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Gong J, Mei S, Liu C, et al. PancanQTL: systematic identification of cis-eQTLs and trans-eQTLs in 33 cancer types. Nucleic Acids Res. 2018;46:D971-D976doi: 10.1093/nar/gkx861.
Gong, J., Mei, S., Liu, C., Xiang, Y., Ye, Y., Zhang, Z., Feng, J., Liu, R., Diao, L., Guo, A. Y., Miao, X., & Han, L. (2018). PancanQTL: systematic identification of cis-eQTLs and trans-eQTLs in 33 cancer types. Nucleic acids research, 46D971-D976. https://doi.org/10.1093/nar/gkx861
Gong, Jing, et al. "PancanQTL: systematic identification of cis-eQTLs and trans-eQTLs in 33 cancer types." Nucleic acids research vol. 46 (2018): D971-D976. doi: https://doi.org/10.1093/nar/gkx861
Gong J, Mei S, Liu C, Xiang Y, Ye Y, Zhang Z, Feng J, Liu R, Diao L, Guo AY, Miao X, Han L. PancanQTL: systematic identification of cis-eQTLs and trans-eQTLs in 33 cancer types. Nucleic Acids Res. 2018 Jan 04;46:D971-D976. doi: 10.1093/nar/gkx861. PMID: 29036324; PMCID: PMC5753226.
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Nucleic Acids Res. 2018 Jan 04;46:D971-D976. doi: 10.1093/nar/gkx861.

PancanQTL: systematic identification of cis-eQTLs and trans-eQTLs in 33 cancer types.

Nucleic acids research

Jing Gong, Shufang Mei, Chunjie Liu, Yu Xiang, Youqiong Ye, Zhao Zhang, Jing Feng, Renyan Liu, Lixia Diao, An-Yuan Guo, Xiaoping Miao, Leng Han

Affiliations

  1. Department of Epidemiology and Biostatistics, Key Laboratory of Environmental Health of Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, PR China.
  2. Department of Biochemistry and Molecular Biology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  3. Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
  4. Department of Pharmacology, State University of New York Upstate Medical University, Syracuse, NY 13210, USA.
  5. Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

PMID: 29036324 PMCID: PMC5753226 DOI: 10.1093/nar/gkx861

Abstract

Expression quantitative trait locus (eQTL) analysis, which links variations in gene expression to genotypes, is essential to understanding gene regulation and to interpreting disease-associated loci. Currently identified eQTLs are mainly in samples of blood and other normal tissues. However, no database comprehensively provides eQTLs in large number of cancer samples. Using the genotype and expression data of 9196 tumor samples in 33 cancer types from The Cancer Genome Atlas (TCGA), we identified 5 606 570 eQTL-gene pairs in the cis-eQTL analysis and 231 210 eQTL-gene pairs in the trans-eQTL analysis. We further performed survival analysis and identified 22 212 eQTLs associated with patient overall survival. Furthermore, we linked the eQTLs to genome-wide association studies (GWAS) data and identified 337 131 eQTLs that overlap with existing GWAS loci. We developed PancanQTL, a user-friendly database (http://bioinfo.life.hust.edu.cn/PancanQTL/), to store cis-eQTLs, trans-eQTLs, survival-associated eQTLs and GWAS-related eQTLs to enable searching, browsing and downloading. PancanQTL could help the research community understand the effects of inherited variants in tumorigenesis and development.

© The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

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