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HGVbase: a curated resource describing human DNA variation and phenotype relationships
1Center for Genomics and Bioinformatics, Karolinska Institute, Berzelius väg 35, S-171 77 Stockholm, Sweden.
Nucleic Acids Research
|December 19, 2003
Summary
The Human Genome Variation Database (HGVbase) now focuses on haplotypes, phenotypes, and genome-phenome data to advance common disease research. This evolution supports complex genetic studies by enabling efficient data storage and mining.
Area of Science:
- Genomics
- Bioinformatics
- Human Genetics
Background:
- The Human Genome Variation Database (HGVbase) has served as a curated resource for human DNA variation for over five years.
- Previous versions facilitated research into DNA sequence variation and human phenotypes, adapting to growing data volumes and types.
Purpose of the Study:
- To describe the evolving features of HGVbase, focusing on its shift towards haplotype and phenotype information.
- To detail technological advancements enabling efficient storage and data mining of large, complex datasets for genome-phenome research.
- To highlight the importance of open data sharing and precise phenotype definitions for understanding complex diseases.
Main Methods:
- Database evolution and feature enhancement.
- Implementation of new technologies for data storage and mining.
- Curated data collection focusing on haplotypes, phenotypes, and their relationships.
Main Results:
- HGVbase has shifted its focus to include comprehensive haplotype and phenotype data.
- Technological choices have been made to support efficient management of large and complex datasets.
- The database is positioned as a global resource for genome-phenome data, incorporating association data.
Conclusions:
- The enhanced HGVbase is crucial for advancing the understanding of complex diseases.
- Open sharing and precise phenotype definitions are vital for overcoming challenges in genetic association studies.
- The database's technological infrastructure supports the growing complexity and volume of genomic and phenomic data.