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Controlling my genome with my smartphone: first clinical experiences of the PROMISE system

BACKGROUND: The development of Precision Medicine strategies requires high-dimensional phenotypic and genomic data, both of which are highly privacy-sensitive data types. Conventional data management systems lack the capabilities to sufficiently handle the expected large quantities of such sensitive...

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Autores principales: Amr, Ali, Hinderer, Marc, Griebel, Lena, Deuber, Dominic, Egger, Christoph, Sedaghat-Hamedani, Farbod, Kayvanpour, Elham, Huhn, Daniel, Haas, Jan, Frese, Karen, Schweig, Marc, Marnau, Ninja, Krämer, Annika, Durand, Claudia, Battke, Florian, Prokosch, Hans-Ulrich, Backes, Michael, Keller, Andreas, Schröder, Dominique, Katus, Hugo A., Frey, Norbert, Meder, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151530/
https://www.ncbi.nlm.nih.gov/pubmed/34694434
http://dx.doi.org/10.1007/s00392-021-01942-8
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author Amr, Ali
Hinderer, Marc
Griebel, Lena
Deuber, Dominic
Egger, Christoph
Sedaghat-Hamedani, Farbod
Kayvanpour, Elham
Huhn, Daniel
Haas, Jan
Frese, Karen
Schweig, Marc
Marnau, Ninja
Krämer, Annika
Durand, Claudia
Battke, Florian
Prokosch, Hans-Ulrich
Backes, Michael
Keller, Andreas
Schröder, Dominique
Katus, Hugo A.
Frey, Norbert
Meder, Benjamin
author_facet Amr, Ali
Hinderer, Marc
Griebel, Lena
Deuber, Dominic
Egger, Christoph
Sedaghat-Hamedani, Farbod
Kayvanpour, Elham
Huhn, Daniel
Haas, Jan
Frese, Karen
Schweig, Marc
Marnau, Ninja
Krämer, Annika
Durand, Claudia
Battke, Florian
Prokosch, Hans-Ulrich
Backes, Michael
Keller, Andreas
Schröder, Dominique
Katus, Hugo A.
Frey, Norbert
Meder, Benjamin
author_sort Amr, Ali
collection PubMed
description BACKGROUND: The development of Precision Medicine strategies requires high-dimensional phenotypic and genomic data, both of which are highly privacy-sensitive data types. Conventional data management systems lack the capabilities to sufficiently handle the expected large quantities of such sensitive data in a secure manner. PROMISE is a genetic data management concept that implements a highly secure platform for data exchange while preserving patient interests, privacy, and autonomy. METHODS: The concept of PROMISE to democratize genetic data was developed by an interdisciplinary team. It integrates a sophisticated cryptographic concept that allows only the patient to grant selective access to defined parts of his genetic information with single DNA base-pair resolution cryptography. The PROMISE system was developed for research purposes to evaluate the concept in a pilot study with nineteen cardiomyopathy patients undergoing genotyping, questionnaires, and longitudinal follow-up. RESULTS: The safety of genetic data was very important to 79%, and patients generally regarded the data as highly sensitive. More than half the patients reported that their attitude towards the handling of genetic data has changed after using the PROMISE app for 4 months (median). The patients reported higher confidence in data security and willingness to share their data with commercial third parties, including pharmaceutical companies (increase from 5 to 32%). CONCLUSION: PROMISE democratizes genomic data by a transparent, secure, and patient-centric approach. This clinical pilot study evaluating a genetic data infrastructure is unique and shows that patient’s acceptance of data sharing can be increased by patient-centric decision-making. GRAPHIC ABSTRACT: [Image: see text]
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spelling pubmed-91515302022-06-01 Controlling my genome with my smartphone: first clinical experiences of the PROMISE system Amr, Ali Hinderer, Marc Griebel, Lena Deuber, Dominic Egger, Christoph Sedaghat-Hamedani, Farbod Kayvanpour, Elham Huhn, Daniel Haas, Jan Frese, Karen Schweig, Marc Marnau, Ninja Krämer, Annika Durand, Claudia Battke, Florian Prokosch, Hans-Ulrich Backes, Michael Keller, Andreas Schröder, Dominique Katus, Hugo A. Frey, Norbert Meder, Benjamin Clin Res Cardiol Original Paper BACKGROUND: The development of Precision Medicine strategies requires high-dimensional phenotypic and genomic data, both of which are highly privacy-sensitive data types. Conventional data management systems lack the capabilities to sufficiently handle the expected large quantities of such sensitive data in a secure manner. PROMISE is a genetic data management concept that implements a highly secure platform for data exchange while preserving patient interests, privacy, and autonomy. METHODS: The concept of PROMISE to democratize genetic data was developed by an interdisciplinary team. It integrates a sophisticated cryptographic concept that allows only the patient to grant selective access to defined parts of his genetic information with single DNA base-pair resolution cryptography. The PROMISE system was developed for research purposes to evaluate the concept in a pilot study with nineteen cardiomyopathy patients undergoing genotyping, questionnaires, and longitudinal follow-up. RESULTS: The safety of genetic data was very important to 79%, and patients generally regarded the data as highly sensitive. More than half the patients reported that their attitude towards the handling of genetic data has changed after using the PROMISE app for 4 months (median). The patients reported higher confidence in data security and willingness to share their data with commercial third parties, including pharmaceutical companies (increase from 5 to 32%). CONCLUSION: PROMISE democratizes genomic data by a transparent, secure, and patient-centric approach. This clinical pilot study evaluating a genetic data infrastructure is unique and shows that patient’s acceptance of data sharing can be increased by patient-centric decision-making. GRAPHIC ABSTRACT: [Image: see text] Springer Berlin Heidelberg 2021-10-25 2022 /pmc/articles/PMC9151530/ /pubmed/34694434 http://dx.doi.org/10.1007/s00392-021-01942-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Amr, Ali
Hinderer, Marc
Griebel, Lena
Deuber, Dominic
Egger, Christoph
Sedaghat-Hamedani, Farbod
Kayvanpour, Elham
Huhn, Daniel
Haas, Jan
Frese, Karen
Schweig, Marc
Marnau, Ninja
Krämer, Annika
Durand, Claudia
Battke, Florian
Prokosch, Hans-Ulrich
Backes, Michael
Keller, Andreas
Schröder, Dominique
Katus, Hugo A.
Frey, Norbert
Meder, Benjamin
Controlling my genome with my smartphone: first clinical experiences of the PROMISE system
title Controlling my genome with my smartphone: first clinical experiences of the PROMISE system
title_full Controlling my genome with my smartphone: first clinical experiences of the PROMISE system
title_fullStr Controlling my genome with my smartphone: first clinical experiences of the PROMISE system
title_full_unstemmed Controlling my genome with my smartphone: first clinical experiences of the PROMISE system
title_short Controlling my genome with my smartphone: first clinical experiences of the PROMISE system
title_sort controlling my genome with my smartphone: first clinical experiences of the promise system
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151530/
https://www.ncbi.nlm.nih.gov/pubmed/34694434
http://dx.doi.org/10.1007/s00392-021-01942-8
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