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Sport and exercise genomics: the FIMS 2019 consensus statement update
Rapid advances in technologies in the field of genomics such as high throughput DNA sequencing, big data processing by machine learning algorithms and gene-editing techniques are expected to make precision medicine and gene-therapy a greater reality. However, this development will raise many importa...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418627/ https://www.ncbi.nlm.nih.gov/pubmed/32201388 http://dx.doi.org/10.1136/bjsports-2019-101532 |
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author | Tanisawa, Kumpei Wang, Guan Seto, Jane Verdouka, Ioanna Twycross-Lewis, Richard Karanikolou, Antonia Tanaka, Masashi Borjesson, Mats Di Luigi, Luigi Dohi, Michiko Wolfarth, Bernd Swart, Jeroen Bilzon, James Lee John Badtieva, Victoriya Papadopoulou, Theodora Casasco, Maurizio Geistlinger, Michael Bachl, Norbert Pigozzi, Fabio Pitsiladis, Yannis |
author_facet | Tanisawa, Kumpei Wang, Guan Seto, Jane Verdouka, Ioanna Twycross-Lewis, Richard Karanikolou, Antonia Tanaka, Masashi Borjesson, Mats Di Luigi, Luigi Dohi, Michiko Wolfarth, Bernd Swart, Jeroen Bilzon, James Lee John Badtieva, Victoriya Papadopoulou, Theodora Casasco, Maurizio Geistlinger, Michael Bachl, Norbert Pigozzi, Fabio Pitsiladis, Yannis |
author_sort | Tanisawa, Kumpei |
collection | PubMed |
description | Rapid advances in technologies in the field of genomics such as high throughput DNA sequencing, big data processing by machine learning algorithms and gene-editing techniques are expected to make precision medicine and gene-therapy a greater reality. However, this development will raise many important new issues, including ethical, moral, social and privacy issues. The field of exercise genomics has also advanced by incorporating these innovative technologies. There is therefore an urgent need for guiding references for sport and exercise genomics to allow the necessary advancements in this field of sport and exercise medicine, while protecting athletes from any invasion of privacy and misuse of their genomic information. Here, we update a previous consensus and develop a guiding reference for sport and exercise genomics based on a SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis. This SWOT analysis and the developed guiding reference highlight the need for scientists/clinicians to be well-versed in ethics and data protection policy to advance sport and exercise genomics without compromising the privacy of athletes and the efforts of international sports federations. Conducting research based on the present guiding reference will mitigate to a great extent the risks brought about by inappropriate use of genomic information and allow further development of sport and exercise genomics in accordance with best ethical standards and international data protection principles and policies. This guiding reference should regularly be updated on the basis of new information emerging from the area of sport and exercise medicine as well as from the developments and challenges in genomics of health and disease in general in order to best protect the athletes, patients and all other relevant stakeholders. |
format | Online Article Text |
id | pubmed-7418627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-74186272020-08-18 Sport and exercise genomics: the FIMS 2019 consensus statement update Tanisawa, Kumpei Wang, Guan Seto, Jane Verdouka, Ioanna Twycross-Lewis, Richard Karanikolou, Antonia Tanaka, Masashi Borjesson, Mats Di Luigi, Luigi Dohi, Michiko Wolfarth, Bernd Swart, Jeroen Bilzon, James Lee John Badtieva, Victoriya Papadopoulou, Theodora Casasco, Maurizio Geistlinger, Michael Bachl, Norbert Pigozzi, Fabio Pitsiladis, Yannis Br J Sports Med Review Rapid advances in technologies in the field of genomics such as high throughput DNA sequencing, big data processing by machine learning algorithms and gene-editing techniques are expected to make precision medicine and gene-therapy a greater reality. However, this development will raise many important new issues, including ethical, moral, social and privacy issues. The field of exercise genomics has also advanced by incorporating these innovative technologies. There is therefore an urgent need for guiding references for sport and exercise genomics to allow the necessary advancements in this field of sport and exercise medicine, while protecting athletes from any invasion of privacy and misuse of their genomic information. Here, we update a previous consensus and develop a guiding reference for sport and exercise genomics based on a SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis. This SWOT analysis and the developed guiding reference highlight the need for scientists/clinicians to be well-versed in ethics and data protection policy to advance sport and exercise genomics without compromising the privacy of athletes and the efforts of international sports federations. Conducting research based on the present guiding reference will mitigate to a great extent the risks brought about by inappropriate use of genomic information and allow further development of sport and exercise genomics in accordance with best ethical standards and international data protection principles and policies. This guiding reference should regularly be updated on the basis of new information emerging from the area of sport and exercise medicine as well as from the developments and challenges in genomics of health and disease in general in order to best protect the athletes, patients and all other relevant stakeholders. BMJ Publishing Group 2020-08 2020-03-22 /pmc/articles/PMC7418627/ /pubmed/32201388 http://dx.doi.org/10.1136/bjsports-2019-101532 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Review Tanisawa, Kumpei Wang, Guan Seto, Jane Verdouka, Ioanna Twycross-Lewis, Richard Karanikolou, Antonia Tanaka, Masashi Borjesson, Mats Di Luigi, Luigi Dohi, Michiko Wolfarth, Bernd Swart, Jeroen Bilzon, James Lee John Badtieva, Victoriya Papadopoulou, Theodora Casasco, Maurizio Geistlinger, Michael Bachl, Norbert Pigozzi, Fabio Pitsiladis, Yannis Sport and exercise genomics: the FIMS 2019 consensus statement update |
title | Sport and exercise genomics: the FIMS 2019 consensus statement update |
title_full | Sport and exercise genomics: the FIMS 2019 consensus statement update |
title_fullStr | Sport and exercise genomics: the FIMS 2019 consensus statement update |
title_full_unstemmed | Sport and exercise genomics: the FIMS 2019 consensus statement update |
title_short | Sport and exercise genomics: the FIMS 2019 consensus statement update |
title_sort | sport and exercise genomics: the fims 2019 consensus statement update |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418627/ https://www.ncbi.nlm.nih.gov/pubmed/32201388 http://dx.doi.org/10.1136/bjsports-2019-101532 |
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