Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

piRNA-eQTL

General information

URL: http://njmu-edu.cn:3838/piRNA-eQTL/
Full name: PIWI-interacting RNA eQTL Database
Description: piRNA-eQTL aims to systematically evaluate the effects of germline genetic variants on PIWI-interacting RNA expression in 33 cancer types from The Cancer Genome Atlas (TCGA) database.
Year founded: 2021
Last update:
Version:
Accessibility:
Accessible
Country/Region: China

Classification & Tag

Data type:
RNA
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Nanjing Medical University
Address: School of Public Health, Nanjing Medical University 101 Longmian Avenue, Nanjing 211166, Nanjing, China
City:
Province/State:
Country/Region: China
Contact name (PI/Team): Junyi Xin
Contact email (PI/Helpdesk): junyixin123@126.com

Publications

33330918
Systematic evaluation of the effects of genetic variants on PIWI-interacting RNA expression across 33 cancer types. [PMID: 33330918]
Xin J, Du M, Jiang X, Wu Y, Ben S, Zheng R, Chu H, Li S, Zhang Z, Wang M.

PIWI-interacting RNAs (piRNAs) are an emerging class of non-coding RNAs involved in tumorigenesis. Expression quantitative trait locus (eQTL) analysis has been demonstrated to help reveal the genetic mechanism of single nucleotide polymorphisms (SNPs) in cancer etiology. However, there are no databases that have been constructed to provide an eQTL analysis between SNPs and piRNA expression. In this study, we collected genotyping and piRNA expression data for 10 997 samples across 33 cancer types from The Cancer Genome Atlas (TCGA). Using linear regression cis-eQTL analysis with adjustment of appropriate covariates, we identified millions of SNP-piRNA pairs in tumor (76 924 831) and normal (24 431 061) tissues. Further, we performed differential expression and survival analyses, and linked the eQTLs to genome-wide association study (GWAS) data to comprehensively decipher the functional roles of identified cis-piRNA eQTLs. Finally, we developed a user-friendly database, piRNA-eQTL (http://njmu-edu.cn:3838/piRNA-eQTL/), to help users query, browse and download corresponding eQTL results. In summary, piRNA-eQTL could serve as an important resource to assist the research community in understanding the roles of genetic variants and piRNAs in the development of cancers.

Nucleic Acids Res. 2021:49(1) | 29 Citations (from Europe PMC, 2026-01-03)

Ranking

All databases:
2010/6932 (71.018%)
Expression:
413/1361 (69.728%)
Health and medicine:
495/1755 (71.852%)
2010
Total Rank
29
Citations
5.8
z-index

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Record metadata

Created on: 2021-10-19
Curated by:
Dong Zou [2021-10-24]
Dong Zou [2021-10-19]