So rare we need to hunt for them: reframing the ethical debate on incidental findings
Incidental findings are the subject of intense ethical debate in medical genomic research. Every human genome contains a number of potentially disease-causing alterations that may be detected during comprehensive genetic analyses to investigate a specific condition. Yet available evidence shows that...
| Главные авторы: | ; ; ; ; ; ; ; ; ; ; |
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| Формат: | Электронный ресурс Статья |
| Язык: | Английский |
| Проверить наличие: | HBZ Gateway |
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| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Опубликовано: |
BioMed Central
[2015]
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| В: |
Genome medicine
Год: 2015, Том: 7, Страницы: 1-7 |
| Другие ключевые слова: | B
Health Relevance
B Genomic Research B Incidental Finding B Gene Panel B Research Participant |
| Online-ссылка: |
Presumably Free Access Volltext (lizenzpflichtig) |
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| 245 | 1 | 0 | |a So rare we need to hunt for them |b reframing the ethical debate on incidental findings |c Sebastian Schuol, Christoph Schickhardt, Stefan Wiemann, Claus R. Bartram, Klaus Tanner, Roland Eils, Benjamin Meder, Daniela Richter, Hanno Glimm, Christof von Kalle, Eva C. Winkler |
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| 520 | |a Incidental findings are the subject of intense ethical debate in medical genomic research. Every human genome contains a number of potentially disease-causing alterations that may be detected during comprehensive genetic analyses to investigate a specific condition. Yet available evidence shows that the frequency of incidental findings in research is much lower than expected. In this Opinion, we argue that the reason for the low level of incidental findings is that the filtering techniques and methods that are applied during the routine handling of genomic data remove these alterations. As incidental findings are systematically filtered out, it is now time to evaluate whether the ethical debate is focused on the right issues. We conclude that the key question is whether to deliberately target and search for disease-causing variations outside the indication that has originally led to the genetic analysis, for instance by using positive lists and algorithms. | ||
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