gms | German Medical Science

62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

17.09. - 21.09.2017, Oldenburg

Challenges and Recommendations for Managing Genomic High-Throughput Data in the Clinic

Meeting Abstract

  • Nadine Umbach - University Medical Center Göttingen, Department of Medical Informatics, Göttingen, Deutschland
  • Tim Beißbarth - University Medical Center Göttingen, Department of Medical Statistics, Göttingen, Deutschland
  • Gunnar Duttge - University of Göttingen, Center for Medical Law, Göttingen, Deutschland
  • Laura Flatau - University Medical Center Göttingen, Department of Psychiatry and Psychotherapy, Göttingen, Deutschland
  • Jessica Kuhn-Aldea - University of Göttingen, Center for Medical Law, Göttingen, Deutschland
  • Julia Perera-Bel - University Medical Center Göttingen, Department of Medical Statistics, Göttingen, Deutschland
  • Julia Roschauer - University of Göttingen, Center for Medical Law, Göttingen, Deutschland
  • Thomas G. Schulze - Ludwig-Maximilians-Universität München, Institute for Psychiatric Phenomics and Genomics, München, Deutschland
  • Mark Schweda - University Medical Center Göttingen, Department of Medical Ethics and History of Medicine, Göttingen, Deutschland
  • Julian Trostmann - Department of Medical Informatics, University Medical Center Goettingen, Goettingen, Germany, Göttingen, Deutschland; Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany, Göttingen, Deutschland
  • Alexander Urban - University Medical Center Göttingen, Department of Medical Ethics and History of Medicine, Göttingen, Deutschland
  • Anja Zimmermann - University of Göttingen, Center for Medical Law, Göttingen, Deutschland
  • Ulrich Sax - University Medical Center Göttingen, Department of Medical Informatics, Göttingen, Deutschland

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS). Oldenburg, 17.-21.09.2017. Düsseldorf: German Medical Science GMS Publishing House; 2017. DocAbstr. 294

doi: 10.3205/17gmds071, urn:nbn:de:0183-17gmds0712

Published: August 29, 2017

© 2017 Umbach et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

Introduction: Genomic high-throughput technologies (gHTT) such as next-generation sequencing promise the comprehensive understanding of complex diseases. However, with its increasing application, it is necessary to understand the challenges, limitations, and benefits patients, physicians and other professionals of the health care system are faced with in the implementation of gHTT in clinical practice. On the one hand, current infrastructure is not in place to support management, integration, and visualization of the increasing volume of complex data. On the other hand, the large pool of sensitive information remains difficult to interpret and raises novel, still unresolved ethical, social, and legal issues particularly regarding informed consent and privacy [1], [2], [3]. In the consortium “GenoPerspektiv” we have analyzed interdisciplinary challenges and provide direction regarding the clinical integration of gHTT.

Methods: With regard to the ethical and psycho-social implications, two different approaches were undertaken: First, moral attitudes, concerns, and demands in clinical settings were explored and analyzed by means of qualitative socio-empirical research. Secondly, a large-scale survey (n=1000) as quantitative instrument was conducted to analyze intrapersonal, interpersonal, and external factors. Furthermore, legal rights and obligations of patients, clinicians, and researchers have been analyzed especially the German Genetic Diagnostic Act, protection of data privacy, medical malpractice, and health insurance laws. In view of data management and reporting strategies, we have addressed the current situation, needs and possible solutions for the implementation of a practical and seamless pipeline from biorepositories over sequencing units to molecular tumor boards. Qualitative interviews with stakeholders with different background and on-site analysis of international medical centers representing a broad cross section of size and services were performed [4].

Results: To enable the effective clinical integration of gHTT, the following areas of action were identified:

  • Clear guidelines regarding test methodologies, quality of data, data storage, interfaces for seamless provision of data, and reporting in molecular tumor boards are mandatory [4], [5].
  • Integration, analysis, and interpretation of data requires profound knowledge in bioinformatics and in system biology. For this purpose, reliable databases of variants with accurate and consistent phenotypes are needed.
  • Collaborative working interactions with specialists across diverse disciplines will be a key requisite to ensure that interpretation is accurate and the relevant information is communicated. This interdisciplinary education in genomic medicine have to be embedded in researcher`s and physician`s curricula [5].
  • Moral concerns regarding the implications of gHTT for patient autonomy and informational self-determination, clinical utility and doctors’ professional roles and responsibilities have been identified and need closer ethical consideration.
  • Several difficulties and limits in applying current regulations and laws (e.g. concerning informed consent, the German Gene Diagnostic Act, protection of data privacy) have been identified. Refinements have been specified and discussed with patients as well as professionals of the healthcare system.

Discussion: Overall, we address bioinformatical, ethical, psycho-social and legal challenges and provide practical recommendations on how to deal with gHTT and corresponding data. Moreover, these findings that will guide the clinical integration of gHTT are elaborated and disseminated in close dialogue with patients, their relatives, and professionals of the health care system.

Acknowledgements:

This work was supported by the German Federal Ministry of Education and Research (BMBF) within the framework of the e:Med research and funding concept (grant number 01GP1402).

Die Autoren geben an, dass kein Interessenkonflikt besteht.

Die Autoren geben an, dass ein positives Ethikvotum vorliegt.


References

1.
Bowdin S, Gilbert A, Bedoukian E, Carew C, Adam MP, Belmont J, et al. Recommendations for the integration of genomics into clinical practice. Genet Med Off J Am Coll Med Genet. 2016;18(11):1075–84.
2.
Biesecker LG, Burke W, Kohane I, Plon SE, Zimmern R. Next-generation sequencing in the clinic: are we ready? Nat Rev Genet. 2012;13(11):818–24.
3.
The German Ethics Council. The future of genetic diagnosis – from research to clinical practice [Internet]. Available from: http://www.ethikrat.org/files/opinion-the-future-of-genetic-diagnosis.pdf (last accessed 24.04.2017) External link
4.
Umbach N, Löhnhardt B, Sax U. Managing OMICS-Data: Considerations for the Design of a Clinical Research IT-Infrastructure. Stud Health Technol Inform. 2015;216:668-71.
5.
Umbach N, Beissbarth T, Sax U. Molekularbiologische Daten aus Hochdurchsatz-Analysen. In: Drepper J, Semler SC, Hrsg. IT-Infrastrukturen in der patientenorientierten Forschung. Aktueller Stand und Handlungsbedarf 2016. Berlin: Aka Verlag; 2016. S. 115-42