Prof. Dr. Martin Dugas

Kontakt

Portrait
Institut für Medizinische InformatikDomagkstr. 9
48149 Münster

Forschungsschwerpunkte

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

Vita

Akademische Ausbildung

08/2006Weiterbildungsbefugnis für Medizinische Informatik der Ärztekammer Westfalen-Lippe
09/2003Zertifikat Biometrie der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie
10/2002Habilitation, Erlangung der Venia legendi für Medizinische Informatik an der Ludwig-Maximilians-Universität München, Habilitationsthema: "Die Analyse der Datenqualität und -komplexität in Medizinischen Datenbanken"
09/2000Zertifikat Medizinische Informatik der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie
09/1996Diplom in Informatik
10/1989 - 09/1996Studium der Informatik an der FU Hagen
05/1996Approbation als Arzt
06/1994Promotion zum Dr. med. an der TU München, Dissertationsthema: "Entwicklung einer computergestützten Ganzzell- und Einzelkanal-Analyse"
10/1987 - 11/1993Studium der Humanmedizin an der Technischen Universität München mit Auslandsaufenthalten in Zürich, London und Montpellier

Beruflicher Werdegang

seit 08/2009Managing Director of the Department of Medical Informatics and Biomathematics at the University of Münster
seit 2006Mitglied der IV-Kommission an der Westfälischen Wilhelms-Universität Münster
seit 09/2005Professor für Medizinische Informatik am Institut für Medizinische Informatik und Biomathematik der Westfälischen Wilhelms-Universität Münster
11/2005 - 12/2010Leiter der Abteilung Klinische Systeme des Universitätsklinikums Münster (UKM)
06/2004 - 06/2005Mitarbeiter im Bereich Industrieforschung für Krankenhausinformationssysteme bei Siemens Medical Health Services, USA
10/2001 - 05/2004IT-Beauftragter der Munich-Harvard Alliance for Medical Education der Ludwig-Maximilians-Universität München
11/1995 - 05/2004Wissenschaftlicher Mitarbeiter am Institut für Medizinische Informatik, Biometrie und Epidemiologie der Ludwig-Maximilians-Universität München

Mitgliedschaften und Aktivitäten in Gremien

seit 2001Mitglied im Gutachtergremium im Bereich "eHealth" für die Europäischen Kommission
Mitglied der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS)

Projekte

  • Epigenetische Basis der Plastizitätseigenschaften und Therapieresistenz von T-Linien-abgeleiteten myeloischen Leukämiestammzellen (2018 - 2020)
    Drittmittel: Deutsche Krebshilfe e.V. | Förderkennzeichen: 70112660
  • Infektionsbedingte Mutationsprofile in pB-ALL (2017 - 2020)
    Drittmittel: Deutsche Kinderkrebsstiftung e.V. | Förderkennzeichen: DKS 2016.17
  • KFO 326 - CP: Koordination und integrierte Analyse von OMICs-Daten (2017 - 2020)
    Drittmittel: DFG - Klinische Forschergruppe | Förderkennzeichen: TU 298/5-1
  • MDS-RIGHT - Providing the right care to the right patient with MyeloDysplastic Syndrome at the right time (MDS-RIGHT) (2017 - 2020)
    Drittmittel: EU H2020 - Research and innovation actions | Förderkennzeichen: 634789
  • PPRC - European Prurigo Project (2016 - 2019)
    Drittmittel: European Academy of Dermatology and Venereology | Förderkennzeichen: 2016012
  • MDM-Portal - Portal für Medizinische Datenmodelle (2018 - 2019)
    Drittmittel: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: DU 352/11-2
  • T.I.M.E. - Telemedizinische Information bei Medizinsichen Notfällen (2016 - 2019)
    Drittmittel: EU - Europäischer Fonds für regionale Entwicklung | Förderkennzeichen: EFRE-0800196
  • Molekulargenetische Charakterisierung von lymphoblastischen T-Zell Lymphomen im Kindes- und Jugendalter (2015 - 2018)
    Drittmittel: Deutsche Krebshilfe e.V. | Förderkennzeichen: 111347
  • SOLKID-GNR - Die Sicherheit des Lebendspenders - das deutsche nationale Lebendspenderegister (2017 - 2018)
    Drittmittel: Bundesministerium für Bildung und Forschung | Förderkennzeichen: 01GY1725
  • MDM-Portal - Portal für Medizinische Datenmodelle (2015 - 2018)
    Drittmittel: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: DU 352/11-1
  • PruNet - European Network on Asessment of Severity and Burden of Pruritus (2015 - 2018)
    Drittmittel: 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 (2015 - 2017)
    Unbekannte Mittelart: Interdisziplinäres Zentrum für Klinische Forschung Münster | Förderkennzeichen: Ros2/007/15
  • TRIAGE-MDS - TRIAGE-MDS: Translationale Implementierung von Genetischer Evidenz beim Management von MDS (2014 - 2017)
    Drittmittel: Bundesministerium für Bildung und Forschung | Förderkennzeichen: 01KT1401
  • ADMIRE - AgenDa Medical Informatics for healthcare, Research & Education (2016 - 2017)
    Drittmittel: Bundesministerium für Bildung und Forschung | Förderkennzeichen: 01ZZ1602B
  • Eine Phase-II-Studie zur Erfassung der Effektivität einer Therapie mit ATRA und TCP bei Patienten mit Erstdiagnose einer akuten myeloischen Leukämie (2014 - 2017)
    Drittmittel: Deutsche Krebshilfe e.V. | Förderkennzeichen: 110500
  • Verbesserung der Diagnostik von Tumorerkrankungen durch neue DNA-Sequenzierverfahren und Algorithmen (2013 - 2017)
    Drittmittel: Deutsche Krebshilfe e.V. | Förderkennzeichen: 110807; 110495
  • NFDM-Sprint Forschungsprojekt zur Einführung der Fachanwendung Notfalldaten-Management (NFDM) der elektronischen Gesundheitskarte (eGK). (2016)
    Eigenmittel
  • MA-RIKA - Medizinisches Akutkrankenhaus. Rettungsdienst Informations- und Kommunikationssystem für akute Notfälle im Alter (2013 - 2016)
    Drittmittel: Ministerium für Gesundheit, Emanzipation, Pflege und Alter des Landes Nordrhein-Westfalens | 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 (2013 - 2015)
    Drittmittel: DFG - Forschergruppe | Förderkennzeichen: RO 2295/4-2
  • SHT-Register - Klinisches Register für Patientinnen und Patienten mit Schädelhirntrauma (2013 - 2015)
    Drittmittel: EU - Europäischer Fonds für regionale Entwicklung | Förderkennzeichen: 005-GW02-024
  • EHR4CR - Elektronische Patientenakten-Systeme für die klinische Forschung (2011 - 2015)
    Drittmittel: IMI Innovative Medicines Initiative
  • Identifizierung molekulargenetischer Prognosefaktoren bei TEL/AML1+ akuter lymphoblastischer Leukämie des Kindesalters (2011 - 2014)
    Drittmittel: Deutsche Kinderkrebsstiftung e.V. | Förderkennzeichen: DKS2010.21
  • EuGESMA - European Genomics and Epigenomics - Translating Genomic and epigenetic Studies of MDS and AML (2009 - 2012)
    Drittmittel: EU - COST Actions | Förderkennzeichen: BM0801
  • Integrierte klinische Informationssysteme nach dem Single-Source-Konzept (2009 - 2012)
    Drittmittel: DFG - Sachbeihilfe/Einzelförderung | Förderkennzeichen: DU 352/5-1
  • Telematische Unterstützung der Schwerverletztenversorgung (2009 - 2012)
    Drittmittel: 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 (2010 - 2012)
    Drittmittel: José Carreras Leukämie-Stiftung | Förderkennzeichen: DJCLS H 09/04
  • Verbund: KIS-basierte Unterstützung der Patientenrekrutierung in klinischen Studien - Teilprojekt der Uni Münster (2010 - 2012)
    Drittmittel: 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 (2004 - 2011)
    Drittmittel: EU FP 6 - Networks of Excellence | Förderkennzeichen: 503216

Publikationen

  • Brozou T, Taeubner J, Velleuer E, Dugas M, Wieczorek D, Borkhardt A, Kuhlen M. 2018. ‘Genetic predisposition in children with cancer - affected families' acceptance of Trio-WES.Y - 2018.’ European journal of pediatrics 177, Nr. 1: 53-60.
  • Brozou T, Taeubner J, Velleuer E, Dugas M, Wieczorek D, Borkhardt A, Kuhlen M. 2018. ‘Correction to: Genetic predisposition in children with cancer - affected families' acceptance of Trio-WES.Y - 2018.’ European journal of pediatrics 177, Nr. 1: 61-.
  • 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. 2017. ‘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. [Im Druck]
  • 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. 2017. ‘Loss of the histone methyltransferase EZH2 induces resistance to multiple drugs in acute myeloid leukemia..’ Nature medicine 23, Nr. 1: 69-78.
  • 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. 2017. ‘AML1-ETO requires enhanced C/D box snoRNA/RNP formation to induce self-renewal and leukaemia..’ Nature cell biology 19, Nr. 7: 844-855.
  • 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. 2017. ‘Clonal evolution in myelodysplastic syndromes..’ Nature communications 8: 15099-.
  • Agelopoulos K, Lotts T, Conrad H, Dugas M, Stander S. 2017. ‘GLOBAL GENE EXPRESSION PROFILING IN PRURIGO NODULARIS.’ Acta dermato-venereologica 97, Nr. 8: 1037-1037.
  • Hegselmann S, Gessner S, Neuhaus P, Henke J, Schmidt C, Dugas M. 2017. ‘Automatic Conversion of Metadata from the Study of Health in Pomerania to ODM..’ Studies in health technology and informatics 236: 88-96.
  • Bruland P, Doods J, Storck M, Dugas M. 2017. ‘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.
  • Sandmann S, de Graaf AO, Dugas M. 2017. ‘BBCAnalyzer: a visual approach to facilitate variant calling.’ BMC Bioinformatics 18. doi: 10.1186/s12859-017-1549-4.
  • Steinke S., Bruland P., Blome C., Osada N., Dugas M., Fritz F., Augustin M., Ständer S. 2017. ‘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.
  • Zeidler C, Bruland P, Riepe C, Soto I, Steinke S, Storck M, Dugas M, Stander S. 2017. ‘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: 1025-1025.
  • Sandmann S., De Graaf A., Karimi M., Van Der Reijden B., Hellström-Lindberg E., Jansen J., Dugas M. 2017. ‘Evaluating Variant Calling Tools for Non-Matched Next-Generation Sequencing Data.’ Scientific Reports 7, Nr. null. doi: 10.1038/srep43169.
  • 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. 2017. ‘Infection as a cause of childhood leukemia: virus detection employing whole genome sequencing..’ Haematologica 102, Nr. 5: e179-e183.
  • 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. 2017. ‘Impact of Molecular Genetics on Outcome in Myelofibrosis Patients after Allogeneic Stem Cell Transplantation..’ Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation 23, Nr. 7: 1095-1101.
  • 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. 2017. ‘Infection Exposure Promotes ETV6-RUNX1 Precursor B-cell Leukemia via Impaired H3K4 Demethylases..’ Cancer research 77, Nr. 16: 4365-4377.
  • Girardeau Y, Doods J, Zapletal E, Chatellier G, Daniel C, Burgun A, Dugas M, Rance B. 2017. ‘Leveraging the EHR4CR platform to support patient inclusion in academic studies: challenges and lessons learned..’ BMC medical research methodology 17, Nr. 1: 36-.
  • Soto-Rey I, Geßner S, Dugas M. 2017. ‘Operational Data Model Conversion to ResearchKit..’ Studies in health technology and informatics 245: 225-229.
  • Zeidler C, Bruland P, Riepe C, Soto Rey I, Steinke S, Storck M, Dugas M, Stander S. 2017. ‘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 = Journal of the German 15: 186-187.
  • Sandmann S, Karimi M, de Graaf A, van der Reijden B, Hellstrom-Lindberg E, Jansen J, Dugas M. 2017. ‘APPRECI8: A PIPELINE FOR PRECISE VARIANT CALLING INTEGRATING 8 TOOLS.’ Haematologica 102 2: 492-492.
  • Sandmann S., De Graaf A., Van Der Reijden B., Jansen J., Dugas M. 2017. ‘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.
  • Brozou T, Kuhlen M, Borkhardt A, Fremerey J, Velleuer E, Wieczorek D, Gombert M, Walter C, Dugas M. 2017. ‘Cancer Predisposition in Childhood Cancer -The Duesseldorf Experience in Comprehensive Clinical Evaluation and Trio Whole Exome Sequencing of Families.’ Pediatric blood & cancer 64 3: S154-S155.
  • 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.“Poster contributed to the European Conference on Computational Biology (ECCB), Den Haag, 2016.
  • Garcia-Cuellar M, Büttner C, Bartenhagen C, Dugas M, Slany R. 2016. ‘Leukemogenic MLL-ENL Fusions Induce Alternative Chromatin States to Drive a Functionally Dichotomous Group of Target Genes..’ Cell reports 15, Nr. 2: 310-22.
  • Dugas M. 2016. ‘Sharing clinical trial data..’ Lancet 387, Nr. 10035: 2287-.
  • Dugas M, Meidt A, Neuhaus P, Storck M, Varghese J. 2016. ‘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. 2016. ‘Leukemia research in Germany: the Competence Network Acute and Chronic Leukemias.’ Bundesgesundheitsblatt Gesundheitsforschung, Gesundheitsschutz 59, Nr. 4: 444-453.
  • Bartenhagen C, Dugas M. 2016. ‘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, Dugas M, Storck M. 2016. ‘Implementation of an ODM and HL7 Compliant Electronic Patient-Reported Outcome System..’ Studies in health technology and informatics 228: 421-5.
  • Ständer S, Ständer H, Steinke S, Bruland P, Dugas M, Augustin M. 2016. „Chronic pruritus : Care in daily practice.“ Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte 67, Nr. 8: 640-7.
  • 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. 2016. ‘Key Data Elements in Myeloid Leukemia..’ Studies in health technology and informatics 228: 282-6.
  • Doods J, Neuhaus P, Dugas M. 2016. ‘Converting ODM Metadata to FHIR Questionnaire Resources..’ Studies in health technology and informatics 228: 456-60.
  • Storck M, Krumm R, Dugas M. 2016. ‘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. 2016. ‘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-.
  • Dugas M., Neuhaus P., Meidt A., Doods J., Storck M., Bruland P., Varghese J. 2016. ‘Portal of medical data models: Information infrastructure for medical research and healthcare.’ Database 2016, Nr. null. doi: 10.1093/database/bav121.
  • 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. 2016. ‘A NOVEL EPIGENETIC RESISTANCE MECHANISM TO THE FLT3 INHIBITOR PKC412 INDUCES CROSS-RESISTANCE TO STANDARD CHEMOTHERAPY IN ACUTE MYELOID LEUKEMIA (AML).’ Haematologica 101 1: 166-166.
  • Bruland P., McGilchrist M., Zapletal E., Acosta D., Proeve J., Askin S., Ganslandt T., Doods J., Dugas M. 2016. ‘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. 2016. ‘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. 2016. ‘Increased DNA methylation of Dnmt3b targets impairs leukemogenesis.’ Blood 127, Nr. 12: 1575-1586. doi: 10.1182/blood-2015-07-655928.
  • 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. 2016. ‘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.
  • 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. 2016. ‘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.
  • Soto-Rey I., Trinczek B., Girardeau Y., Zapletal E., Ammour N., Doods J., Dugas M., Fritz F. 2015. ‘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. 2015. ‘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. 2014. ‘Basic4Cseq: an R/Bioconductor package for analyzing 4C-seq data.’ Bioinformatics 30, Nr. 22: 3268-3269. doi: 10.1093/bioinformatics/btu497.
  • 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. 2014. ‘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. 2014. ‘Genetic characterization of acquired aplastic anemia by targeted sequencing.’ Haematologica 99, Nr. 9. doi: 10.3324/haematol.2013.101642.
  • Bruland P., Dugas M. 2014. ‘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.
  • 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. 2013. ‘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.
  • 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. 2013. ‘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.
  • Lahti L, Schäfer M, Klein HU, Bicciato S, Dugas M. 2013. ‘Cancer gene prioritization by integrative analysis of mRNA expression and DNA copy number data: a comparative review..’ Brief Bioinform 14, Nr. 1: 27-35.
  • 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. 2012. ‘Inhibition of the LSD1 (KDM1A) demethylase reactivates the all-trans-retinoic acid differentiation pathway in acute myeloid leukemia..’ Nat Med 18, Nr. 4: 605-11.
  • Fritz F, Balhorn S, Riek M, Breil B, Dugas M. 2012. ‘Qualitative and quantitative evaluation of EHR-integrated mobile patient questionnaires regarding usability and cost-efficiency..’ Int J Med Inform 81, Nr. 5: 303-13. doi: 10.1016/j.ijmedinf.2011.12.008.
  • Fischer U, Ruckert C, Hubner B, Eckermann O, Binder V, Bakchoul T, Schuster FR, Merk S, Klein HU, Führer M, Dugas M, Borkhardt A. 2012. ‘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.
  • Ghosh S, Bartenhagen C, Okpanyi V, Gombert M, Binder V, Teigler-Schlegel A, Bradtke J, Rottgers S, Dugas M, Borkhardt A. 2012. ‘Next-generation sequencing reveals complex molecular rearrangements in MLLT10/MLL childhood AML.’ Eur J Pediatr 171, Nr. 9: 1426-1426.
  • Wildenhain S, Ingenhag D, Ruckert C, Degistirici Ö, Dugas M, Meisel R, Hauer J, Borkhardt A. 2012. ‘Homeobox protein HB9 binds to the prostaglandin E receptor 2 promoter and inhibits intracellular cAMP mobilization in leukemic cells..’ J Biol Chem 287, Nr. 48: 40703-12.
  • 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. 2012. „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).“ Hautarzt 63, Nr. 7: 521-31.
  • Breil B, Kenneweg J, Fritz F, Bruland P, Doods D, Trinczek B, Dugas M. 2012. ‘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.
  • Fritz F, Riek M, Breil B, Dugas M, Stander S. 2012. ‘Mobile Capture of the DLQI (Dermatology Life Quality Index) for medical Care and Research in Dermatology.’ Exp Dermatol 21, Nr. 3: e49-e49.
  • Bruland P, Breil B, Fritz F, Dugas M. 2012. ‘Interoperability in clinical research: from metadata registries to semantically annotated CDISC ODM..’ Stud Health Technol Inform 180: 564-8. doi: 10.3233/978-1-61499-101-4-564.
  • Klein HU, Bartenhagen C, Kohlmann A, Grossmann V, Ruckert C, Haferlach T, Dugas M. 2011. ‘R453Plus1Toolbox: an R/Bioconductor package for analyzing Roche 454 Sequencing data.’ Bioinformatics 27, Nr. 8: 1162-1163.
  • Grossmann V, Kohlmann A, Klein HU, Schindela S, Schnittger S, Dicker F, Dugas M, Kern W, Haferlach T, Haferlach C. 2011. ‘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.
  • Bacher U, Kern W, Alpermann T, Schnittger S, Kohlmann A, Klein HU, Dugas M, Haferlach C, Haferlach T. 2011. ‘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.
  • Schweer C, Doering S, Haier J, Heuft G, Fritz F, Dugas M, Schneider G. 2011. „[Psychooncological interventions - what do cancer patients aged 60 years or older wish for?]..“ Z Psychosom Med Psychother 57, Nr. 3: 223-32.
  • Breil B, Fritz F, Thiemann V, Dugas M. 2011. ‘Mapping turnaround times (TAT) to a generic timeline: a systematic review of TAT definitions in clinical domains..’ BMC Med Inform Decis Mak 11: 34. doi: 10.1186/1472-6947-11-34.
  • Fritz F, Ständer S, Breil B, Riek M, Dugas M. 2011. ‘CIS-based registration of quality of life in a single source approach..’ BMC Med Inform Decis Mak 11: 26. doi: 10.1186/1472-6947-11-26.
  • Fritz F, Phan NQ, Riek M, Breil B, Augustin M, Dugas M, Stander S. 2011. ‘MEDICAL CARE OF CHRONIC PRURITUS PATIENTS: HOW TO EFFICIENTLY COLLECT PATIENT REPORTED OUTCOMES.’ Acta Derm Venereol 91, Nr. 5: 636-636.
  • Fritz F, Phan NQ, Dugas M, Augustin M, Stander S. 2011. ‘CORRELATION OF ITCH INTENSITY WITH QUALITY OF LIFE, ANXIETY AND DEPRESSION.’ Acta Derm Venereol 91, Nr. 5: 636-637.
  • Schneider G, Schweer C, Doering S, Haier J, Heuft G, Fritz F, Dugas M. 2011. ‘Psychooncological interventions -what do cancer patients aged 60 years or older wish for?.’ J Psychosom Res 70, Nr. 6: 612-613.
  • Herzberg S, Rahbar K, Stegger L, Schäfers M, Dugas M. 2011. ‘Concept and implementation of a computer-based reminder system to increase completeness in clinical documentation..’ Int J Med Inform 80, Nr. 5: 351-8.
  • Breil B, Semjonow A, Müller-Tidow C, Fritz F, Dugas M. 2011. ‘HIS-based Kaplan-Meier plots--a single source approach for documenting and reusing routine survival information..’ BMC Med Inform Decis Mak 11: 11. doi: 10.1186/1472-6947-11-11.
  • Mate S, Bürkle T, Köpcke F, Breil B, Wullich B, Dugas M, Prokosch HU, Ganslandt T. 2011. ‘Populating the i2b2 database with heterogeneous EMR data: a semantic network approach..’ Stud Health Technol Inform 169: 502-6.
  • Grossmann V, Schnittger S, Schindela S, Klein HU, Eder C, Dugas M, Kern W, Haferlach T, Haferlach C, Kohlmann A. 2011. ‘Strategy for robust detection of insertions, deletions, and point mutations in CEBPA, a GC-rich content gene, using 454 next-generation deep-sequencing technology.’ J Mol Diagn 13, Nr. 2: 129-136.
  • Binder V, Bartenhagen C, Okpanyi V, Behrens B, Moehlendick B, Klein HU, Rieder H, Gombert M, Dugas M, Stoecklein NH, Borkhardt A. 2011. ‘Whole Genome Amplification with Subsequent High Throughput Sequencing Allows Comprehensive Genome-Wide Analysis of Single Leukemic Cells.’ Blood 118, Nr. 21: 624-624.
  • Dziuballe Philipp, Forster Christian, Breil Bernhard, Thiemann Volker, Fritz Fleur, Lechtenbörger Jens, Vossen Gottfried, Dugas Martin. 2011. ‘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.
  • 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. 2011. ‘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.
  • 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. 2011. ‘Somatic Structural Variations in Pediatric High Hyperdiploid Acute Lymphoblastic Leukemia Revealed by Paired-End Parallel Sequencing.’ Blood 118, Nr. 21: 184-184.
  • 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. 2010. ‘Low SMC1A protein expression predicts poor survival in acute myeloid leukemia..’ Oncol Rep 24, Nr. 1: 47-56.
  • Dugas M, Lange M, Müller-Tidow C, Kirchhof P, Prokosch HU. 2010. ‘Routine data from hospital information systems can support patient recruitment for clinical studies..’ Clin Trials 7, Nr. 2: 183-9. doi: 10.1177/1740774510363013.
  • Malyar V, Busch V, Hillebrand U, Reiermann S, Kliche K, Breil B, Dugas M, Suwelack B. 2010. ‘PROGNOSTIC FACTORS FOR AND PREVALENCE OF BK-VIRUS INFECTION IN A CAUCASIAN RENAL TRANSPLANT POPULATION.’ Transpl Int 23 Suppl.: 0112 -.
  • Bartenhagen C, Klein HU, Ruckert C, Jiang X, Dugas M. 2010. ‘Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data.’ BMC Bioinformatics 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. 2010. ‘Genomic profiling of adult acute lymphoblastic leukemia by single nucleotide polymorphism oligonucleotide microarray and comparison to pediatric acute lymphoblastic leukemia.’ Haematologica 95, Nr. 9.
  • Fritz F, Ständer S, Breil B, Dugas M. 2010. ‘Steps towards single source--collecting data about quality of life within clinical information systems..’ Stud Health Technol Inform 160, Nr. Pt 1: 188-92.
  • Kohlmann A, Bullinger L, Thiede C, Schaich M, Schnittger S, Döhner K, Dugas M, Klein HU, Döhner H, Ehninger G, Haferlach T. 2010. ‘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.
  • 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. 2010. ‘Low SMC1A protein expression predicts poor survival in acute myeloid leukemia..’ Oncol Rep 24, Nr. 1: 47-56.
  • Dziuballe P, Herzberg S, Breil B, Fritz F, Dugas M. 2010. „Single-Source-Ansätze am Universitätsklinikum Münster.“ mdi 2010, Nr. 2: 57-59.
  • Dugas M, Lange M, Müller-Tidow C, Kirchhof P, Prokosch HU. 2010. ‘Using routine data from hospital information systems to facilitate recruitment in clinical research..’ Clinical Trials 7, Nr. 2: 183-189.
  • 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. 2010. ‘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. 2010. ‘Serum concentration of baseline mast cell tryptase: evidence for a decline during long-term immunotherapy for Hymenoptera venom allergy.’ Clin Exp Allergy .
  • Breil B, Fritz F, Thiemann V, Dugas M. 2010. ‘Multidisciplinary education in medical informatics--a course for medical and informatics students..’ Stud Health Technol Inform 160, Nr. Pt 1: 581-4.
  • Eminaga O, Hinkelammert R, Semjonow A, Neumann J, Abbas M, Koepke T, Bettendorf O, Eltze E, Dugas M. 2010. ‘Clinical map document based on XML (cMDX): document architecture with mapping feature for reporting and analysing prostate cancer in radical prostatectomy specimens..’ BMC Med Inform Decis Mak 10: 71. doi: 10.1186/1472-6947-10-71.
  • Herzberg S, Rahbar K, Stegger L, Schäfers M, Dugas M. 2010. ‘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. 2010. ‘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.
  • Dugas-Breit S, Przybilla B, Dugas M, Arnold A, Pfundstein G, Küchenhoff H, Ruëff F. 2010. ‘Serum concentration of baseline mast cell tryptase: evidence for a decline during long-term immunotherapy for Hymenoptera venom allergy..’ Clin Exp Allergy 40, Nr. 4: 643-9. doi: 10.1111/j.1365-2222.2009.03436.x.
  • Toddenroth D, Dugas M, Kennerknecht I. 2010. ‘Sorting chromosomes as a software-based exercise..’ Med Educ 44, Nr. 11: 1127. doi: 10.1111/j.1365-2923.2010.03845.x.
  • Dugas M, Breil B, Thiemann V, Lechtenbörger J, Vossen G. 2009. ‘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.
  • Haferlach T, Kohlmann A, Klein HU, Ruckert C, Dugas M, Williams PM, Kern W, Schnittger S, Bacher U, Löffler H, Haferlach C. 2009. ‘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.
  • Dugas M, Thun S, Frankewitsch T, Heitmann KU. 2009. ‘LOINC® Codes for Hospital Information System documents - a case study.’ J Am Med Inform Assoc 16, Nr. 3: 400-403.
  • Breil B, Semjonow A, Dugas M. 2009. ‘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.
  • 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. 2009. ‘High-resolution genomic copy number profiling of glioblastoma multiforme by single nucleotide polymorphism DNA microarray..’ Molecular cancer research 7, Nr. 5: 665-77. doi: 10.1158/1541-7786.MCR-08-0270.
  • Schäfer M, Schwender H, Merk S, Haferlach C, Ickstadt K, Dugas M. 2009. ‘Integrated analysis of copy number alterations and gene expression: a bivariate assessment of equally directed abnormalities..’ Bioinformatics 25, Nr. 24: 3228-35. doi: 10.1093/bioinformatics/btp592.
  • Dugas M, Breil B, Thiemann V, Lechtenbörger J, Vossen G. 2009. ‘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.
  • Dugas M, Amler S, Lange M, Gerss J, Breil B, Köpcke W. 2009. ‘Estimation of patient accrual rates in clinical trials based on routine data from hospital information systems..’ Methods of Information in Medicine 48, Nr. 3: 263-6. doi: 10.3414/ME0582.
  • Breil B, Dugas M. 2009. ‘Transferring HIS data to population-based cancer registries - concept and first implementations.’ Stud Health Technol Inform 150: 86-90.
  • Krug U, Yasmeen A, Beger C, Bäumer N, Dugas M, Berdel WE, Müller-Tidow C. 2009. ‘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. 2009. ‘Frequent genomic abnormalities in acute myeloid leukemia/myelodysplastic syndrome with normal karyotype..’ Haematologica 94, Nr. 2: 213-23. doi: 10.3324/haematol.13024.
  • 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. 2009. ‘Single nucleotide polymorphism genomic arrays analysis of t(8;21) acute myeloid leukemia cells..’ Haematologica 94, Nr. 9: 1301-6. doi: 10.3324/haematol.2009.005744.
  • 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. 2009. ‘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.
  • 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. 2009. ‘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.
  • Dugas M, Lange M, Berdel WE, Müller-Tidow C. 2008. ‘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.
  • Kohlmann A, Bullinger L, Thiede C, Schaich M, Schnittger S, DohnerMd K, Dugas M, Dohner H, Ehninger G, Haferlach T. 2008. ‘Gene Expression Profiling in AML with Normal Karyotype: A Multicenter Study Investigating Molecular Markers in 252 Cases.’ Blood 112, Nr. 11: 278-279.
  • 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. 2008. ‘Identification of acute myeloid leukaemia associated microRNA expression patterns..’ British Journal of Haematology 140, Nr. 2: 153-61.
  • Dugas M, Eckholt M, Bunzemeier H. 2008. ‘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.
  • Heer IM, Kumper C, Vogtle N, Muller-Egloff S, Dugas M, Strauss A. 2008. ‘Analysis of factors influencing the ultrasonic fetal weight estimation..’ Fetal Diagnosis and Therapy 23, Nr. 3: 204-10. doi: 10.1159/000116742.
  • Müller-Tidow C, Dugas M. 2008. ChIP- chip microarrays to study the epigenome in leukemia , Nr. 5, 2008.
  • Merk S, Dugas M. 2008. ‘Application of microarray technology for the analysis of gene expression in veterinary medicine..’ Berl. Münch. Tierärztl. Wochenschr : 179-188.
  • 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.“Poster contributed to the ASH 2007, 2007.
  • Haferlach C, Rauhut S, Merk S, Dicker F, Schnittger S, Kern W, Dugas M, Haferlach T. 2007. ‘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.“Poster contributed to the ASH 2007, 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. 2007. ‘Numerous genomic abnormalities in AML with normal karyotype.’ Blood 110, Nr. 11.
  • 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.“Poster contributed to the ASH 2007, 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.“Poster contributed to the ASH 2007, 2007.
  • Haferlach T, Haferlach C, Kohlmann A, Wieczorek L, Dugas M, Merk S, Kern W, Schnittger S. 2007. ‘Microarray analysis detects unique expression pattern for NPM1-mutated AML with normal karyotype and reveals pathobiological insights.’ Blood 110, Nr. 11.
  • Haferlach C, Rauhut S, Merk S, Dicker F, Schnittger S, Kern W, Dugas M, Haferlach T. 2007. ‘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.
  • Vempati S, Reindl C, Kaza SK, Kern R, Malamoussi T, Dugas M, Mellert G, Schnittger S, Hiddemann W, Spiekermann K. 2007. ‘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, 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.“Poster contributed to the ASH 2007, 2007.
  • Haferlach C, Raubut S, Merk S, Dicker F, Schnittger S, Kern W, Dugas M, Haferlach T. 2007. ‘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.
  • Haferlach C, Merk S, Rauhut S, Schnittger S, Kern W, Dugas M, Haferlach T. 2007. ‘An approach to virtual karyotyping for unbalanced rearrangements based on gene expression data.’ Blood 110, Nr. 11.
  • Dugas M, Weninger F, Merk S, Kohlmann A, Haferlach T. 2006. ‘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. 2006. ‘Impact of trisomy 8 on expression of genes located on chromosome 8 in different AML subgroups.’ Genes Chromosomes Cancer 45, Nr. 12: 1164-1168.
  • Bocionek S, Dugas M. 2005. ‘Hospital Information Systems.’ In Imaging Systems for Medical Diagnostics, 943-989.: Publicis Publishing.
  • Haferlach T, Kohlmann A, Schnittger S, Dugas M, Hiddemann W, Kern W, Schoch C. 2005. ‘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. 2005. ‘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. 2005. ‘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. 2005. ‘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. 2005. ‘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. 2005. ‘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. 2005. ‘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. 2005. ‘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, Martignoni A, Schauer RJ, Dugas M, Schachtner T, Kaufmann I, Setzer F, Rau HG, Lohe F, Jauch KW, Peter K, Thiel M. 2005. ‘Alpha-gluthathione S-transferase as an early marker of hepatic ischemia/reperfusion injury after liver resection..’ World J Surg 29, Nr. 4: 528-534.
  • 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. 2004. ‘Synergy between medical informatics and bioinformatics: facilitating genomic medicine for future health care.’ Journal of Biomedical Informatics 37, Nr. 1: 30-42.
  • Chouker A, Martignoni A, Dugas M, Eisenmenger W, Schauer R, Kaufmann I, Schelling G, Lohe F, Jauch KW, Peter K, Thiel M. 2004. ‘Estimation of liver size for liver transplantation: the impact of age and gender..’ Liver Transpl 10, Nr. 5: 678-685.
  • Dugas M, Merk S, Breit S, Dirschedl P. 2004. ‘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. 2004. ‘Pediatric acute lymphoblastic leukemia (ALL) gene expression signatures classify an independent cohort of adult ALL patients.’ Leukemia 18, Nr. 1: 63-71.
  • 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. 2004. ‘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. 2004. ‘Identification of differentially expressed genes in scrapie-infected mouse brains by using global gene expression technology..’ J Virol 78, Nr. 20: 11051-11060.
  • Heer IM, Middendorf K, Muller-Egloff S, Dugas M, Strauss A. 2004. ‘Ultrasound training: the virtual patient..’ Ultrasound Obstet Gynecol 24, Nr. 4: 440-444.
  • Chouker A, Schachtner T, Schauer R, Dugas M, Lohe F, Martignoni A, Pollwein B, Niklas M, Rau HG, Jauch KW, Peter K, Thiel M. 2004. ‘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.
  • Reithmann C, Hahnefeld A, Remp T, Dorwarth U, Dugas M, Steinbeck G, Hoffmann E. 2003. ‘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. 2003. ‘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. 2003. ‘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. 2003. ‘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. 2003. ‘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. 2003. ‘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. 2003. ‘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. 2003. ‘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. 2003. ‘Web-based training in occupational medicine.’ International Archives of Occupational and Environmental Health 76: 50-54.
  • Dugas M, Weinzierl S, Pecar A, Endres S, Hasford J. 2003. ‘Design and implementation of a common drug information database for a university hospital.’ Pharm World Sci 25, Nr. 4: 156-161.
  • Dugas M, Merk S, Breit S, Schoch C, Haferlach T, Kääb S. 2003. ‘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. 2003. ‘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.
  • Hoffmann R, Seidl T, Bruno L, Dugas M. 2003. ‘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.
  • Dugas M, Schauer R, Volk A, Rau H. 2002. ‘Interactive decision support in hepatic surgery..’ BMC Med Inform Decis Mak 2, Nr. 1.
  • Dugas M, Schoch C, Schnittger S, Kohlmann A, Kern W, Haferlach T, Überla K. 2002. ‘Impact of integrating clinical and genetic information.’ Silico Biology .
  • 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. 2002. ‘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.
  • Mori K, Scheidler J, Helmberger T, Holzknecht N, Schauer R, Schirren CA, Bittmann I, Dugas M, Reiser M. 2002. ‘Detection of Malignant Hepatic Lesions Before Orthotopic Liver Transplantation: Accuracy of Ferumoxides-Enhanced MR Imaging..’ Am J Roentgenol 179, Nr. 4: 1045-1051.
  • Dugas M, Hoffmann E, Janko S, Hahnewald S, Matis T, Miller J, v Bary C, Farnbacher A, Vogler V, Überla K. 2002. ‘Complexity of Biomedical Data Models in Cardiology: The Intranet-based Atrial Fibrillation Registry.’ Computer Methods and Programs in Biomedicine 68: 49-61.
  • Dugas M, Reng M. 2002. ‘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. 2002. ‘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. 2002. „Datenerhebung im Internet - Potential, Probleme und Perspektiven.“ In Moderne Gesundheitskommunikation - Von der Arzt-Patient-Interaktion zur E-Health.: Verlag Hans Huber.
  • Hoffmann R, Seidl T, Dugas M. 2002. ‘Profound effect of normalization on detection of differentially expressed genes in oligonucleotide microarray data analysis..’ Genome Biol 3, Nr. 7. doi: 10.1186/gb-2002-3-7-research0033.
  • Schoch C, Haferlach T, Bursch S, Gerstner D, Schnittger S, Dugas M, Kern W, Loffler H, Hiddemann W. 2002. ‘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.
  • Dugas M, Hoffmann E, Janko S, Hahnewald S, Matis T, Überla K. 2001. ‘XML-based Visual Data Mining in Medicine.’ Medinfo 10, Nr. 2: 1324-1328.
  • Dugas M, Christ F, Demetz F, Batschkus M, Überla K. 2001. ‘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. 2001. „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. 2001. „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, Haferlach T, Danhauser-Riedl S, Hiddemann W, Messerer D, Überla K. 2001. ‘A comprehensive leukemia database: Integration of cytogenetics, molecular genetics and microarray data with clinical information, cytomorphology and immunphenotyping.’ Leukemia 15: 1805-1810.
  • Schoch C, Kern W, Krawitz P, Dugas M, Schnittger S, Haferlach T, Hiddemann W. 2001. ‘Dependence of age-specific incidence of acute myeloid leukemia on karyotype.’ Blood 98.
  • Dugas M, Trumm C, Stäbler A, Pander E, Hundt W,,Scheidler J, Brüning R, Helmberger T, Waggershauser T, Matzko M, Reiser M. 2001. ‘Case-oriented computer-based-training in radiology: concept, implementation and evaluation.’ BMC Medical Education .
  • Dugas M, Weinzierl S, Pecar A, Hasford J. 2001. ‘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. 2001. ‘XML-based visualization of design and completeness in medical databases.’ Medical Informatics and the Internet in Medicine 26: 237-250.
  • Dugas M , Schoch C, Schnittger S, Kern W, Haferlach T, Messerer D, Überla K. 2001. ‘Impact of integrating clinical and genetic information.’Contributed to the German Conference on Bioinformatics (GCB 2001).
  • Dugas M, Demetz F, Christ F. 2000. „Online-Kurs Notfallmedizin: Kurrikulare Integration von Computer-Based-Training.“ Anaesthesist 2000, Nr. 49: 881-886.
  • Dugas M, Überla K. 2000. ‘An Intranet Tool for XML-based Data Modelling in Medicine.’ Medical Infobahn for Europe 2000, Nr. 77: 983-987.
  • Dugas M, Überla K. 1999. ‘Intranet Based Clinical Workstations.’ In Medical Informatics, Biostatistics and Epidemiology for Efficient Health Care and Medical Research, 235-238. München: Urban und Vogel.
  • Dugas M, Batschkus MM, Lyon HC Jr. 1999. ‘Mr. Lewis on the web - how to convert learning resources for intranet-technology.’ Medical Education 33, Nr. 1: 42-46.
  • Dugas M, Noachtar S. 1999. ‘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.
  • Heitmann KU, Morzinck T, Mösges R, Dugas M. 1999. „Intranet-Anwendungen am Universitätsklinikum Köln.“ In Herausforderungen in der Informationsverarbeitung an den Universitäten des Landes NRW, 58-65. Aachen: Shaker Verlag.
  • Dugas M, Bosch R, Paulus R, Lenz T. 1999. ‘Intranet-based multi-purpose medical records in Orthopedics.’ Medical Informatics 24, Nr. 4: 269-275.
  • Dugas M, Scheichenzuber J, Hornung H. 1999. ‘An Intranet-Based System for Quality Assurance in Surgery..’ J Med Syst 23, Nr. 1: 13-19.
  • Dugas M, Jacobs P. 1998. Pflegeinformationen per Computer.
  • Dugas M, Demant T. 1998. „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. 1998. ‘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. 1998. ‘An intranet-based information system for nurses.’ MD Computing 15, Nr. 3: 158-161.
  • Batschkus MM, Gumpinger M, Dugas M. 1998. „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. 1997. „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. 1997. ‘Clinical applications of Intranet-Technology.’ In New Technologies in Hospital Information Systems, 115-118.: IOS Press.
  • Dugas M, Überla K. 1997. „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. 1997. „Kommunikation im Gesundheitswesen: HTML-Anwendungen im Intranet.“ In Medizinische Dokumentation und Information, 1-21.
  • Dugas M, Batschkus MM, Lyon HC. 1997. „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. 1992. ‘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. 1992. ‘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. 1990. ‘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. 1990. ‘Sodium Channel Comodification with Full Activator reveals Veratridine Reaction Dynamics..’ Molecular Pharmacology 1990, Nr. 37: 144-148.
  • Dugas M, Honerjäger P, Masslich U. 1989. ‘Tetrodotoxin block of single germitrine-activated sodium channels in cultured rat cardiac cells..’ J Physiol 1989, Nr. 411: 611-626.

Betreute Arbeiten

Betreute Dissertationen

Sandmann, SarahEvaluating Variant Calling Tools for Non-Matched Next-Generation Sequencing Data2014 - 2017
Storck, MichaelODMSummary: A tool for automatic structured comparison of multiple medical forms based on semantic annotation with the Unified Medical Language System2017
Soto Rey, IñakiEfficiency and effectiveness evaluation of an automated multi-country patient count cohort system2016
Warlich, BenjaminHealth-Related Quality of Life in Chronic Pruritus: An Analysis Related to Disease Etiology, Clinical Skin Conditions and Itch Intensity2016
Tilahun, BinyamElectronic medical record system framework for low resource setting hospitals2016
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.2015
Bartenhagen, ChristophRobuste und genaue Detektion struktureller Varianten mit Paired-End- und Soft-Clip-Alignments: SoftSV im Vergleich mit acht Algorithmen2015
Heide, TobiasResearch Portals - Knowledge Access, Content Design, and Quality Management2011 - 2015
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.2015
Koch, RaphaelBayesianische Verfahren in pädiatrischen Studien Extrapolation historischer Informationen aus klinischen Studien an Erwachsenen und Kindern: Ergebnisse, Limitationen und Erweiterungen eines meta-analytisch prädiktiven Ansatzes2014
Breil, BernhardKIS-basierte Kaplan-Meier Kurven - Ein Single-Source Ansatz für die Dokumentation und Wiederverwendung von Überlebenszeitdaten2008 - 2011
Herzberg, SusanneKonzept und Implementierung eines Single Source Informationssystems in der Nuklearmedizin2010

Betreute Habilitationen

Majchrzak, Tim AlexanderSoftware Engineering für mobile Endgeräte2015
Reitz, ChristianeVascular Disease and Cognitive Impairment2009


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