ipaQTL-atlas: an atlas of intronic polyadenylation quantitative trait loci across human tissues.
Nucleic Acids Res
; 51(D1): D1046-D1052, 2023 01 06.
Article
en En
| MEDLINE
| ID: mdl-36043442
ABSTRACT
Functional interpretation of disease-associated non-coding variants remains a significant challenge in the post-GWAS era. Our recent study has identified 3'UTR alternative polyadenylation (APA) quantitative trait loci (3'aQTLs) and connects APA events with QTLs as a major driver of human traits and diseases. Besides 3'UTR, APA events can also occur in intron regions, and increasing evidence has connected intronic polyadenylation with disease risk. However, systematic investigation of the roles of intronic polyadenylation in human diseases remained challenging due to the lack of a comprehensive database across a variety of human tissues. Here, we developed ipaQTL-atlas (http//bioinfo.szbl.ac.cn/ipaQTL) as the first comprehensive portal for intronic polyadenylation. The ipaQTL-atlas is based on the analysis of 15 170 RNA-seq data from 838 individuals across 49 Genotype-Tissue Expression (GTEx v8) tissues and contains â¼0.98 million SNPs associated with intronic APA events. It provides an interface for ipaQTLs search, genome browser, boxplots, and data download, as well as the visualization of GWAS and ipaQTL colocalization results. ipaQTL-atlas provides a one-stop portal to access intronic polyadenylation information and could significantly advance the discovery of APA-associated disease susceptibility genes.
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Intrones
/
Poliadenilación
/
Sitios de Carácter Cuantitativo
Límite:
Humans
Idioma:
En
Revista:
Nucleic Acids Res
Año:
2023
Tipo del documento:
Article
País de afiliación:
China