Current challenges in handling genetic data
In no other field of biomedicine has such revolutionary change taken place in recent decades as it has in molecular genetics. The accumulated knowledge in this field will not only enable clinicians to make new treatment decisions in future, but will also help to save on healthcare costs. A pos...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SMW supporting association (Trägerverein Swiss Medical Weekly SMW)
2014-08-01
|
| Series: | Swiss Medical Weekly |
| Subjects: | |
| Online Access: | https://www.smw.ch/index.php/smw/article/view/1896 |
| _version_ | 1811194103075962880 |
|---|---|
| author | Patricia R. Blank Felix Gutzwiller |
| author_facet | Patricia R. Blank Felix Gutzwiller |
| author_sort | Patricia R. Blank |
| collection | DOAJ |
| description |
In no other field of biomedicine has such revolutionary change taken place in recent decades as it has in molecular genetics. The accumulated knowledge in this field will not only enable clinicians to make new treatment decisions in future, but will also help to save on healthcare costs. A positive test result will be the prerequisite for carrying out targeted drug treatment (companion diagnostics). Specific molecular diagnostics provide doctors with additional information that was not previously available, enabling them to optimise treatment accordingly. At the same time, prognostic tests mean that targeted preventive measures can be taken. Highly informative non-invasive tests will enable early detection and prevention to play a greater role. Technological breakthroughs, such as high-throughput sequencing, will lead to a flood of data in the future. The challenge lies in the quality of interpretation, which means extracting useful information for doctor and patient.
Unlike data collection, interpretation is complex and expensive: it requires a high degree of expertise and a lot of resources. At the same time, experts stress that – as well as improvements in the accuracy and speed of data analysis – defined quality criteria must be generated for reliable interpretation of results. These challenges need to be tackled so that the population can benefit to the utmost from the opportunities offered by these developments: rapidly available and informative tests for targeted therapies based on high-quality data.
|
| first_indexed | 2024-04-12T00:21:36Z |
| format | Article |
| id | doaj.art-b468e57676c14ec1832e8734b93bf72d |
| institution | Directory Open Access Journal |
| issn | 1424-3997 |
| language | English |
| last_indexed | 2024-04-12T00:21:36Z |
| publishDate | 2014-08-01 |
| publisher | SMW supporting association (Trägerverein Swiss Medical Weekly SMW) |
| record_format | Article |
| series | Swiss Medical Weekly |
| spelling | doaj.art-b468e57676c14ec1832e8734b93bf72d2022-12-22T03:55:43ZengSMW supporting association (Trägerverein Swiss Medical Weekly SMW)Swiss Medical Weekly1424-39972014-08-01144333410.4414/smw.2014.13998Current challenges in handling genetic dataPatricia R. BlankFelix Gutzwiller In no other field of biomedicine has such revolutionary change taken place in recent decades as it has in molecular genetics. The accumulated knowledge in this field will not only enable clinicians to make new treatment decisions in future, but will also help to save on healthcare costs. A positive test result will be the prerequisite for carrying out targeted drug treatment (companion diagnostics). Specific molecular diagnostics provide doctors with additional information that was not previously available, enabling them to optimise treatment accordingly. At the same time, prognostic tests mean that targeted preventive measures can be taken. Highly informative non-invasive tests will enable early detection and prevention to play a greater role. Technological breakthroughs, such as high-throughput sequencing, will lead to a flood of data in the future. The challenge lies in the quality of interpretation, which means extracting useful information for doctor and patient. Unlike data collection, interpretation is complex and expensive: it requires a high degree of expertise and a lot of resources. At the same time, experts stress that – as well as improvements in the accuracy and speed of data analysis – defined quality criteria must be generated for reliable interpretation of results. These challenges need to be tackled so that the population can benefit to the utmost from the opportunities offered by these developments: rapidly available and informative tests for targeted therapies based on high-quality data. https://www.smw.ch/index.php/smw/article/view/1896BiomarkerdataTest |
| spellingShingle | Patricia R. Blank Felix Gutzwiller Current challenges in handling genetic data Swiss Medical Weekly Biomarker data Test |
| title | Current challenges in handling genetic data |
| title_full | Current challenges in handling genetic data |
| title_fullStr | Current challenges in handling genetic data |
| title_full_unstemmed | Current challenges in handling genetic data |
| title_short | Current challenges in handling genetic data |
| title_sort | current challenges in handling genetic data |
| topic | Biomarker data Test |
| url | https://www.smw.ch/index.php/smw/article/view/1896 |
| work_keys_str_mv | AT patriciarblank currentchallengesinhandlinggeneticdata AT felixgutzwiller currentchallengesinhandlinggeneticdata |