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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
Published on: August 15, 2019
[Genetic mutation databases: stakes and perspectives for orphan genetic diseases].
V Humbertclaude1, S Tuffery-Giraud, C Bareil
1Laboratoire de Génétique Moléculaire, CHU de Montpellier, 34000 Montpellier, France. veronique.humbertclaude@inserm.fr
Pathologie-Biologie
|December 4, 2009
Summary
New technologies accelerate gene discovery, but managing this data is challenging. Locus Specific Databases (LSDBs) are key for organizing genetic variation data to advance medical research and personalized healthcare.
Area of Science:
- Genomics
- Bioinformatics
- Medical Genetics
Background:
- Advancements in mutation detection and gene analysis technologies are driving rapid discovery of disease genes and human genome variations.
- The exponential increase in genetic data presents a significant challenge for biological and medical sciences.
- Locus Specific Databases (LSDBs) have emerged as the most effective tools for managing mutation data.
Purpose of the Study:
- To review existing Locus Specific Databases (LSDBs) for analyzing mutations in genetic disorders.
- To discuss the challenges and future perspectives in genetic data management.
- To highlight the importance of comprehensive human genome variation data for future medical advancements.
Main Methods:
- Literature review of mutation databases.
- Analysis of Locus Specific Databases (LSDBs) and their functionalities.
- Discussion of current challenges and future trends in genetic data curation.
Main Results:
- LSDBs are the primary resource for cataloging gene-specific mutations.
- Various database types exist for analyzing mutations related to genetic disorders.
- Effective data management is crucial for enabling new therapeutic research.
Conclusions:
- Accurate and exhaustive collection of human genome variations is essential for advancing biological and medical research.
- LSDBs play a critical role in organizing and accessing mutation data.
- Future personalized healthcare relies heavily on robust genetic variation databases.
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