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The thyrotropin receptor mutation database: update 2003.
Dagmar Führer1, Peter Lachmund, Istvan-Tibor Nebel
1III. Department of Medicine, University of Leipzig, Leipzig, Germany.
Thyroid : Official Journal of the American Thyroid Association
|January 31, 2004
Summary
The updated TSHR mutation database now includes functional data for 65 mutations and detailed pedigrees for 40 cases. This resource aids research on thyroid-stimulating hormone receptor (TSHR) mutations and related conditions.
Area of Science:
- Endocrinology
- Genetics
- Bioinformatics
Background:
- The TSHR mutation database was initially created in 1999 to compile TSHR mutations and associated clinical conditions.
- The database has since garnered over 2887 users from 36 countries, contributing valuable suggestions.
Purpose of the Study:
- To present an updated and expanded version of the TSHR mutation database.
- To introduce novel features enhancing its utility for researchers and clinicians.
Main Methods:
- Compilation of detailed functional characteristics for 65 reported TSHR mutations (43 activating, 22 inactivating).
- Inclusion of 40 pedigrees with molecular, clinical, and treatment information for germline TSHR mutations.
- First-time compilation of site-directed mutagenesis studies.
- Integration of Medline-linked references and a user-friendly search tool.
- Development of an administrator tool for novel mutation submission.
Main Results:
- The database now comprehensively details 65 TSHR mutations, categorizing them as activating or inactivating.
- Extensive pedigree data provides insights into the molecular basis, clinical progression, and therapeutic strategies for TSHR-related disorders.
- The updated database offers enhanced search capabilities and facilitates the submission of new mutation data.
Conclusions:
- The enhanced TSHR mutation database serves as a valuable, centralized resource for studying TSHR genetics and associated endocrine diseases.
- The new features improve data accessibility, research collaboration, and the ongoing curation of TSHR mutation information.