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. 2023 Aug 23;3(10):100385. doi: 10.1016/j.xgen.2023.100385
REAGENT or RESOURCE SOURCE IDENTIFIER
Deposited data

RNA-seq data This study NCBI SRA BioProject accessions: PRJNA392196, PRJNA616134, PRJNA305942, PRJNA392196, PRJNA917329
Linear mixed model-based Summary statistics of mapped eQTLs and sQTLs from each of the 16 tissue and the multi-tissue analysis This study https://melbourne.figshare.com/articles/dataset/eQTL_and_sQTL_from_16_cattle_tissues_linear_mixed_model_/19793047 (https://doi.org/10.26188/19793047)
Cattle GTEx RNA-seq data and summary stats Liu et al.8 http://cgtex.roslin.ed.ac.uk/
DNA sequence of 1000 Bull Genome Daetwyler et al.1,2 https://www.ebi.ac.uk/eva/?eva-study=PRJEB42783

Software and algorithms

Customsed code related to heritability analyses This study https://github.com/rxiangr/e-sQTL_h2 (https://sandbox.zenodo.org/account/settings/github/repository/rxiangr/e-sQTL_h2 or https://doi.org/10.5072/zenodo.1219141)
Code to implement Coloc by Cattle GTEx Liu et al.8 https://github.com/shuliliu/cattleGTEx/tree/master/GWAS_eQTLs/Coloc (https://zenodo.org/badge/latestdoi/484289386)
Coloc Giambartolomei et al.29 https://cran.r-project.org/web/packages/coloc/vignettes/a01_intro.html
PLINK Chang et al.43 https://www.cog-genomics.org/plink/
GCTA Yang et al.3 https://yanglab.westlake.edu.cn/software/gcta/#Overview
BayesRC MacLeod et al.4 https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-2443-6
METAL Willer et al.44 https://genome.sph.umich.edu/wiki/METAL_Documentation
LDSC Finucane et al.20 https://github.com/bulik/ldsc
FastQTL Ongen et al.45 https://github.com/francois-a/fastqtl