CITATION: Zheng, Z., Huang, D., Wang, J., Zhao, K., Zhou, Y., Guo, Z., ... & Li, M. J. (2020). QTLbase: an integrative resource for quantitative trait loci across multiple human molecular phenotypes. Nucleic acids research, 48(D1), D983-D991.
Transcriptional regulation
eQTL - gene expression
GTEx
URL : https://gtexportal.org/home/datasets
v9 Long Read RNASeq data from 88 GTEx tissue and cell line samples
CITATION: Glinos, D. A., Garborcauskas, G., Hoffman, P., Ehsan, N., Jiang, L., Gokden, A., ... & Cummings, B. B. (2022). Transcriptome variation in human tissues revealed by long-read sequencing. Nature, 608(7922), 353-359.
v8 Single-Tissue e/sQTL Data
CITATION: GTEx Consortium. (2020). The GTEx Consortium atlas of genetic regulatory effects across human tissues. Science, 369(6509), 1318-1330.
eQTLGen Consortium
URL : https://www.eqtlgen.org/
CITATION: Võsa, U., Claringbould, A., Westra, H. J., Bonder, M. J., Deelen, P., Zeng, B., ... & Franke, L. (2021). Large-scale cis-and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression. Nature genetics, 53(9), 1300-1310.
CITATION: Akbarian, S., Liu, C., Knowles, J. et al. The PsychENCODE project. Nat Neurosci 18, 1707–1712 (2015). https://doi.org/10.1038/nn.4156
sQTL - alternative splicing
GTEx v8 Single-Tissue e/sQTL Data
CITATION: GTEx Consortium. (2020). The GTEx Consortium atlas of genetic regulatory effects across human tissues. Science, 369(6509), 1318-1330.
BrainMeta sQTL & eQTL portal
DESCRIPTION: We developed a method, THISTLE, which uses individual-level genotype and RNA-seq data or summary-level isoform-eQTL data for splicing QTL (sQTL) mapping (Qi et al. 2022). We applied THISTLE, in combination with a complementary sQTL mapping strategy, for sQTL mapping using RNA-seq data of 2,865 brain cortex samples from 2,443 unrelated individuals of European ancestry with genome-wide SNP data. We also applied QTLtools for eQTL mapping using the same dataset. See “Tutorial” for the instructions to use this online portal. See “BESD files” for details to download the full sQTL or eQTL summary statistics in SMR binary (BESD) format.