bioRxivBioinformaticsPreprint
FarmGTEx TWAS-server: an interactive web server for customized TWAS analysis in both human and farm animals
Zhe ZhangiD, Zitao CheniD, Jinyan TengiD, Shuli LiuiD, Qing LiniD, Yahui GaoiD, Zhonghao BaiiD, Bingjie LiiD, George E. LiuiD, Yuchun PaniD, Lingzhao FangiD, Qishan WangiD
Abstract
Transcriptome-wide association study (TWAS) is a powerful strategy for elucidating the molecular mechanisms behind the genetic loci of complex phenotypes. However, TWAS analysis is still daunting in many species due to the complication of the TWAS analysis pipeline, including the construction of the gene expression reference panel, gene expression prediction, and the subsequent association analysis in the large cohorts of genome-wide association study (GWAS). Farm animals are major protein sources and biomedical models for humans. To facilitate the translation of genetic findings across species, here we provide an interactive and easy-to-use multi-species TWAS web server for the entire community, called the FarmGTEx TWAS-server (http://twas.farmgtex.org), which is based on the GTEx and FarmGTEx projects. It includes gene expression data from 49, 34, and 23 tissues in 838 humans, 5,457 pigs, and 4,889 cattle, representing 38,180, 21,037, and 17,942 distinct eGenes in prediction models for humans, pigs, and cattle, respectively. It allows users to conduct gene expression prediction for any individuals with genotypes, GWAS summary statistics imputation, customized TWAS, and popular downstream functional annotation. It also provides 479,203, 1,208, and 657 tissue-gene-trait association trios for the research community, representing 1,129 human traits, 41 cattle traits, and 11 pig traits. In summary, the FarmGTEx TWAS-server is a one-stop solution for performing TWAS analysis for researchers without programming skills in both human and farm animal research communities. It will be maintained and updated timely within the FarmGTEx project to facilitate gene mapping and phenotype prediction within and across species.
- organism: human
- organism: plant (other)
- assay: bulk RNA-seq
- research focus: GWAS / association mapping
- research focus: eQTL / molecular QTL mapping
- research focus: database / resource
- research focus: benchmarking
- approach: statistical model
- Citations
- 7
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