IDDB
IDDB curates genetic and clinical data on human infertility to support analysis of genetic determinants and clinical characteristics of reproductive disorders.
Key Features:
- Comprehensive Gene Repository: Contains 307 genes associated with human infertility and 1348 genes linked to reproductive disorders across nine model organisms.
- Chromosomal Abnormalities Data: Documents 202 chromosomal abnormalities contributing to human infertility, including aneuploidies and structural variants.
- Pathogenic Variants Collection: Aggregates 2078 pathogenic variants from patient samples associated with 60 diseases causing infertility.
- Clinical Characteristics Documentation: Links causative variants with laboratory indices and clinical manifestations from diagnosed infertility patients.
Scientific Applications:
- Genetic mechanism research: Facilitates investigation of genetic mechanisms underlying infertility using gene and variant data across humans and model organisms.
- Clinical interpretation and diagnosis: Supports clinical interpretation by associating pathogenic variants and chromosomal abnormalities with patient laboratory indices and clinical manifestations.
- Translational research: Enables linking disease phenotypes with genetic determinants to inform treatment strategies and translational studies.
Methodology:
Data were compiled via rigorous manual curation involving systematic collection and organization of genes, chromosomal abnormalities, pathogenic variants, and clinical characteristics.
Topics
Details
- Tool Type:
- api
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Wu J, Li D, Liu X, Li Q, He X, Wei J, Li X, Li M, Rehman AU, Xia Y, Wu C, Zhang J, Lu X. IDDB: a comprehensive resource featuring genes, variants and characteristics associated with infertility. Nucleic Acids Research. 2020;49(D1):D1218-D1224. doi:10.1093/nar/gkaa753. PMID:32941628. PMCID:PMC7779019.
DOI: 10.1093/nar/gkaa753
PMID: 32941628
PMCID: PMC7779019
Funding: - National Natural Science Foundation of China: 21778037, 81603023, 81721004, 81873856, 81925034
- Two-hundred Talent: 20191814
- Shanghai Health and Family Planning Commission: 2017YFC0908502, 20184Y0268
- Chinese National Precise Medical Research: 2017YFC0908500
- Shanghai Municipal Education Commission: 2019-01-07-00-01-E00036
- Shanghai Science and Technology Innovation: 19431901600
- Shanghai Health and Family Planning System Excellent Subject Leader and Excellent Young Medical Talents Training Program: 2018BR12, 2018ZX09711002-001-006
- Key New Drug Creation and Manufacturing Program: 2018ZX09711002
- Clinical Rese Clinical Research Program of 9th People's Hospital: JYLJ035