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Database Profile

Pancan-MNVQTLdb

General information

URL: http://gong_lab.hzau.edu.cn/mnvQTLdb
Full name: A database to evaluate the effects of MNVs on multiple molecular phenotypes
Description: Pancan-MNVQTLdb includes 1397821 cis-MNVQTLs and 402381 trans-MNVQTLs in total. By mapping MNVQTLs with GWAS loci, we obtained 119762 MNVQTLs located in GWAS LD regions. By integrating MNVs with clinical survival data, we also identified 46173 survival-related MNVQTLs. Pancan-MNVQTLdb is a user-friendly database providing a comprehensive resource of MNVQTLs across 33 human cancer types. We are committed to helping researchers investigate the biological mechanisms of causal variants and guide the direction of functional validation.
Year founded: 2022
Last update:
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Accessible
Country/Region: China

Classification & Tag

Data type:
DNA
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Contact information

University/Institution: Huazhong Agricultural University
Address:
City:
Province/State:
Country/Region: China
Contact name (PI/Team): Jing Gong
Contact email (PI/Helpdesk): gong.jing@mail.hzau.edu.cn

Publications

36568962
Pancan-MNVQTLdb: systematic identification of multi-nucleotide variant quantitative trait loci in 33 cancer types. [PMID: 36568962]
Dongyang Wang, Wen Cao, Wenqian Yang, Weiwei Jin, Haohui Luo, Xiaohui Niu, Jing Gong

Multi-nucleotide variants (MNVs) are defined as clusters of two or more nearby variants existing on the same haplotype in an individual. Recent studies have identified millions of MNVs in human populations, but their functions remain largely unknown. Numerous studies have demonstrated that single-nucleotide variants could serve as quantitative trait loci (QTLs) by affecting molecular phenotypes. Therefore, we propose that MNVs can also affect molecular phenotypes by influencing regulatory elements. Using the genotype data from The Cancer Genome Atlas (TCGA), we first identified 223 759 unique MNVs in 33 cancer types. Then, to decipher the functions of these MNVs, we investigated the associations between MNVs and six molecular phenotypes, including coding gene expression, miRNA expression, lncRNA expression, alternative splicing, DNA methylation and alternative polyadenylation. As a result, we identified 1 397 821 -MNVQTLs and 402 381 -MNVQTLs. We further performed survival analysis and identified 46 173 MNVQTLs associated with patient overall survival. We also linked the MNVQTLs to genome-wide association studies (GWAS) data and identified 119 762 MNVQTLs that overlap with existing GWAS loci. Finally, we developed Pancan-MNVQTLdb (http://gong_lab.hzau.edu.cn/mnvQTLdb/) for data retrieval and download. Pancan-MNVQTLdb will help decipher the functions of MNVs in different cancer types and be an important resource for genetic and cancer research.

NAR Cancer. 2022:4(4) | 0 Citations (from Europe PMC, 2024-12-21)

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Record metadata

Created on: 2023-08-22
Curated by:
Yuanyuan Cheng [2023-09-11]
Yuxin Qin [2023-09-07]
Yue Qi [2023-08-22]