3 aQTL-atlas
3 aQTL-atlas catalogs and analyzes alternative polyadenylation quantitative trait loci (3'aQTLs) associated with 3′UTR alternative polyadenylation across human tissues using large-scale RNA-seq and genotype data.
Key Features:
- Large-Scale 3'aQTL Dataset: Contains approximately 1.49 million SNPs associated with alternative polyadenylation derived from 15,201 RNA-seq samples across 49 human tissues from 838 individuals in the Genotype-Tissue Expression (GTEx v8) project.
- APA–SNP Association Mapping: Links genetic variants to alternative polyadenylation events in target genes across multiple tissues.
- GWAS Colocalization Analysis: Enables identification of colocalization between genome-wide association study (GWAS) SNPs and 3'aQTLs to investigate genetic mechanisms underlying traits and diseases.
- Tissue-Specific APA Analysis: Provides tissue-resolved mapping of SNP effects on 3′UTR alternative polyadenylation patterns.
Scientific Applications:
- Functional Interpretation of Non-Coding Variants: Supports interpretation of GWAS-associated SNPs through their effects on alternative polyadenylation.
- Gene Regulation Studies: Enables investigation of genetic regulation of 3′UTR alternative polyadenylation across human tissues.
- Disease Genetics Research: Facilitates identification of susceptibility loci and regulatory mechanisms linking genetic variation to human traits and diseases.
Methodology:
The resource integrates genotype and RNA-seq data from the GTEx v8 project to identify SNP associations with alternative polyadenylation events across 49 tissues, generating genome-wide maps of 3 aQTLs and enabling colocalization analysis with GWAS variants.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 12/9/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Cui Y, Peng F, Wang D, Li Y, Li JS, Li L, Li W. 3′aQTL-atlas: an atlas of 3′UTR alternative polyadenylation quantitative trait loci across human normal tissues. Nucleic Acids Research. 2021;50(D1):D39-D45. doi:10.1093/nar/gkab740. PMID:34432052. PMCID:PMC8728222.
Downloads
- Downloads pagehttps://wlcb.oit.uci.edu/3aQTLatlas/Download.php