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. 2022 Jul 1;31(R1):R22–R36. doi: 10.1093/hmg/ddac140

Table 1.

Available QTL-based datasets for lung cancer post-GWAS studies

Resources Brief information Data storage/links
GTEx v8 Samples were collected from 54 tissues across 838 donors, mainly for eQTL and sQTL datasets, including 515 lung samples https://gtexportal.org/home/
Hao et al. Lung eQTL datasets from 1111 European ancestry individuals who underwent lung resectional surgery (non-tumor lung tissue samples). The majority were smokers or former smokers https://pubmed.ncbi.nlm.nih.gov/23209423/
Luo et al. Human small (n = 112) and large airway (n = 40) epithelial cells eQTL datasets Data stored in NCBI GSE5057 and GSE40364
Shi et al. Histologically normal human lung tissues (n = 210) meQTL datasets of European ancestry individuals. Mostly smokers (n = 206) Data stored in dbGAP phs000093.v2.p2 and GSE52401
Morrow et al. Lung meQTL datasets from 116 European ancestry individuals (90 COPD cases and 36 controls). All were smokers https://pubmed.ncbi.nlm.nih.gov/29313708/
PancanQTL Comprehensive database for cis-eQTLs and trans-eQTLs in 33 cancer types from TCGA, including LUAD (n = 514) and LUSC (n = 500) http://gong_lab.hzau.edu.cn/PancanQTL/