FertilityOnline
FertilityOnline consolidates literature-curated functional genes and genetic variant information to support analysis of genetic determinants of human spermatogenesis and male infertility.
Key Features:
- Integrated Database: Combines literature-curated functional genes involved in spermatogenesis with genetic variant information for human genes and integrates these data with SpermatogenesisOnline 1.0.
- Functional Annotation and Genetic Variants: Provides detailed functional annotations and genetic variant data to facilitate identification and interpretation of potential disease-causing mutations.
- Cross-species Knowledge Integration: Bridges knowledge between human and animal model data to aid interpretation of gene function in spermatogenesis.
- Clinical Mutation Identification: Has been used to identify novel causative mutations in proteins such as synaptonemal complex central element protein 1 (SYCE1) and stromal antigen 3 (STAG3) implicated in azoospermia.
Scientific Applications:
- Genetic basis analysis of spermatogenesis: Supports discovery and prioritization of candidate genes underlying male infertility.
- Clinical variant interpretation: Enables identification and contextualization of disease-causing mutations in infertile men, including mutations in SYCE1 and STAG3 associated with azoospermia.
- Comparative functional analysis: Facilitates comparison of gene function between humans and animal models to inform spermatogenesis research.
Methodology:
Curated literature on functional genes during spermatogenesis and integrated these data into the SpermatogenesisOnline 1.0 database.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 6/7/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Gao J, Zhang H, Jiang X, Ali A, Zhao D, Bao J, Jiang L, Iqbal F, Shi Q, Zhang Y. FertilityOnline: A Straightforward Pipeline for Functional Gene Annotation and Disease Mutation Discovery. Genomics, Proteomics & Bioinformatics. 2021;20(3):455-465. doi:10.1016/j.gpb.2021.08.010. PMID:34954426. PMCID:PMC9801063.
PMID: 34954426
PMCID: PMC9801063
Funding: - National Key R&D Program of China: 2016YFC1000600, 2017YFC1001500, 2018YFC1003700, 2018YFC1004700
- National Natural Science Foundation of China: 31630050, 31771668, 31871514, 31890780, 82071709
- Fundamental Research Funds for the Central Universities: YD2070002006
- National Key Research and Development Program of China: 2016YFC1000600, 2017YFC1001500, 2018YFC1003700, 2018YFC1004700