D, Borkhardt A, Kuhlen M. . ‘Genetic predisposition in children with cancer - affected families' acceptance of Trio-WES.Y - 2018.’ European Journal of Pediatrics 177, Nr. 1: 53–60.
    • Schuetzmann D, Walter C, van Riel B, Kruse S, König T, Erdmann T, Tönges A, Bindels E, Weilemann A, Gebhard C, Wethmar K, Perrod C, Minderjahn J, Rehli M, Delwel R, Lenz G, Gröschel S, Dugas M, Rosenbauer F. . ‘Temporal auto-regulation during human PU.1 locus SubTAD formation.’ Blood 132.
    • Martín-Lorenzo A, Auer F, Chan LN, García-Ramírez I, González-Herrero I, Rodríguez-Hernández G, Bartenhagen C, Dugas M, Gombert M, Ginzel S, Blanco O, Orfao A, Alonso-López D, Rivas JL, García-Cenador MB, García-Criado FJ, Müschen M, Sánchez-García I, Borkhardt A, Vicente-Due{ñ}as C, Hauer J. . ‘Loss of Pax5 Exploits Sca1-BCR-ABL Susceptibility to Confer the Metabolic Shift Essential for pB-ALL.’ Cancer Research 78, Nr. 10: 2669–2679.
    • Khanam T, Ruther C, Bartenhagen C, Seggewiss J, Herbruggen H, Muller S, Wunsch C, Oschlies I, Klapper W, Dugas M, Sandmann S, Burkhardt B. . ‘Mutational spectrum of relapse in pediatric and adolescent patients with T-LBL.’ British Journal of Haematology 182 1: 20.
    • Kock-Schoppenhauer AK, Ulrich H, Wagen-Zink S, Duhm-Harbeck P, Ingenerf J, Neuhaus P, Dugas M, Bruland P. . ‘Compatibility Between Metadata Standards: Import Pipeline of CDISC ODM to the Samply.MDR.’ Studies in Health Technology and Informatics 247: 221–225.
    • Brozou T, Taeubner J, Velleuer E, Dugas M, Wieczorek D, Borkhardt A, Kuhlen M. . ‘Genetic predisposition in children with cancer - affected families' acceptance of Trio-WES.’ European Journal of Pediatrics 177, Nr. 1: 53–60.
    • Brozou T, Taeubner J, Velleuer E, Dugas M, Wieczorek D, Borkhardt A, Kuhlen M. . ‘Correction to: Genetic predisposition in children with cancer - affected families' acceptance of Trio-WES.’ European Journal of Pediatrics 177, Nr. 1: 61.
    • Hegselmann S, Storck M, Ge{ß}ner S, Neuhaus P, Varghese J, Dugas M. . ‘A Web Service to Suggest Semantic Codes Based on the MDM-Portal.’ Studies in Health Technology and Informatics 253: 35–39.
    • García-Ramírez I, Bhatia S, Rodríguez-Hernández G, González-Herrero I, Walter C, {González de Tena-Dávila}}} S, Parvin S, Haas O, Woessmann W, Stanulla M, Schrappe M, Dugas M, Natkunam Y, Orfao A, Domínguez V, Pintado B, Blanco O, Alonso-López D, {Las Rivas} J, Martín-Lorenzo A, Jiménez R, {García Criado}} FJ, {García Cenador}} MB, Lossos IS, Vicente-Due{ñ}as C, Borkhardt A, Hauer J, Sánchez-García I. . ‘Lmo2 expression defines tumor cell identity during T-cell leukemogenesis.’ EMBO Journal 37, Nr. 14.
    • Reutter K, Rohde J, Khanam T, Herbruggen H, Muller S, Wossmann W, Oschlies I, Klapper W, Dugas M, Sandmann S, Burkhardt B. . ‘The mutational spectrum of relapsed Burkitt lymphoma in children and adolescents.’ British Journal of Haematology 182 1, Nr. SI: 80.
    • Varghese J, Fujarski M, Hegselmann S, Neuhaus P, Dugas M. . ‘CDEGenerator: an online platform to learn from existing data models to build model registries.’ Clinical Epidemiology 10: 961–970. doi: 10.2147/CLEP.S170075.
    • Varghese J, Sandmann S, Dugas M. . ‘Web-Based Information Infrastructure Increases the Interrater Reliability of Medical Coders: Quasi-Experimental Study.’ Journal of medical Internet research 20, Nr. 10: e274.
    • Ruther C, Khanam T, Bartenhagen C, Seggewiss J, Herbruggen H, Muller S, Wunsch C, Oschlies I, Klapper W, Dugas M, Sandmann S, Burkhardt B. . ‘Targeted panel for pediatric T-LBL.’ British Journal of Haematology 182 1: 52.
    • Schuetzmann D, Walter C, {van Riel} B, Kruse S, König T, Erdmann T, Tönges A, Bindels E, Weilemann A, Gebhard C, Wethmar K, Perrod C, Minderjahn J, Rehli M, Delwel R, Lenz G, Gröschel S, Dugas M, Rosenbauer F. . ‘Temporal autoregulation during human PU.1 locus SubTAD formation.’ Blood 132, Nr. 25: 2643–2655. doi: 10.1182/blood-2018-02-834721.
    • Agelopoulos K, Lotts T, Conrad H, Dugas M, Stander S. . ‘Gene expression profiling in chronic prurigo of nodular type.’ Experimental Dermatology 27, Nr. 3: E79–E80.
    • Bruland P, Doods J, Brix T, Dugas M, Storck M. . ‘Connecting healthcare and clinical research: Workflow optimizations through seamless integration of EHR, pseudonymization services and EDC systems.’ International Journal of Medical Informatics 119: 103–108. doi: 10.1016/j.ijmedinf.2018.09.007.
    • Schipmann S, Brix T, Varghese J, Warneke N, Schwake M, Brokinkel B, Ewelt C, Dugas M, Stummer W. . ‘ADVERSE EVENTS IN BRAIN TUMOR SURGERY: INCIDENCE, TYPE AND IMPACT ON CURRENT QUALITY METRICS.’ Neuro-Oncology 20 6: 120. doi: 10.1093/neuonc/noy148.502.
    • Soto-Rey I, Neuhaus P, Bruland P, Ge{ß}ner S, Varghese J, Hegselmann S, Brix T, Dugas M, Storck M. . ‘Standardising the Development of ODM Converters: The ODMToolBox.’ Studies in Health Technology and Informatics 247: 231–235.
    • Wünsch C, Sandmann S, Windau S, Dugas M. „AML-Varan – a generic approach to integrate a multi-tool-combination based NGS variant calling pipeline into a web-based diagnostics platform.“ contributed to the Intelligent Systems for Molecular Biology (ISMB), Prag, . doi: 10.7490/f1000research.1114839.1.
    • Bruland P., Dugas M. . ‘S2O - A software tool for integrating research data from general purpose statistic software into electronic data capture systems.’ BMC Medical Informatics and Decision Making 17, Nr. 1. doi: 10.1186/s12911-016-0402-4.
    • Sandmann S, de Graaf AO, Dugas M. . ‘BBCAnalyzer: a visual approach to facilitate variant calling.’ BMC Bioinformatics 18. doi: 10.1186/s12859-017-1549-4.
    • Sandmann S., De Graaf A., Van Der Reijden B., Jansen J., Dugas M. . ‘GLM-based optimization of NGS data analysis: A case study of Roche 454, ion torrent PGM and Illumina NextSeq sequencing data.’ PloS one 12, Nr. 2. doi: 10.1371/journal.pone.0171983.
    • Sandmann S., De Graaf A., Karimi M., Van Der Reijden B., Hellström-Lindberg E., Jansen J., Dugas M. . ‘Evaluating Variant Calling Tools for Non-Matched Next-Generation Sequencing Data.’ Scientific Reports 7, Nr. null. doi: 10.1038/srep43169.
    • Steinke S., Bruland P., Blome C., Osada N., Dugas M., Fritz F., Augustin M., Ständer S. . ‘Chronic pruritus: evaluation of patient needs and treatment goals with a special regard to differences according to pruritus classification and sex.’ British Journal of Dermatology 176, Nr. 2: 363–370. doi: 10.1111/bjd.14910.
    • Pereira MP, Steinke S, Zeidler C, Forner C, Riepe C, Augustin M, Bobko S, Dalgard F, Elberling J, Garcovich S, Gieler U, Gonçalo M, Halvorsen JA, Leslie TA, Metz M, Reich A, Şavk E, Schneider G, Serra-Baldrich E, Ständer HF, Streit M, Wallengren J, Weller K, Wollenberg A, Bruland P, Soto-Rey I, Storck M, Dugas M, Weisshaar E, Szepietowski JC, Legat FJ, Ständer S; EADV Task Force Pruritus group members. . ‘European academy of dermatology and venereology European prurigo project: expert consensus on the definition, classification and terminology of chronic prurigo.’ Journal of the European Academy of Dermatology and Venereology n/a. doi: 10.1111/jdv.14570.
    • Bruland P, Kathöfer U, Treder M, Eter N, Dugas M. . ‘Integrating x4T-EDC into an Image-Portal to Establish an Ophthalmic Reading Center.’ Studies in Health Technology and Informatics 245: 1254.
    • Varghese J, Kleine M, Gessner S, Sandmann S, Dugas M. . ‘Medical Effect of Venous Thromboembolism Prophylaxis Systems and Common Input Categories: Preliminary Findings from a Systematic Review.’ Studies in Health Technology and Informatics 245: 1175–1179.
    • Geßner S, Neuhaus P, Varghese J, Bruland P, Meidt A, Soto-Rey I, Storck M, Doods J, Dugas M. . ‘The Portal of Medical Data Models: Where Have We Been and Where Are We Going?’ Studies in Health Technology and Informatics 245: 858–862.
    • Bruland P, Doods J, Storck M, Dugas M. . ‘What Information Does Your EHR Contain? Automatic Generation of a Clinical Metadata Warehouse (CMDW) to Support Identification and Data Access Within Distributed Clinical Research Networks.’ Studies in Health Technology and Informatics 245: 313–317.
    • Storck M, Wohlmann J, Krudwig S, Vogel A, Born J, Weber T, Dugas M, Juhra C. . ‘A Secure Architecture to Provide a Medical Emergency Dataset for Patients in Germany and Abroad.’ Studies in Health Technology and Informatics 245: 230–234.
    • Soto-Rey I, Geßner S, Dugas M. . ‘Operational Data Model Conversion to ResearchKit.’ Studies in Health Technology and Informatics 245: 225–229.
    • Storck M, Dugas-Breit S, Dugas M, Soto-Rey I. . ‘MOPAT@HOME: Electronic Patient Reported Outcomes Filled Out at Home, Evaluated at the Hospital.’ Studies in Health Technology and Informatics 244: 101.
    • Gessner S, Storck M, Hegselmann S, Dugas M, Soto-Rey I. . ‘Automated Transformation of CDISC ODM to OpenClinica.’ Studies in Health Technology and Informatics 243: 95–99.
    • Hegselmann S, Gessner S, Neuhaus P, Henke J, Schmidt C, Dugas M. . ‘Automatic Conversion of Metadata from the Study of Health in Pomerania to ODM.’ Studies in Health Technology and Informatics 236: 88–96.
    • Varghese J, Kleine M, Gessner S, Sandmann S, Dugas M. . ‘Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review.’ Journal of the American Medical Informatics Association 2017.
    • Zeidler C, Bruland P, Riepe C, Soto I, Steinke S, Storck M, Dugas M, Stander S. . ‘EUROPEAN EADV NETWORK ON ASSESSMENT OF SEVERITY AND BURDEN OF PRURITUS (PRUNET): VALIDATION OF INSTRUMENTS FOR ITCH INTENSITY ITCH-IMPAIRED QUALITY OF LIFE IN PRURITIC DERMATOSES IN EUROPE.’ Acta dermato-venereologica 97, Nr. 8: 1025.
    • Brozou T, Kuhlen M, Borkhardt A, Fremerey J, Velleuer E, Wieczorek D, Gombert M, Walter C, Dugas M. . ‘Cancer Predisposition in Childhood Cancer -The Duesseldorf Experience in Comprehensive Clinical Evaluation and Trio Whole Exome Sequencing of Families.’ Pediatric Blood and Cancer 64 3: S154–S155.
    • Zeidler C, Bruland P, Riepe C, Soto Rey I, Steinke S, Storck M, Dugas M, Stander S. . ‘Initiative PruNet: Validation of Instruments for the Measurement of Pruritus Intensity and Quality of Life in itchy Dermatoses in Europe.’ Journal der Deutschen Dermatologischen Gesellschaft 15: 186–187.
    • Sandmann S, Karimi M, de Graaf A, van der Reijden B, Hellstrom-Lindberg E, Jansen J, Dugas M. . ‘APPRECI8: A PIPELINE FOR PRECISE VARIANT CALLING INTEGRATING 8 TOOLS.’ Haematologica 102 2: 492.
    • Agelopoulos K, Lotts T, Conrad H, Dugas M, Stander S. . ‘GLOBAL GENE EXPRESSION PROFILING IN PRURIGO NODULARIS.’ Acta dermato-venereologica 97, Nr. 8: 1037.
    • Zeidler C, Bruland P, Riepe C, Soto I, Steinke S, Storck M, Dugas M, Stander S. . ‘EUROPEAN EADV NETWORK ON ASSESSMENT OF SEVERITY AND BURDEN OF PRURITUS (PRUNET): VALIDATION OF INSTRUMENTS FOR ITCH INTENSITY ITCH-IMPAIRED QUALITY OF LIFE IN PRURITIC DERMATOSES IN EUROPE.’ Acta dermato-venereologica 97, Nr. 8: 1025.
    • da Silva-Coelho P, Kroeze L, Yoshida K, Koorenhof-Scheele T, Knops R, van de Locht L, de Graaf A, Massop M, Sandmann S, Dugas M, Stevens-Kroef M, Cermak J, Shiraishi Y, Chiba K, Tanaka H, Miyano S, de Witte T, Blijlevens N, Muus P, Huls G, van der Reijden B, Ogawa S, Jansen J. . ‘Clonal evolution in myelodysplastic syndromes.’ Nature Communications 8: 15099.
    • Zhou F, Liu Y, Rohde C, Pauli C, Gerloff D, Köhn M, Misiak D, Bäumer N, Cui C, Göllner S, Oellerich T, Serve H, Garcia-Cuellar M, Slany R, Maciejewski J, Przychodzen B, Seliger B, Klein H, Bartenhagen C, Berdel W, Dugas M, Taketo M, Farouq D, Schwartz S, Regev A, Hébert J, Sauvageau G, Pabst C, Hüttelmaier S, Müller-Tidow C. . ‘AML1-ETO requires enhanced C/D box snoRNA/RNP formation to induce self-renewal and leukaemia.’ Nature Cell Biology 19, Nr. 7: 844–855.
    • Rodríguez-Hernández G, Hauer J, Martín-Lorenzo A, Schäfer D, Bartenhagen C, García-Ramírez I, Auer F, González-Herrero I, Ruiz-Roca L, Gombert M, Okpanyi V, Fischer U, Chen C, Dugas M, Bhatia S, Linka R, Garcia-Suquia M, Rascón-Trincado M, Garcia-Sanchez A, Blanco O, García-Cenador M, García-Criado F, Cobaleda C, Alonso-López D, De Las Rivas J, Müschen M, Vicente-Dueñas C, Sánchez-García I, Borkhardt A. . ‘Infection Exposure Promotes ETV6-RUNX1 Precursor B-cell Leukemia via Impaired H3K4 Demethylases.’ Cancer Research 77, Nr. 16: 4365–4377.
    • Kröger N, Panagiota V, Badbaran A, Zabelina T, Triviai I, Araujo Cruz M, Shahswar R, Ayuk F, Gehlhaar M, Wolschke C, Bollin R, Walter C, Dugas M, Wiehlmann L, Lehmann U, Koenecke C, Chaturvedi A, Alchalby H, Stadler M, Eder M, Christopeit M, Göhring G, Koenigsmann M, Schlegelberger B, Kreipe H, Ganser A, Stocking C, Fehse B, Thol F, Heuser M. . ‘Impact of Molecular Genetics on Outcome in Myelofibrosis Patients after Allogeneic Stem Cell Transplantation.’ Biology of Blood and Marrow Transplantation 23, Nr. 7: 1095–1101.
    • Bartenhagen C, Fischer U, Korn K, Pfister S, Gombert M, Chen C, Okpanyi V, Hauer J, Rinaldi A, Bourquin J, Eckert C, Hu J, Ensser A, Dugas M, Borkhardt A. . ‘Infection as a cause of childhood leukemia: virus detection employing whole genome sequencing.’ Haematologica 102, Nr. 5: e179–e183.
    • Girardeau Y, Doods J, Zapletal E, Chatellier G, Daniel C, Burgun A, Dugas M, Rance B. . ‘Leveraging the EHR4CR platform to support patient inclusion in academic studies: challenges and lessons learned.’ BMC Medical Research Methodology 17, Nr. 1: 36.
    • Göllner S, Oellerich T, Agrawal-Singh S, Schenk T, Klein H, Rohde C, Pabst C, Sauer T, Lerdrup M, Tavor S, Stölzel F, Herold S, Ehninger G, Köhler G, Pan K, Urlaub H, Serve H, Dugas M, Spiekermann K, Vick B, Jeremias I, Berdel W, Hansen K, Zelent A, Wickenhauser C, Müller L, Thiede C, Müller-Tidow C. . ‘Loss of the histone methyltransferase EZH2 induces resistance to multiple drugs in acute myeloid leukemia.’ Nature Medicine 23, Nr. 1: 69–78.
    • Wünsch C, Banck H, Stenner J, Dugas M. „AML-Varan - a web-based platform to display and analyze genomic variants from targeted NGS sequencing data.“ contributed to the European Conference on Computational Biology (ECCB), Den Haag, . doi: 10.7490/f1000research.1113145.1.
    • Dugas M., Neuhaus P., Meidt A., Doods J., Storck M., Bruland P., Varghese J. . ‘Portal of medical data models: Information infrastructure for medical research and healthcare.’ Database: The Journal of Biological Databases and Curation 2016, Nr. null. doi: 10.1093/database/bav121.
    • Bruland P., McGilchrist M., Zapletal E., Acosta D., Proeve J., Askin S., Ganslandt T., Doods J., Dugas M. . ‘Common data elements for secondary use of electronic health record data for clinical trial execution and serious adverse event reporting.’ BMC Medical Research Methodology 16, Nr. 1. doi: 10.1186/s12874-016-0259-3.
    • Riemke P., Czeh M., Fischer J., Walter C., Ghani S., Zepper M., Agelopoulos K., Lettermann S., Gebhardt M., Mah N., Weilemann A., Grau M., Gröning V., Haferlach T., Lenze D., Delwel R., Prinz M., Andrade-Navarro M., Lenz G., Dugas M., Müller-Tidow C., Rosenbauer F. . ‘Myeloid leukemia with transdifferentiation plasticity developing from T-cell progenitors.’ EMBO Journal 35, Nr. 22: 2399–2416. doi: 10.15252/embj.201693927.
    • Schulze I., Rohde C., Scheller-Wendorff M., Bäumer N., Krause A., Herbst F., Riemke P., Hebestreit K., Tschanter P., Lin Q., Linhart H., Godley L., Glimm H., Dugas M., Wagner W., Berdel W., Rosenbauer F., Müller-Tidow C. . ‘Increased DNA methylation of Dnmt3b targets impairs leukemogenesis.’ Blood 127, Nr. 12: 1575–1586. doi: 10.1182/blood-2015-07-655928.
    • Ständer S, Zeidler C, Riepe C, Steinke S, Fritz F, Bruland P, Soto-Rey I, Storck M, Agner T, Augustin M, Blome C, Dalgard F, Evers AW, Garcovich S, Gonçalo M, Lambert J, Legat FJ, Leslie T, Misery L, Raap U, Reich A, Şavk E, Streit M, Serra-Baldrich E, Szepietowski J, Wallengren J, Weisshaar E, Dugas M. . ‘European EADV network on assessment of severity and burden of Pruritus (PruNet): first meeting on outcome tools.’ Journal of the European Academy of Dermatology and Venereology 30, Nr. 7: 1144–1147. doi: 10.1111/jdv.13296.
    • Müller-Tidow C., Tschanter P., Röllig C., Thiede C., Koschmieder A., Stelljes M., Koschmieder S., Dugas M., Gerss J., Butterfaß-Bahloul T., Wagner R., Eveslage M., Thiem U., Krause S., Kaiser U., Kunzmann V., Steffen B., Noppeney R., Herr W., Baldus C., Schmitz N., Götze K., Reichle A., Kaufmann M., Neubauer A., Schäfer-Eckart K., Hänel M., Peceny R., Frickhofen N., Kiehl M., Giagounidis A., Görner M., Repp R., Link H., Kiani A., Naumann R., Brümmendorf T., Serve H., Ehninger G., Berdel W., Krug U. . ‘Azacitidine in combination with intensive induction chemotherapy in older patients with acute myeloid leukemia: The AML-AZA trial of the study alliance leukemia.’ Leukemia 30, Nr. 3: 555–561. doi: 10.1038/leu.2015.306.
    • Doods J, Neuhaus P, Dugas M. . ‘Converting ODM Metadata to FHIR Questionnaire Resources.’ Studies in Health Technology and Informatics 228: 456.
    • Soto-Rey I, Dugas M, Storck M. . ‘Implementation of an ODM and HL7 Compliant Electronic Patient-Reported Outcome System.’ Studies in Health Technology and Informatics 228: 421.
    • Varghese J, Holz C, Neuhaus P, Bernardi M, Boehm A, Ganser A, Gore S, Heaney M, Hochhaus A, Hofmann W, Krug U, Müller-Tidow C, Smith A, Weltermann A, de Witte T, Hehlmann R, Dugas M. . ‘Key Data Elements in Myeloid Leukemia.’ Studies in Health Technology and Informatics 228: 282.
    • Dugas M. . ‘Design of case report forms based on a public metadata registry: re-use of data elements to improve compatibility of data.’ Trials 17, Nr. 1: 566.
    • Storck M, Krumm R, Dugas M. . ‘ODMSummary: A Tool for Automatic Structured Comparison of Multiple Medical Forms Based on Semantic Annotation with the Unified Medical Language System.’ PloS one 11, Nr. 10: e0164569.
    • Dugas M. . ‘Sharing clinical trial data.’ Lancet 387, Nr. 10035: 2287.
    • Ständer S, Ständer H, Steinke S, Bruland P, Dugas M, Augustin M. . „Chronic pruritus : Care in daily practice.“ Der Hautarzt 67, Nr. 8: 640.
    • Garcia-Cuellar M, Büttner C, Bartenhagen C, Dugas M, Slany R. . ‘Leukemogenic MLL-ENL Fusions Induce Alternative Chromatin States to Drive a Functionally Dichotomous Group of Target Genes.’ Cell Reports 15, Nr. 2: 310.
    • Dugas M, Meidt A, Neuhaus P, Storck M, Varghese J. . ‘ODMedit: uniform semantic annotation for data integration in medicine based on a public metadata repository.’ BMC Medical Research Methodology 16: 65.
    • Kossak-Roth U, Saussele S, Aul C, Buchner T, Dohner H, Dugas M, Ehninger G, Ganser A, Giagounidis A, Gokbuget N, Griesshammer M, Hasford J, Heuser M, Hiddemann W, Hochhaus A, Hoelzer D, Niederwieser D, Reiter A, Rollig C, Hehlmann R. . ‘Leukemia research in Germany: the Competence Network Acute and Chronic Leukemias.’ Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 59, Nr. 4: 444–453.
    • Gollner S, Agrawal-Singh S, Oellerich T, Schenk T, Rohde C, Klein H, Sauer T, Lerdrup M, Tavor S, Stolzel F, Ehninger G, Kohler G, Pan K, Urlaub H, Serve H, Dugas M, Berdel W, Hansen K, Zelent A, Thiede C, Muller-Tidow C. . ‘A NOVEL EPIGENETIC RESISTANCE MECHANISM TO THE FLT3 INHIBITOR PKC412 INDUCES CROSS-RESISTANCE TO STANDARD CHEMOTHERAPY IN ACUTE MYELOID LEUKEMIA (AML).’ Haematologica 101 1: 166.
    • Bartenhagen C, Dugas M. . ‘Robust and exact structural variation detection with paired-end and soft-clipped alignments: SoftSV compared with eight algorithms.’ Briefings in Bioinformatics 17, Nr. 1: 51–62.
    • Soto-Rey I., Trinczek B., Girardeau Y., Zapletal E., Ammour N., Doods J., Dugas M., Fritz F. . ‘Efficiency and effectiveness evaluation of an automated multi-country patient count cohort system study design.’ BMC Medical Research Methodology 15, Nr. 1. doi: 10.1186/s12874-015-0035-9.
    • Warlich B., Fritz F., Bruland P., Stumpf A., Schneider G., Dugas M., Pfleiderer B., Ständer S. . ‘Health-Related Quality of Life in Chronic Pruritus: An Analysis Related to Disease Etiology, Clinical Skin Conditions and Itch Intensity.’ Dermatology 231: 253–259.
    • Walter C, Schuetzmann D, Rosenbauer F, Dugas M. . ‘Basic4Cseq: an R/Bioconductor package for analyzing 4C-seq data.’ Bioinformatics 30, Nr. 22: 3268–3269. doi: 10.1093/bioinformatics/btu497.
    • Bruland P., Dugas M. . ‘Transformations between CDISC ODM and openEHR Archetypes.’ Contributed to the 25th European Medical Informatics Conference, MIE 2014, tur. doi: 10.3233/978-1-61499-432-9-1225.
    • Thol F., Bollin R., Gehlhaar M., Walter C., Dugas M., Suchanek K., Kirchner A., Huang L., Chaturvedi A., Wichmann M., Wiehlmann L., Shahswar R., Damm F., Göhring G., Schlegelberger B., Schlenk R., Döhner K., Döhner H., Krauter J., Ganser A., Heuser M. . ‘Mutations in the cohesin complex in acute myeloid leukemia: Clinical and prognostic implications.’ Blood 123, Nr. 6: 914–920. doi: 10.1182/blood-2013-07-518746.
    • Heuser M., Schlarmann C., Dobbernack V., Panagiota V., Wiehlmann L., Walter C., Beier F., Ziegler P., Yun H., Kade S., Kirchner A., Huang L., Koenecke C., Eder M., Brümmendorf T., Dugas M., Ganser A., Thol F. . ‘Genetic characterization of acquired aplastic anemia by targeted sequencing.’ Haematologica 99, Nr. 9. doi: 10.3324/haematol.2013.101642.
    • Schoofs T, Rohde C, Hebestreit K, Klein HU, Göllner S, Schulze I, Lerdrup M, Dietrich N, Agrawal-Singh S, Witten A, Stoll M, Lengfelder E, Hofmann WK, Schlenke P, Büchner T, Hansen K, Berdel WE, Rosenbauer F, Dugas M, Müller-Tidow C. . ‘DNA methylation changes are a late event in acute promyelocytic leukemia and coincide with loss of transcription factor binding.’ Blood 121, Nr. 1: 178–87.
    • Lahti L, Schäfer M, Klein HU, Bicciato S, Dugas M. . ‘Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review.’ Briefings in Bioinformatics 14, Nr. 1: 27–35.
    • Staender S, Dugas M, Fritz F, Heindel W, Heuft G, Marziniak M, Pavenstaedt H, Pfleiderer B, Pogatzki-Zahn E, Schneider G, Suwelack B, Aken H, Wessling J, Wiendl H, Luger TA. . ‘COMPETENCE CENTER CHRONIC PRURITUS AT THE UNIVERSITY HOSPITAL OF MUNSTER: A DEDICATED CENTER WITH A DECADE OF EXPERIENCE IN MULTIDISCIPLINARY MEDICAL CARE.’ Acta dermato-venereologica 93, Nr. 5: 634.
    • Breil B, Watermann A, Haas P, Dziuballe P, Dugas M. . ‘Semantic enrichment of medical forms - semi-automated coding of ODM-elements via web services.’ Studies in Health Technology and Informatics 180: 1102–4.
    • Breil B, Watermann A, Haas P, Dziuballe P, Dugas M. . ‘Semantic enrichment of medical forms - semi-automated coding of ODM-elements via web services.’ Studies in Health Technology and Informatics 180: 1102–4.
    • Schäfer M, Lkhagvasuren O, Klein HU, Elling C, Wüstefeld T, Müller-Tidow C, Zender L, Koschmieder S, Dugas M, Ickstadt K. . ‘Integrative analyses for omics data: a Bayesian mixture model to assess the concordance of ChIP-chip and ChIP-seq measurements.’ Journal of Toxicology and Environmental Health, Part A: Current Issues 75, Nr. 8-10: 461–70.
    • Bruland P, Breil B, Fritz F, Dugas M. . ‘Interoperability in clinical research: from metadata registries to semantically annotated CDISC ODM.’ Studies in Health Technology and Informatics 180: 564–8. doi: 10.3233/978-1-61499-101-4-564.
    • Tschanter P, Schulz I, Baumer N, Kerstiens L, Berdel WE, Linhart H, Klein HU, Hebestreit K, Dugas M, Muller-Tidow C. . ‘DNMT3B overexpression is associated with prolonged survival in myeloid leukemic mouse model.’ Onkologie 35 6: 100–100.
    • Ghosh S, Bartenhagen C, Okpanyi V, Gombert M, Binder V, Teigler-Schlegel A, Bradtke J, Rottgers S, Dugas M, Borkhardt A. . ‘Next-generation sequencing reveals complex molecular rearrangements in MLLT10/MLL childhood AML.’ European Journal of Pediatrics 171, Nr. 9: 1426–1426.
    • Stander S, Blome C, Breil B, Bruland P, Darsow U, Dugas M, Evers A, Fritz F, Metz M, Phan NQ, Raap U, Reich A, Schneider G, Steinke S, Szepietowski J, Weisshaar E, Augustin M. . „Acquisitions of Pruritus: Curremt Standards and Implications for Practice (vol 63, pg 521, 2012).“ Der Hautarzt 63, Nr. 9: 723–723.
    • Wildenhain S, Ingenhag D, Ruckert C, Degistirici Ö, Dugas M, Meisel R, Hauer J, Borkhardt A. . ‘Homeobox protein HB9 binds to the prostaglandin E receptor 2 promoter and inhibits intracellular cAMP mobilization in leukemic cells.’ Journal of Biological Chemistry 287, Nr. 48: 40703–12.
    • Fischer U, Ruckert C, Hubner B, Eckermann O, Binder V, Bakchoul T, Schuster FR, Merk S, Klein HU, Führer M, Dugas M, Borkhardt A. . ‘CD34+ gene expression profiling of individual children with very severe aplastic anemia indicates a pathogenic role of integrin receptors and the proapoptotic death ligand TRAIL.’ Haematologica 97, Nr. 9: 1304–11.
    • Grossmann V, Bacher U, Kohlmann A, Artusi V, Klein HU, Dugas M, Schnittger S, Alpermann T, Kern W, Haferlach T, Haferlach C. . ‘EZH2 mutations and their association with PICALM-MLLT10 positive acute leukaemia.’ British Journal of Haematology 157, Nr. 3: 387–90.
    • Breil B, Kenneweg J, Fritz F, Bruland P, Doods D, Trinczek B, Dugas M. . ‘Multilingual medical data models in ODM format--a novel form-based approach to semantic interoperability between routine health-care and clinical research.’ Appl Clin Inf 3: 276––289. doi: 10.4338/ACI-2012-03-RA-0011.
    • Ständer S, Blome C, Breil B, Bruland P, Darsow U, Dugas M, Evers A, Fritz F, Metz M, Phan NQ, Raap U, Reich A, Schneider G, Steinke S, Szepietowski J, Weisshaar E, Augustin M. . „Assessment of pruritus - current standards and implications for clinical practice : Consensus paper of the Action Group Pruritus Parameter of the International Working Group on Pruritus Research (AGP).“ Der Hautarzt 63, Nr. 7: 521–31.
    • Schenk T, Chen WC, Göllner S, Howell L, Jin L, Hebestreit K, Klein HU, Popescu AC, Burnett A, Mills K, Casero RA, Marton L, Woster P, Minden MD, Dugas M, Wang JC, Dick JE, Müller-Tidow C, Petrie K, Zelent A. . ‘Inhibition of the LSD1 (KDM1A) demethylase reactivates the all-trans-retinoic acid differentiation pathway in acute myeloid leukemia.’ Nature Medicine 18, Nr. 4: 605–11.
    • Fritz F, Balhorn S, Riek M, Breil B, Dugas M. . ‘Qualitative and quantitative evaluation of EHR-integrated mobile patient questionnaires regarding usability and cost-efficiency.’ International Journal of Medical Informatics 81, Nr. 5: 303–13. doi: 10.1016/j.ijmedinf.2011.12.008.
    • Fritz F, Riek M, Breil B, Dugas M, Stander S. . ‘Mobile Capture of the DLQI (Dermatology Life Quality Index) for medical Care and Research in Dermatology.’ Experimental Dermatology 21, Nr. 3: e49–e49.
    • Dugas M, Dugas-Breit S. . ‘A generic method to monitor completeness and speed of medical documentation processes.’ Methods of Information in Medicine 51, Nr. 3: 252–7.
    • Tickenbrock L, Klein HU, Trento C, Hascher A, Göllner S, Bäumer N, Kuss R, Agrawal S, Bug G, Serve H, Thiede C, Ehninger G, Stadt UZ, McClelland M, Wang Y, Becker A, Koschmieder S, Berdel WE, Dugas M, Müller-Tidow C, for the SAL (Study Alliance Leukemia) Group. . ‘Increased HDAC1 deposition at hematopoietic promoters in AML and its association with patient survival.’ Leukemia Research 35, Nr. 5: 620–625. doi: 10.1016/j.leukres.2010.11.006.
    • Herzberg S, Rahbar K, Stegger L, Schäfers M, Dugas M. . ‘Concept and implementation of a computer-based reminder system to increase completeness in clinical documentation.’ International Journal of Medical Informatics 80, Nr. 5: 351–8.
    • Binder V, Bartenhagen C, Okpanyi V, Behrens B, Moehlendick B, Klein HU, Rieder H, Gombert M, Dugas M, Stoecklein NH, Borkhardt A. . ‘Whole Genome Amplification with Subsequent High Throughput Sequencing Allows Comprehensive Genome-Wide Analysis of Single Leukemic Cells.’ Blood 118, Nr. 21: 624–624.
    • Chen C, Bartenhagen C, Gombert M, Okpanyi V, Binder V, Roettgers S, Bradtke J, Teigler-Schlegel A, Fischer U, Harbott J, Hu JD, Dugas M, Borkhardt A. . ‘Somatic Structural Variations in Pediatric High Hyperdiploid Acute Lymphoblastic Leukemia Revealed by Paired-End Parallel Sequencing.’ Blood 118, Nr. 21: 184–184.
    • Schenk Tino, Goellner Stefanie, Chen WeihsuClai, Howell Louise, Jin Liqing, Hebestreit Katja, Klein Hans-Ulric, Burnett AlanK, Mills KenI, Marton Laurence, Casero Robert, Woster Patrick, Dugas Martin, Wang JeanCY, Dick JohnE, Mueller-Tidow Carsten, Petrie Kevin, Zelent Arthur. . ‘Histone H3 Methylation Mediates All-Trans-Retinoic Acid Responsiveness in Acute Myeloid Leukemia.’ Blood 118, Nr. 21: 103–103.
    • Rohde C, Schoofs T, Hebestreit K, Klein HU, Witten A, Stoll M, Lengfelder E, Hofmann WK, Schlenke P, Gollner S, Buchner T, Sauerland MC, Koschmieder S, Berdel WE, Dugas M, Muller-Tidow C. . ‘Identification of the PML-RAR alpha Associated DNA Methylome Using Reduced Representation Bisulfite Sequencing in Primary Patient Samples.’ Blood 118, Nr. 21: 1046–1047.
    • Herzberg S, Dugas M. . ‘Single source information systems can improve data completeness in clinical studies: an example from nuclear medicine.’ Studies in Health Technology and Informatics 169: 872–6.
    • Mate S, Bürkle T, Köpcke F, Breil B, Wullich B, Dugas M, Prokosch HU, Ganslandt T. . ‘Populating the i2b2 database with heterogeneous EMR data: a semantic network approach.’ Studies in Health Technology and Informatics 169: 502–6.
    • Grossmann V, Schnittger S, Schindela S, Klein HU, Eder C, Dugas M, Kern W, Haferlach T, Haferlach C, Kohlmann A. . ‘Strategy for robust detection of insertions, deletions, and point mutations in CEBPA, a GC-rich content gene, using 454 next-generation deep-sequencing technology.’ Journal of Molecular Diagnostics 13, Nr. 2: 129–136.
    • Schneider G, Schweer C, Doering S, Haier J, Heuft G, Fritz F, Dugas M. . ‘Psychooncological interventions -what do cancer patients aged 60 years or older wish for?’ Journal of Psychosomatic Research 70, Nr. 6: 612–613.
    • Fritz F, Phan NQ, Dugas M, Augustin M, Stander S. . ‘CORRELATION OF ITCH INTENSITY WITH QUALITY OF LIFE, ANXIETY AND DEPRESSION.’ Acta dermato-venereologica 91, Nr. 5: 636–637.
    • Fritz F, Phan NQ, Riek M, Breil B, Augustin M, Dugas M, Stander S. . ‘MEDICAL CARE OF CHRONIC PRURITUS PATIENTS: HOW TO EFFICIENTLY COLLECT PATIENT REPORTED OUTCOMES.’ Acta dermato-venereologica 91, Nr. 5: 636–636.
    • Fritz F, Ständer S, Breil B, Riek M, Dugas M. . ‘CIS-based registration of quality of life in a single source approach.’ BMC Medical Informatics and Decision Making 11: 26. doi: 10.1186/1472-6947-11-26.
    • Breil B, Fritz F, Thiemann V, Dugas M. . ‘Mapping turnaround times (TAT) to a generic timeline: a systematic review of TAT definitions in clinical domains.’ BMC Medical Informatics and Decision Making 11: 34. doi: 10.1186/1472-6947-11-34.
    • Breil B, Semjonow A, Müller-Tidow C, Fritz F, Dugas M. . ‘HIS-based Kaplan-Meier plots--a single source approach for documenting and reusing routine survival information.’ BMC Medical Informatics and Decision Making 11: 11. doi: 10.1186/1472-6947-11-11.
    • Schweer C, Doering S, Haier J, Heuft G, Fritz F, Dugas M, Schneider G. . „[Psychooncological interventions - what do cancer patients aged 60 years or older wish for?].“ Zeitschrift für Psychosomatische Medizin und Psychotherapie 57, Nr. 3: 223–32.
    • Bacher U, Kern W, Alpermann T, Schnittger S, Kohlmann A, Klein HU, Dugas M, Haferlach C, Haferlach T. . ‘Prognosis in patients with MDS or AML and bone marrow blasts between 10% and 30% is not associated with blast counts but depends on cytogenetic and molecular genetic characteristics.’ Leukemia 25, Nr. 8: 1361–1364.
    • Grossmann V, Kohlmann A, Klein HU, Schindela S, Schnittger S, Dicker F, Dugas M, Kern W, Haferlach T, Haferlach C. . ‘Targeted next-generation sequencing detects point mutations, insertions, deletions and balanced chromosomal rearrangements as well as identifies novel leukemia-specific fusion genes in a single procedure.’ Leukemia 25, Nr. 4: 671–680.
    • Klein HU, Bartenhagen C, Kohlmann A, Grossmann V, Ruckert C, Haferlach T, Dugas M. . ‘R453Plus1Toolbox: an R/Bioconductor package for analyzing Roche 454 Sequencing data.’ Bioinformatics 27, Nr. 8: 1162–1163.
    • Dziuballe Philipp, Forster Christian, Breil Bernhard, Thiemann Volker, Fritz Fleur, Lechtenbörger Jens, Vossen Gottfried, Dugas Martin. . ‘The Single Source Architecture x4T to Connect Medical Documentation and Clinical Research.’ In User Centred Networked Health Care - Proceedings of MIE 2011, edited by Moen Anne, Andersen Stig Kjær, Aarts Jos, Hurlen Petter, 902–906.: IOS Press. doi: 10.3233/978-1-60750-806-9-902.
    • Herzberg S, Rahbar K, Stegger L, Schäfers M, Dugas M. . ‘Concept and implementation of a single source information system in nuclear medicine for myocardial scintigraphy (SPECT-CT data).’ Applied Clinical Informatics 2010, Nr. 1: 50–67. doi: 10.4338/ACI-2009-12-RA-0017.
    • Okamoto R, Ogawa S, Nowak D, Kawamata N, Akagi T, Kato M, Sanada M, Weiss T, Haferlach C, Dugas M, Ruckert C, Haferlach T, Koeffler HP. . ‘Genomic profiling of adult acute lymphoblastic leukemia by single nucleotide polymorphism oligonucleotide microarray and comparison to pediatric acute lymphoblastic leukemia.’ Haematologica 95, Nr. 9.
    • Hömme C, Krug U, Tidow N, Schulte B, Kühler G, Serve H, Bürger H, Berdel WE, Dugas M, Heinecke A, Büchner T, Koschmieder S, Müller-Tidow C. . ‘Low SMC1A protein expression predicts poor survival in acute myeloid leukemia.’ Oncol Rep 24, Nr. 1: 47–56.
    • Müller-Tidow C, Klein HU, Hascher A, Isken F, Tickenbrock L, Thoennissen N, Agrawal-Singh S, Tschanter P, Disselhoff C, Wang Y, Becker A, Thiede C, Ehninger G, Zur Stadt U, Koschmieder S, Seidl M, Müller FU, Schmitz W, Schlenke P, McClelland M, Berdel WE, Dugas M, Serve H. . ‘Profiling of histone H3 lysine 9 trimethylation levels predicts transcription factor activity and survival in acute myeloid leukemia.’ Blood 116: 3564–71. doi: 10.1182/blood-2009-09-240978.
    • Dugas-Breit S, Przybilla B, Dugas M, Arnold A, Pfundstein G, Küchenhoff H, Ruëff F. . ‘Serum concentration of baseline mast cell tryptase: evidence for a decline during long-term immunotherapy for Hymenoptera venom allergy.’ Clin Exp Allergy .
    • Dziuballe P, Herzberg S, Breil B, Fritz F, Dugas M. . „Single-Source-Ansätze am Universitätsklinikum Münster.“ mdi 2010, Nr. 2: 57–59.
    • Dugas M, Lange M, Müller-Tidow C, Kirchhof P, Prokosch HU. . ‘Using routine data from hospital information systems to facilitate recruitment in clinical research.’ Clinical Trials 7, Nr. 2: 183–189.
    • Dugas M, Lange M, Müller-Tidow C, Kirchhof P, Prokosch HU. . ‘Routine data from hospital information systems can support patient recruitment for clinical studies.’ Clinical Trials 7, Nr. 2: 183–9. doi: 10.1177/1740774510363013.
    • Hömme C, Krug U, Tidow N, Schulte B, Kühler G, Serve H, Bürger H, Berdel WE, Dugas M, Heinecke A, Büchner T, Koschmieder S, Müller-Tidow C. . ‘Low SMC1A protein expression predicts poor survival in acute myeloid leukemia.’ Oncology Reports 24, Nr. 1: 47–56.
    • Toddenroth D, Dugas M, Kennerknecht I. . ‘Sorting chromosomes as a software-based exercise.’ Medical Education 44, Nr. 11: 1127. doi: 10.1111/j.1365-2923.2010.03845.x.
    • Dugas-Breit S, Przybilla B, Dugas M, Arnold A, Pfundstein G, Küchenhoff H, Ruëff F. . ‘Serum concentration of baseline mast cell tryptase: evidence for a decline during long-term immunotherapy for Hymenoptera venom allergy.’ Clinical and Experimental Allergy 40, Nr. 4: 643–9. doi: 10.1111/j.1365-2222.2009.03436.x.
    • Bartenhagen C, Klein HU, Ruckert C, Jiang X, Dugas M. . ‘Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data.’ Trials 11: 567–577. doi: 10.1186/1471-2105-11-567.
    • Okamoto R, Ogawa S, Nowak D, Kawamata N, Akagi T, Kato M, Sanada M, Weiss T, Haferlach C, Dugas M, Ruckert C, Haferlach T, Koeffler HP. . ‘Genomic profiling of adult acute lymphoblastic leukemia by single nucleotide polymorphism oligonucleotide microarray and comparison to pediatric acute lymphoblastic leukemia.’ Haematologica 95, Nr. 9: 1481–8. doi: 10.3324/haematol.2009.011114.
    • Eminaga O, Hinkelammert R, Semjonow A, Neumann J, Abbas M, Koepke T, Bettendorf O, Eltze E, Dugas M. . ‘Clinical map document based on XML (cMDX): document architecture with mapping feature for reporting and analysing prostate cancer in radical prostatectomy specimens.’ BMC Medical Informatics and Decision Making 10: 71. doi: 10.1186/1472-6947-10-71.
    • Kohlmann A, Bullinger L, Thiede C, Schaich M, Schnittger S, Döhner K, Dugas M, Klein HU, Döhner H, Ehninger G, Haferlach T. . ‘Gene expression profiling in AML with normal karyotype can predict mutations for molecular markers and allows novel insights into perturbed biological pathways.’ Leukemia 24, Nr. 6: 1216–1220. doi: 10.1038/leu.2010.73.
    • Malyar V, Busch V, Hillebrand U, Reiermann S, Kliche K, Breil B, Dugas M, Suwelack B. . ‘PROGNOSTIC FACTORS FOR AND PREVALENCE OF BK-VIRUS INFECTION IN A CAUCASIAN RENAL TRANSPLANT POPULATION.’ Transplant International 23 Suppl.: 0112 –.
    • Fritz F, Ständer S, Breil B, Dugas M. . ‘Steps towards single source--collecting data about quality of life within clinical information systems.’ Studies in Health Technology and Informatics 160, Nr. Pt 1: 188–92.
    • Breil B, Fritz F, Thiemann V, Dugas M. . ‘Multidisciplinary education in medical informatics--a course for medical and informatics students.’ Studies in Health Technology and Informatics 160, Nr. Pt 1: 581–4.
    • Dugas M, Breil B, Thiemann V, Lechtenbörger J, Vossen G. . ‘Single Source Informationssysteme - Nutzung von Routinedaten für die klinische Forschung.’ Contributed to the 54. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS), Essen. doi: 10.3205/09gmds287.
    • Bulk E, Sargin B, Krug U, Hascher A, Jun Y, Knop M, Kerkhoff C, Gerke V, Liersch R, Mesters RM, Hotfilder M, Marra A, Koschmieder S, Dugas M, Berdel WE, Serve H, Müller-Tidow C. . ‘S100A2 induces metastasis in non-small cell lung cancer.’ Clinical Cancer Research 15, Nr. 1: 22–9. doi: 10.1158/1078-0432.CCR-08-0953.
    • Krug U, Yasmeen A, Beger C, Bäumer N, Dugas M, Berdel WE, Müller-Tidow C. . ‘Cyclin A1 regulates WT1 expression in acute myeloid leukemia cells.’ International Journal of Oncology 34, Nr. 1: 129–36.
    • Akagi T, Ogawa S, Dugas M, Kawamata N, Yamamoto G, Nannya Y, Sanada M, Miller CW, Yung A, Schnittger S, Haferlach T, Haferlach C, Koeffler HP. . ‘Frequent genomic abnormalities in acute myeloid leukemia/myelodysplastic syndrome with normal karyotype.’ Haematologica 94, Nr. 2: 213–223. doi: 10.3324/haematol.13024.
    • Yin D, Ogawa S, Kawamata N, Tunici P, Finocchiaro G, Eoli M, Ruckert C, Huynh T, Liu G, Kato M, Sanada M, Jauch A, Dugas M, Black KL, Koeffler HP. . ‘High-resolution genomic copy number profiling of glioblastoma multiforme by single nucleotide polymorphism DNA microarray.’ Molecular Cancer Research 7, Nr. 5: 665–677. doi: 10.1158/1541-7786.MCR-08-0270.
    • Dugas M, Amler S, Lange M, Gerss J, Breil B, Köpcke W. . ‘Estimation of patient accrual rates in clinical trials based on routine data from hospital information systems.’ Methods of Information in Medicine 48, Nr. 3: 263–266. doi: 10.3414/ME0582.
    • Haferlach T, Kohlmann A, Klein HU, Ruckert C, Dugas M, Williams PM, Kern W, Schnittger S, Bacher U, Löffler H, Haferlach C. . ‘AML with translocation t(8;16)(p11;p13) demonstrates unique cytomorphological, cytogenetic, molecular and prognostic features.’ Leukemia 23, Nr. 5: 934–943. doi: 10.1038/leu.2008.388.
    • Akagi T, Shih LY, Ogawa S, Gerss J, Moore SR, Schreck R, Kawamata N, Liang DC, Sanada M, Nannya Y, Deneberg S, Zachariadis V, Nordgren A, Song JH, Dugas M, Lehmann S, Koeffler HP. . ‘Single nucleotide polymorphism genomic arrays analysis of t(8;21) acute myeloid leukemia cells.’ Haematologica 94, Nr. 9: 1301–1306. doi: 10.3324/haematol.2009.005744.
    • Schäfer M, Schwender H, Merk S, Haferlach C, Ickstadt K, Dugas M. . ‘Integrated analysis of copy number alterations and gene expression: a bivariate assessment of equally directed abnormalities.’ Bioinformatics 25, Nr. 24: 3228–3235. doi: 10.1093/bioinformatics/btp592.
    • Breil B, Semjonow A, Dugas M. . ‘HIS-based electronic documentation can significantly reduce the time from biopsy to final report for prostate tumours and supports quality management as well as clinical research.’ BMC Med Inform Decis Mak. 9, Nr. 1: 5.
    • Dugas M, Thun S, Frankewitsch T, Heitmann KU. . ‘LOINC® Codes for Hospital Information System documents - a case study.’ J Am Med Inform Assoc 16, Nr. 3: 400–403.
    • Breil B, Dugas M. . ‘Transferring HIS data to population-based cancer registries - concept and first implementations.’ Studies in Health Technology and Informatics 150: 86–90.
    • Nowak D, Kawamata N, Niebuhr B, Nowak V, Mossner M, Nahar RR, Thoennissen NH, Iwanski GB, Stocking C, Dugas M, Hofmann WK, Muschen M, Koeffler PH. . ‘The Pax5 Fusion Product Pax5-C20orf112 Causes Downregulation of Pre-B Cell Receptor Genes and Induces Differential Proliferation Patterns in B-Lymphoblastic Cell Lines.’ Blood 114, Nr. 22: 526–527.
    • Dugas M, Breil B, Thiemann V, Lechtenbörger J, Vossen G. . ‘Single Source Information Systems to Connect Patient Care and Clinical Research.’ In Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009 – The XXIInd International Congress of the European Federation for Medical Informatics, edited by Klaus-Peter Adlassnig, Bernd Blobel, John Mantas, Izet Masic, 61–65.: IOS Press. doi: 10.3233/978-1-60750-044-5-61.
    • Isken F, Steffen B, Merk S, Dugas M, Markus B, Tidow N, Zühlsdorf M, Illmer T, Thiede C, Berdel WE, Serve H, Müller-Tidow C. . ‘Identification of acute myeloid leukaemia associated microRNA expression patterns.’ British Journal of Haematology 140, Nr. 2: 153–61.
    • Dugas M, Eckholt M, Bunzemeier H. . ‘Benchmarking of hospital information systems: monitoring of discharge letters and scheduling can reveal heterogeneities and time trends.’ BMC Medical Informatics and Decision Making 8: 15. doi: 10.1186/1472-6947-8-15.
    • Dugas M, Lange M, Berdel WE, Müller-Tidow C. . ‘Workflow to improve patient recruitment for clinical trials within hospital information systems - a case-study.’ Trials 9: 2. doi: 10.1186/1745-6215-9-2.
    • Heer IM, Kumper C, Vogtle N, Muller-Egloff S, Dugas M, Strauss A. . ‘Analysis of factors influencing the ultrasonic fetal weight estimation.’ Fetal Diagnosis and Therapy 23, Nr. 3: 204–210. doi: 10.1159/000116742.
    • Kohlmann A, Bullinger L, Thiede C, Schaich M, Schnittger S, DohnerMd K, Dugas M, Dohner H, Ehninger G, Haferlach T. . ‘Gene Expression Profiling in AML with Normal Karyotype: A Multicenter Study Investigating Molecular Markers in 252 Cases.’ Blood 112, Nr. 11: 278–279.
    • Merk S, Dugas M. . ‘Application of microarray technology for the analysis of gene expression in veterinary medicine.’ Berl. Münch. Tierärztl. Wochenschr : 179–188.
    • Müller-Tidow C, Dugas M. . ChIP- chip microarrays to study the epigenome in leukemia European Leukemia Network of Excellence, Information Letter, Nr. 5, .
    • Haferlach C, Rauhut S, Merk S, Dicker F, Schnittger S, Kern W, Dugas M, Haferlach T. . ‘Translocation t(14;19)(q32;q13) Is a Rare Abnormality in CLL and Associated with Trisomy 12, an Unmutated IgVH Status and a Distinct Gene Expression Profile.’ Contributed to the ASH 2007.
    • Russ AC, Dugas M, Schmid-Fetzer SC, Schlenk RF, Pollack JR, Dohner K, Schmid M, Dohner H, Bullinger L. „Combined Analysis of Valproic Acid Induced MicroRNA and Gene Expression Changes in Acute Myeloid Leukemia.“ contributed to the ASH 2007, .
    • Haferlach C, Merk S, Rauhut S, Schnittger S, Kern W, Dugas M, Haferlach T. „An Approach to Virtual Karyotyping for Unbalanced Rearrangements Based on Gene Expression Data.“ contributed to the ASH 2007, .
    • Akagi T, Ogawa S, Yamamoto G, Nannya Y, Sanada M, Kawamata N, Miller CW, Dugas M, Schnittger S, Haferlach T, Haferlach C, Koeffler HP. „Numerous Genomic Abnormalities in AML with Normal Karyotype.“ contributed to the ASH 2007, .
    • Haferlach C, Rauhut S, Merk S, Dicker F, Schnittger S, Kern W, Dugas M, Haferlach T. „Gain of the Short Arm of Chromosome 2 Is a New Recurring Chromosome Aberration in CLL Which Is Significantly Associated with an Unmutated IgGVH Status and a Complex Aberrant Karyotype and Leads to a Higher Expression of Genes Located on 2P.“ contributed to the ASH 2007, .
    • Haferlach T, Haferlach C, Kohlmann A, Wieczorek L, Dugas M, Merk S, Kern W, Schnittger S. „Microarray Analysis Detects Unique Expression Pattern for NPM1-Mutated AML with Normal Karyotype and Reveals Pathobiological Insights.“ contributed to the ASH 2007, .
    • Haferlach C, Merk S, Rauhut S, Schnittger S, Kern W, Dugas M, Haferlach T. . ‘An approach to virtual karyotyping for unbalanced rearrangements based on gene expression data.’ Blood 110, Nr. 11: 885.
    • Vempati S, Reindl C, Kaza SK, Kern R, Malamoussi T, Dugas M, Mellert G, Schnittger S, Hiddemann W, Spiekermann K. . ‘Arginine 595 is duplicated in patients with acute leukemias carrying internal tandem duplications of FLT3 and modulates its transforming potential.’ Blood 110, Nr. 2: 686–694. doi: 10.1182/blood-2006-10-053181.
    • Haferlach C, Raubut S, Merk S, Dicker F, Schnittger S, Kern W, Dugas M, Haferlach T. . ‘Gain of the short arm of chromosome 2 is a new recurring chromosome aberration in CLL which is significantly associated with an unmutated IgGVH status and a complex aberrant karyotype and leads to a higher expression of genes located on 2P.’ Blood 110, Nr. 11: 2075.
    • Haferlach T, Haferlach C, Kohlmann A, Wieczorek L, Dugas M, Merk S, Kern W, Schnittger S. . ‘Microarray analysis detects unique expression pattern for NPM1-mutated AML with normal karyotype and reveals pathobiological insights.’ Blood 110, Nr. 11: 2382.
    • Akagi T, Ogawa S, Yamamoto G, Nannya Y, Sanada M, Kawamata N, Miller CW, Dugas M, Schnittger S, Haferlach T, Haferlach C, Koeffler HP. . ‘Numerous genomic abnormalities in AML with normal karyotype.’ Blood 110, Nr. 11: 1811.
    • Haferlach C, Rauhut S, Merk S, Dicker F, Schnittger S, Kern W, Dugas M, Haferlach T. . ‘Translocation t(14;19)(q32;q13) is a rare abnormality in CLL and associated with trisomy 12, an unmutated IgVH status and a distinct gene expression profile.’ Blood 110, Nr. 11: 4703.
    • Dugas M, Weninger F, Merk S, Kohlmann A, Haferlach T. . ‘A Generic Concept for Large-scale Microarray Analysis Dedicated to Medical Diagnostics.’ Methods Inf Med 45, Nr. 2: 146–152.
    • Schoch C, Kohlmann A, Dugas M, Kern W, Schnittger S, Haferlach T. . ‘Impact of trisomy 8 on expression of genes located on chromosome 8 in different AML subgroups.’ Genes Chromosomes Cancer 45, Nr. 12: 1164–1168.
    • Isken F, Steffen B, Markus B, Homme C, Kosel D, Illmer T, Merk S, Dugas M, Berdel WE, Serve H, Muller-Tidow C. . ‘Distinct expression patterns of human microRNAs in myeloid differentiation and acute myeloid leukemia.’ Blood 108, Nr. 11: 632A–632A.
    • Bocionek S, Dugas M. . ‘Hospital Information Systems.’ In Imaging Systems for Medical Diagnostics, 943–989. Publicis Publishing.
    • Chouker A, Martignoni A, Schauer RJ, Dugas M, Schachtner T, Kaufmann I, Setzer F, Rau HG, Lohe F, Jauch KW, Peter K, Thiel M. . ‘Alpha-gluthathione S-transferase as an early marker of hepatic ischemia/reperfusion injury after liver resection.’ World J Surg 29, Nr. 4: 528–534.
    • Haferlach T, Kohlmann A, Schnittger S, Dugas M, Hiddemann W, Kern W, Schoch C. . ‘AML M3 and AML M3 variant each have a distinct gene expression signature but also share patterns different from other genetically defined AML subtypes.’ Genes Chromosomes Cancer 43, Nr. 2: 113–127.
    • Dugas-Breit S, Schopf P, Dugas M, Schiffl H, Rueff F, Przybilla B. . ‘Baseline serum levels of mast cell tryptase are raised in hemodialysis patients and associated with severity of pruritus.’ J Dtsch Dermatol Ges 3, Nr. 5: 343–347.
    • Trumm C, Dugas M, Wirth S, Treitl M, Lucke A, Kuttner B, Pander E, Clevert DA, Glaser C, Reiser M. . ‘Digital teaching file Concept, implementation, and experiences in a university setting.’ Radiologe 45, Nr. 8: 724–734.
    • Schoch C, Kohlmann A, Dugas M, Kern W, Hiddemann W, Schnittger S, Haferlach T. . ‘Genomic gains and losses influence expression levels of genes located within the affected regions: a study on acute myeloid leukemias with trisomy 8, 11, or 13, monosomy 7, or deletion 5q.’ Leukemia 19, Nr. 7: 1224–1228.
    • Haferlach T, Kohlmann A, Schnittger S, Dugas M, Hiddemann W, Kern W, Schoch C. . ‘Global approach to the diagnosis of leukemia using gene expression profiling.’ Blood 106, Nr. 4: 1189–1198.
    • Kohlmann A, Schoch C, Dugas M, Schnittger S, Hiddemann W, Kern W, Haferlach T. . ‘New insights into MLL gene rearranged acute leukemias using gene expression profiling: shared pathways, lineage commitment, and partner genes.’ Leukemia 19, Nr. 6: 953–964.
    • Kohlmann A, Schoch C, Dugas M, Rauhut S, Weninger F, Schnittger S, Kern W, Haferlach T. . ‘Pattern robustness of diagnostic gene expression signatures in leukemia.’ Genes Chromosomes Cancer 42, Nr. 3: 299–307.
    • Barth AS, Merk S, Arnoldi E, Zwermann L, Kloos P, Gebauer M, Steinmeyer K, Bleich M, Kaab S, Hinterseer M, Kartmann H, Kreuzer E, Dugas M, Steinbeck G, Nabauer M. . ‘Reprogramming of the human atrial transcriptome in permanent atrial fibrillation: expression of a ventricular-like genomic signature.’ Circ Res 96, Nr. 9: 1022–1029.
    • Chouker A, Schachtner T, Schauer R, Dugas M, Lohe F, Martignoni A, Pollwein B, Niklas M, Rau HG, Jauch KW, Peter K, Thiel M. . ‘Effects of Pringle manoeuvre and ischaemic preconditioning on haemodynamic stability in patients undergoing elective hepatectomy: a randomized trial.’ Br J Anaesth 93, Nr. 2: 204–211.
    • Chouker A, Martignoni A, Dugas M, Eisenmenger W, Schauer R, Kaufmann I, Schelling G, Lohe F, Jauch KW, Peter K, Thiel M. . ‘Estimation of liver size for liver transplantation: the impact of age and gender.’ Liver Transpl 10, Nr. 5: 678–685.
    • Kaab S, Barth AS, Margerie D, Dugas M, Gebauer M, Zwermann L, Merk S, Pfeufer A, Steinmeyer K, Bleich M, Kreuzer E, Steinbeck G, Nabauer M. . ‘Global gene expression in human myocardium-oligonucleotide microarray analysis of regional diversity and transcriptional regulation in heart failure.’ J Mol Med 82, Nr. 5: 308–316.
    • Xiang W, Windl O, Wunsch G, Dugas M, Kohlmann A, Dierkes N, Westner IM, Kretzschmar HA. . ‘Identification of differentially expressed genes in scrapie-infected mouse brains by using global gene expression technology.’ J Virol 78, Nr. 20: 11051–11060.
    • Dugas M, Merk S, Breit S, Dirschedl P. . ‘mdclust - Exploratory Microarray Analysis by Multidimensional Clustering.’ Bioinformatics 20, Nr. 6: 931–936.
    • Kohlmann A, Schoch C, Schnittger S, Dugas M, Hiddemann W, Kern W, Haferlach T. . ‘Pediatric acute lymphoblastic leukemia (ALL) gene expression signatures classify an independent cohort of adult ALL patients.’ Leukemia 18, Nr. 1: 63–71.
    • Martin-Sanchez F, Iakovidis I, Nørager S, Maojo V, de Groen P, van der Lei J, Jones T, Abraham-Fuchs K, Apweiler R, Babic A, Baud R, Breton V, Cinquin P, Doupi P, Dugas M, Eils R, Engelbrecht R, Ghazal P, Jehenson P, Kulikowski C, Lampe K, de Moor G, Orphanoudakis S, Rossing N, Sarachan B, Sousa A, Spekowius G, Thireos G, Zahlmann G, Zvarova J, Hermosilla I, Vicente FJ. . ‘Synergy between medical informatics and bioinformatics: facilitating genomic medicine for future health care.’ Journal of Biomedical Informatics 37, Nr. 1: 30–42.
    • Heer IM, Middendorf K, Muller-Egloff S, Dugas M, Strauss A. . ‘Ultrasound training: the virtual patient.’ Ultrasound Obstet Gynecol 24, Nr. 4: 440–444.
    • Dugas M, Merk S, Breit S, Schoch C, Haferlach T, Kääb S. . ‘Bioinformatics for Medical Diagnostics: Assessment of Microarray Data in the Context of Clinical Databases.’ Contributed to the AMIA 2003 Annual Symposium.
    • Schoch C, Schnittger S, Kern W, Dugas M, Hiddemann W, Haferlach T. . ‘Acute myeloid leukemia with recurring chromosome abnormalities as defined by the WHO-classification: incidence of subgroups, additional genetic abnormalities, FAB subtypes and age distribution in an unselected series of 1,897 patients with acute myeloid leukemia.’ Haematologica 88, Nr. 3: 351–352.
    • Dugas M, Weinzierl S, Pecar A, Endres S, Hasford J. . ‘Design and implementation of a common drug information database for a university hospital.’ Pharm World Sci 25, Nr. 4: 156–161.
    • Hoffmann R, Seidl T, Bruno L, Dugas M. . ‘Developmental markers of B cells are superior to those of T cells for identification of stages with distinct gene expression profiles.’ J Leukoc Biol 74, Nr. 4: 602–610. doi: 10.1189/jlb.0203085.
    • Reithmann C, Hahnefeld A, Remp T, Dorwarth U, Dugas M, Steinbeck G, Hoffmann E. . ‘Electroanatomic mapping of endocardial right ventricular activation as a guide for catheter ablation in patients with arrhythmogenic right ventricular dysplasia.’ Pacing Clin Electrophysiol 26, Nr. 6: 1308–1316.
    • Ghoreschi K, Thomas P, Breit S, Dugas M, Mailhammer R, van Eden W, van der Zee R, Biedermann T, Prinz J, Mack M, Mrowietz U, Christophers E, Schlöndorff D, Plewig G, Sander C, Röcken M. . ‘Interleukin 4-therapy of psoriasis induces Th2-responses and improves human autoimmune disease.’ Nature Medicine 9, Nr. 1: 40–46. doi: 10.1038/nm804.
    • Kohlmann A, Schoch C, Schnittger S, Dugas M, Hiddemann W, Kern W, Haferlach T. . ‘Molecular characterization of acute leukemias by use of microarray technology.’ Genes, Chromosomes and Cancer 37: 396–405.
    • Dorwarth U, Fiek M, Remp T, Reithmann C, Dugas M, Steinbeck G, Hoffmann E. . ‘Radiofrequency catheter ablation: different cooled and noncooled electrode systems induce specific lesion geometries and adverse effects profiles.’ Pacing Clin Electrophysiol : 1438–1445.
    • Reithmann C, Dorwarth U, Dugas M, Hahnefeld A, Ramamurthy S, Remp T, Steinbeck G, Hoffmann E. . ‘Risk factors for recurrence of atrial fibrillation in patients undergoing hybrid therapy for antiarrhythmic drug-induced atrial flutter.’ Eur Heart J 24, Nr. 13: 1264–1272.
    • Svaldi M, Lanthaler AJ, Dugas M, Lohse P, Pescosta N, Straka C, Mitterer M. . ‘T-cell receptor excision circles: a novel prognostic parameter for the outcome of transplantation in multiple myeloma patients.’ Br J Haematol 122, Nr. 5: 795–801.
    • Dugas M, Messerer D, Hasford J, Haferlach T, Heinze B, Ludwig W, Rieder H, Schoch R, Schwartz S, Thiel E. . ‘The German Multicentre Study Group for Adult ALL (GMALL): Recruitment in comparison to ALL incidence and its impact on study results.’ Annals of Hematology 82: 83–87.
    • Dorwarth U, Frey B, Dugas M, Matis T, Fiek M, Schmoeckel M, Remp T, Durchlaub I, Gerth A, Steinbeck G, Hoffmann E. . ‘Transvenous defibrillation leads: high incidence of failure during long-term follow-up.’ J Cardiovasc Electrophysiol 14, Nr. 1: 38–43.
    • Hege I, Radon K, Dugas M, Scharrer E, Nowak D. . ‘Web-based training in occupational medicine.’ International Archives of Occupational and Environmental Health 76: 50–54.
    • Kohlmann A, Schoch C, Schnittger S, Dugas M, Hiddemann W, Kern W, Haferlach T. . ‘Molecular characterization of acute leukemias by use of microarray technology.’ Genes, Chromosomes and Cancer 37, Nr. 4: 396–405.
    • Dugas M. . „Datenerhebung im Internet - Potential, Probleme und Perspektiven.“ In Moderne Gesundheitskommunikation - Von der Arzt-Patient-Interaktion zur E-Health. Hans Huber Verlag.
    • Dugas M, Reng M. . ‘XML-based Knowledge Management for Teleteaching and Telelearning in Medicine.’ Contributed to the 7th International Conference on the Medical Aspects of Telemedicine: Integration of Health Telematics into Medical Practice.
    • Schnittger S, Schoch C, Dugas M, Kern W, Staib P, Wuchter C, Löffler H, Sauerland CM, Serve H, Büchner T, Haferlach T, Hiddemann W. . ‘Analysis of FLT3 length mutations in 1003 patients with AML: relation to cytogenetics, fab subtype, and prognosis in the AMLCG-study and usefullness as a marker for detection of minimal residual disease.’ Blood 100, Nr. 1: 59–66.
    • Dugas M, Hoffmann E, Janko S, Hahnewald S, Matis T, Miller J, v Bary C, Farnbacher A, Vogler V, Überla K. . ‘Complexity of Biomedical Data Models in Cardiology: The Intranet-based Atrial Fibrillation Registry.’ Computer Methods and Programs in Biomedicine 68: 49–61.
    • Mori K, Scheidler J, Helmberger T, Holzknecht N, Schauer R, Schirren CA, Bittmann I, Dugas M, Reiser M. . ‘Detection of Malignant Hepatic Lesions Before Orthotopic Liver Transplantation: Accuracy of Ferumoxides-Enhanced MR Imaging.’ Am J Roentgenol 179, Nr. 4: 1045–1051.
    • Kufer P, Zippelius A, Lutterbüse R, Mecklenburg I, Enzmann T, Montag A, Weckermann D, Passlick B, Prang N, Reichardt P, Dugas M, Köllermann MW, Pantel K, Riethmüller G. . ‘Heterogeneous Expression of MAGE-A Genes in Occult Disseminated Tumor Cells: A novel multimarker RT-PCR for diagnosis of micrometastatic disease.’ Cancer Research 62: 251–261.
    • Dugas M, Schoch C, Schnittger S, Kohlmann A, Kern W, Haferlach T, Überla K. . ‘Impact of integrating clinical and genetic information.’ Silico Biology .
    • Dugas M, Schauer R, Volk A, Rau H. . ‘Interactive decision support in hepatic surgery.’ BMC Med Inform Decis Mak 2, Nr. 1.
    • Schoch C, Haferlach T, Bursch S, Gerstner D, Schnittger S, Dugas M, Kern W, Loffler H, Hiddemann W. . ‘Loss of genetic material is more common than gain in acute myeloid leukemia with complex aberrant karyotype: A detailed analysis of 125 cases using conventional chromosome analysis and fluorescence in situ hybridization including 24-color FISH.’ Genes Chromosomes Cancer 35: 20–29.
    • Hoffmann R, Seidl T, Dugas M. . ‘Profound effect of normalization on detection of differentially expressed genes in oligonucleotide microarray data analysis.’ Genome Biology 3, Nr. 7. doi: 10.1186/gb-2002-3-7-research0033.
    • Schnittger S, Schoch C, Dugas M, Kern W, Staib P, Wuchter C, Löffler H, Sauerland CM, Serve H, Büchner T, Haferlach T, Hiddemann W. . ‘Analysis of FLT3 length mutations in 1003 patients with acute myeloid leukemia: correlation to cytogenetics, FAB subtype, and prognosis in the AMLCG study and usefulness as a marker for the detection of minimal residual disease.’ Blood 100, Nr. 1: 59–66.
    • Dugas M. . „Perspektiven für ein patientenorientiertes Informations- und Kommunikationsmanagement durch das Computerbasierte Patientendossier.“ Beitrag präsentiert auf der Schweizerischen Gesellschaft für Medizinische Informatik, Basel.
    • Dugas M , Schoch C, Schnittger S, Kern W, Haferlach T, Messerer D, Überla K. . ‘Impact of integrating clinical and genetic information.’ Contributed to the German Conference on Bioinformatics (GCB 2001).
    • Dugas M, Christ F, Demetz F, Batschkus M, Überla K. . ‘Interactive Computer-Based-Training in Medicine - an example from Emergency Medicine.’ Contributed to the Proceedings of the Slice of Life 2001 & Computers in Healthcare Symposium, Berlin.
    • Radon K, Hege I, Scharrer E, Dugas M, Fischer M, Nowak D. . „Vorstellung des computerunterstützten Lernprogramms „Co-LAB“ für das Fach Arbeitsmedizin.“ Beitrag präsentiert auf der 41. Jahrestagung der Deutschen Gesellschaft für Arbeitsmedizin und Umweltmedizin e.V..
    • Dugas M, Schoch C, Schnittger S, Haferlach T, Danhauser-Riedl S, Hiddemann W, Messerer D, Überla K. . ‘A comprehensive leukemia database: Integration of cytogenetics, molecular genetics and microarray data with clinical information, cytomorphology and immunphenotyping.’ Leukemia 15: 1805–1810.
    • Dugas M, Trumm C, Stäbler A, Pander E, Hundt W, , Scheidler J, Brüning R, Helmberger T, Waggershauser T, Matzko M, Reiser M. . ‘Case-oriented computer-based-training in radiology: concept, implementation and evaluation.’ BMC Medical Education .
    • Schoch C, Kern W, Krawitz P, Dugas M, Schnittger S, Haferlach T, Hiddemann W. . ‘Dependence of age-specific incidence of acute myeloid leukemia on karyotype.’ Blood 98: 3500.
    • Dugas M, Weinzierl S, Pecar A, Hasford J. . ‘Intranet Database for a University Hospital Drug Information Center.’ American Journal of Health-System Pharmacy 58: 799–802.
    • Dugas M, Kuhn K, Kaiser N, Überla K. . ‘XML-based visualization of design and completeness in medical databases.’ Medical Informatics and the Internet in Medicine 26: 237–250.
    • Dugas M, Hoffmann E, Janko S, Hahnewald S, Matis T, Überla K. . ‘XML-based Visual Data Mining in Medicine.’ Medinfo 10, Nr. 2: 1324–1328.
    • Dugas M, Überla K. . ‘An Intranet Tool for XML-based Data Modelling in Medicine .’ Medical Infobahn for Europe 2000, Nr. 77: 983–987.
    • Dugas M, Demetz F, Christ F. . „Online-Kurs Notfallmedizin: Kurrikulare Integration von Computer-Based-Training .“ Der Anaesthesist 2000, Nr. 49: 881–886.
    • Dugas M, Überla K. . ‘Intranet Based Clinical Workstations.’ In Medical Informatics, Biostatistics and Epidemiology for Efficient Health Care and Medical Research, 235–238. München: Urban und Vogel.
    • Heitmann KU, Morzinck T, Mösges R, Dugas M. . „Intranet-Anwendungen am Universitätsklinikum Köln.“ In Herausforderungen in der Informationsverarbeitung an den Universitäten des Landes NRW, 58–65. Aachen: Shaker Verlag.
    • Dugas M, Scheichenzuber J, Hornung H. . ‘An Intranet-Based System for Quality Assurance in Surgery. .’ J Med Syst 23, Nr. 1: 13–19.
    • Dugas M, Noachtar S. . ‘Computer-Based-Training in der Neurologie mit Intranet-Technik am Beispiel Epilepsie. Biomedical Journal 1999, 53(1), 27-29.’ Biomedical Journal 53, Nr. 1: 27–29.
    • Dugas M, Bosch R, Paulus R, Lenz T. . ‘Intranet-based multi-purpose medical records in Orthopedics .’ Medical Informatics 24, Nr. 4: 269–275.
    • Dugas M, Batschkus MM, Lyon HC Jr. . ‘Mr. Lewis on the web - how to convert learning resources for intranet-technology .’ Medical Education 33, Nr. 1: 42–46.
    • Batschkus MM, Gumpinger M, Dugas M. . „Innovative Lösungen für eine transparente Nutzerführung zu Online- und Offline-Angeboten an Lernstationen für Studenten.“ In Computer Based Training in der Medizin Technik - Evaluation-Implementation. Aachen: Shaker Verlag.
    • Dugas M. . ‘An intranet-based information system for nurses .’ MD Computing 15, Nr. 3: 158–161.
    • Dugas M, Demant T. . „Intranet-Technologie für die Medizinische Ausbildung am Beispiel Klinische Chemie .“ Medizinische Ausbildung 1998, Nr. 60: 27–30.
    • Lyon HC Jr, Longnecker DS, Gonzalez J, O'Donnell J, Bell JR, Izzo D, Ueberla K, Batschkus M, Dugas M, Fischer M, Eitel F, Weindl A, Shultz E. . ‘Correlation between student use of computer-based instruction and high exam scores in pathology.’ Journal of Medical Education Technologies 1998, Nr. 6: 20–25.
    • Dugas M, Jacobs P. . Pflegeinformationen per Computer.
    • Dugas M. . „HTML-Anwendungen im Intranet - Erfahrungen im Klinikum Großhadern.“ In Kongreßband der XII. Jahrestagung der SGMI/SSIM. Klinikinformationssysteme von der Theorie zur Praxis, 114–118. Zürich.
    • Dugas M. . ‘Clinical applications of Intranet-Technology.’ In New Technologies in Hospital Information Systems, 115–118. IOS Press.
    • Dugas M, Überla K. . „Bereitstellung und Nutzung medizinischer Inhalte mit einem universellen Klinikinformationsserver des IBE - Erfahrungen auf 50 Stationen im Klinikum Großhadern.“ In Medizinische Informatik, Biometrie und Epidemiologie, 40–43. München: MMV-Verlag.
    • Dugas M. . „Kommunikation im Gesundheitswesen: HTML-Anwendungen im Intranet.“ In Medizinische Dokumentation und Information, 1–21.
    • Dugas M, Batschkus MM, Lyon HC. . „CBT in der Medizin mit Intranet-Technologie - Erfahrungen im Klinikum Großhadern.“ In CBT in der Medizin, 17–20. Aachen.
    • Honerjäger P, Dugas M, Zong XG. . ‘Mutually Exclusive Action of Cationic Veratridine and Cevadine at an Intracellular Site of the Cardiac Sodium Channel. .’ J Gen Physiol 1992, Nr. 99: 699–720.
    • Zong XG, Dugas M, Honerjäger P. . ‘Relation between Veratridine Reaction Dynamics and Macroscopic Na Current in Single Cardiac Cells. .’ J Gen Physiol 1992, Nr. 99: 683–697.
    • Wang G, Dugas M, Armah IB, Honerjäger P. . ‘Interaction between DPI 201-106 Enantiomers at the Cardiac Sodium Channel. .’ Molecular Pharmacology 1990, Nr. 37: 17–24.
    • Wang G, Dugas M, Armah IB, Honerjäger P. . ‘Sodium Channel Comodification with Full Activator reveals Veratridine Reaction Dynamics. .’ Molecular Pharmacology 1990, Nr. 37: 144–148.
    • Dugas M, Honerjäger P, Masslich U. . ‘Tetrodotoxin block of single germitrine-activated sodium channels in cultured rat cardiac cells. .’ J Physiol 1989, Nr. 411: 611–626.

  • Betreute Arbeiten

    Promotionen

    Planung und Analyse adaptiv-sequentieller klinischer Studien mit multiplen, korrelierten Ereigniszeit-Endpunkten
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    Multilinguale Validierung von Fragebögen zur Erfassung von Pruritus in Deutschland, Polen und der Türkei
    Winter, TanjaPruNet Teilprojekt: Vergleich der Dermatosen anhand der Lebensqualität in Frankreich/Russland
    Vietmeier, Friederike ElisabethPruNet Teilprojekt: Validierung und Anwendung von Fragebögen zur Intensität und Lebensqualität bei chronischen Pruritus in zwei europäischen Kollektiven
    Funke, JuliaPruNet Teilprojekt
    Sandmann, SarahEvaluating Variant Calling Tools for Non-Matched Next-Generation Sequencing Data
    Mozar, JulianPruNet Teilprojekt: Validierung von zwei Pruritus-spezifischen Fragebögen zur Erfassung der Lebensqualität in Österreich
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    Soto Rey, IñakiEfficiency and effectiveness evaluation of an automated multi-country patient count cohort system
    Warlich, BenjaminHealth-Related Quality of Life in Chronic Pruritus: An Analysis Related to Disease Etiology, Clinical Skin Conditions and Itch Intensity
    Tilahun, BinyamElectronic medical record system framework for low resource setting hospitals
    Butz, OlafEvaluation des Bilddatenaustausches im Traumanetzwerk NordWest Einflüsse auf Prozesse in der Notaufnahme
    Neuhaus, PhilippCharacterization of Image Transfer Patterns in a Regional Trauma Network
    Bruland, PhilippDoes single-source create an added value? Evaluating the impact of introducing x4T into the clinical routine on workflow modifications, data quality and cost-benefit.
    Frequency analysis of medical concepts in clinical trials and their coverage in MeSH and SNOMED-CT
    Bartenhagen, ChristophRobuste und genaue Detektion struktureller Varianten mit Paired-End- und Soft-Clip-Alignments: SoftSV im Vergleich mit acht Algorithmen
    Heide, TobiasResearch Portals - Knowledge Access, Content Design, and Quality Management
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    Doods, JustinA European inventory of common electronic health record data elements for clinical trial feasibility
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    Bayesianische Verfahren in pädiatrischen Studien Extrapolation historischer Informationen aus klinischen Studien an Erwachsenen und Kindern: Ergebnisse, Limitationen und Erweiterungen eines meta-analytisch prädiktiven Ansatzes
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    Eminaga, OkyazClinical map document based on XML (cMDX) - document architecture with mapping feature for reporting and analysing prostate cancer in radical prostatectomy specimens

    Habilitationen

    Semantische Analysen und Entscheidungsunterstützungssysteme in der Medizin
    Konfirmatorische adaptive Designs für Phase II Studien mit Überlebenszeitendpunkt
    Software Engineering für mobile Endgeräte
    Reitz, ChristianeVascular Disease and Cognitive Impairment