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EICO (Expression-based Imprint Candidate Organizer): finding disease-related imprinted genes
Itoshi Nikaido1, Chika Saito, Akiko Wakamoto
1Division of Genomic Information Resource Exploration, Science of Biological Supramolecular Systems, Yokohama City University, Graduate School of Integrated Science, Yokohama, Kanagawa 230-0045, Japan.
Nucleic Acids Research
|December 19, 2003
Summary
We created EICO, a database for imprinted disease genes. It aids in understanding imprinting mechanisms in inherited traits using novel candidate genes and SNPs.
Area of Science:
- Genetics
- Genomics
- Bioinformatics
Background:
- Genomic imprinting is crucial for mammalian development and disease.
- Identifying imprinted genes and their roles is essential for understanding inherited traits.
Purpose of the Study:
- To develop an integrated database, EICO (Expression-based Imprint Candidate Organizer), for studying imprinted disease genes.
- To provide user-friendly interfaces for accessing and analyzing data on candidate imprinted genes and related genetic variations.
Main Methods:
- Integrated novel candidate imprinted genes from RIKEN microarray studies.
- Included validated single nucleotide polymorphisms (SNPs) for imprinting confirmation.
- Predicted physical positions of imprinting-related disease loci in mouse and human genomes.
- Developed two search interfaces: MuSCAT (SNP-central) and CITE (candidate gene-central).
Main Results:
- EICO database successfully integrates diverse data relevant to imprinted disease genes.
- User-friendly interfaces (MuSCAT and CITE) facilitate efficient data retrieval and analysis.
- Database is accessible via the web and DAS client software.
Conclusions:
- The EICO database and its interfaces facilitate the study of imprinting mechanisms in mammalian inherited traits.
- This resource aids researchers in identifying and characterizing imprinted disease genes.
- Facilitates understanding of the genetic basis of inherited diseases related to imprinting.