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Novel LOVD databases for hereditary breast cancer and colorectal cancer genes in the Chinese population
- Source :
- Human Mutation. 32:1335-1340
- Publication Year :
- 2011
- Publisher :
- Hindawi Limited, 2011.
-
Abstract
- The Human Variome Project (HVP) is an international consortium of clinicians, geneticists, and researchers from over 30 countries, aiming to facilitate the establishment and maintenance of standards, systems, and infrastructure for the worldwide collection and sharing of all genetic variations effecting human disease. The HVP-China Node will build new and supplement existing databases of genetic diseases. As the first effort, we have created a novel variant database of BRCA1 and BRCA2, mismatch repair genes (MMR), and APC genes for breast cancer, Lynch syndrome, and familial adenomatous polyposis (FAP), respectively, in the Chinese population using the Leiden Open Variation Database (LOVD) format. We searched PubMed and some Chinese search engines to collect all the variants of these genes in the Chinese population that have already been detected and reported. There are some differences in the gene variants between the Chinese population and that of other ethnicities. The database is available online at http://www.genomed.org/LOVD/. Our database will appear to users who survey other LOVD databases (e.g., by Google search, or by NCBI GeneTests search). Remote submissions are accepted, and the information is updated monthly.
- Subjects :
- China
Genes, APC
Genes, BRCA2
Population
Genes, BRCA1
Human Variome Project
MEDLINE
Breast Neoplasms
Disease
Biology
computer.software_genre
Bioinformatics
DNA Mismatch Repair
Familial adenomatous polyposis
Breast cancer
Asian People
Databases, Genetic
Genetics
medicine
Humans
Genetic Predisposition to Disease
education
Genetics (clinical)
education.field_of_study
Database
Genetic Variation
medicine.disease
Colorectal Neoplasms, Hereditary Nonpolyposis
Lynch syndrome
Adenomatous Polyposis Coli
Female
Leiden Open Variation Database
computer
Subjects
Details
- ISSN :
- 10597794
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- Human Mutation
- Accession number :
- edsair.doi.dedup.....6dcc3b0bf5e9aac664a7f8fb67879fbf
- Full Text :
- https://doi.org/10.1002/humu.21588