TY - JOUR
T1 - FarmGTEx TWAS-server: An Interactive Web Server for Customized TWAS Analysis
AU - Zhang, Zhenyang
AU - Chen, Zitao
AU - Teng, Jinyan
AU - Liu, Shuli
AU - Lin, Qing
AU - Wu, Jun
AU - Gao, Yahui
AU - Bai, Zhonghao
AU - Li, Bingjie
AU - Liu, George
AU - Zhang, Zhe
AU - Pan, Yuchun
AU - Zhang, Zhe
AU - Fang, Lingzhao
AU - Wang, Qishan
PY - 2025/2/11
Y1 - 2025/2/11
N2 - Transcriptome-wide association study (TWAS) is a powerful approach for investigating the molecular mechanisms linking genetic loci to complex phenotypes. However, the complexity of the TWAS analytical pipeline including the construction of gene expression reference panels, gene expression prediction, and association analysis using data from genome-wide association studies (GWAS) poses challenges for genetic studies in many species. In this study, we provide the Farm Animal Genotype-Tissue Expression (FarmGTEx) TWAS-server, an interactive and user-friendly multispecies platform designed to streamline the translation of genetic findings across tissues and species. The server incorporates gene expression data from 49 human tissues (838 individuals), 34 pig tissues (5457 individuals), and 23 cattle tissues (4889 individuals), providing prediction models for 38,180 human genes, 21,037 pig genes, and 17,942 cattle genes. It supports genotype-based gene expression prediction, GWAS summary statistics imputation, customizable TWAS analysis, functional annotations, and result visualization. Additionally, we provide 479,203, 1208, and 657 tissue–gene–trait associations for 1129 humans traits, 41cattle traits, and 11 pigs traits, respectively. Utilizing the TWAS-server, we validated the association of the ABCD4 gene with pig teat numbers. Furthermore, we identified that pig backfat thickness may share genetic similarities with human diastolic blood pressure, sarcoidosis (Lofgren syndrome), and body mass index (BMI). The FarmGTEx TWAS-server offers a comprehensive and accessible platform for researchers to perform TWAS analyses across tissues and species. It is freely available at https://twas.farmgtex.org, with regular updates planned as the FarmGTEx project expands to include more species.
AB - Transcriptome-wide association study (TWAS) is a powerful approach for investigating the molecular mechanisms linking genetic loci to complex phenotypes. However, the complexity of the TWAS analytical pipeline including the construction of gene expression reference panels, gene expression prediction, and association analysis using data from genome-wide association studies (GWAS) poses challenges for genetic studies in many species. In this study, we provide the Farm Animal Genotype-Tissue Expression (FarmGTEx) TWAS-server, an interactive and user-friendly multispecies platform designed to streamline the translation of genetic findings across tissues and species. The server incorporates gene expression data from 49 human tissues (838 individuals), 34 pig tissues (5457 individuals), and 23 cattle tissues (4889 individuals), providing prediction models for 38,180 human genes, 21,037 pig genes, and 17,942 cattle genes. It supports genotype-based gene expression prediction, GWAS summary statistics imputation, customizable TWAS analysis, functional annotations, and result visualization. Additionally, we provide 479,203, 1208, and 657 tissue–gene–trait associations for 1129 humans traits, 41cattle traits, and 11 pigs traits, respectively. Utilizing the TWAS-server, we validated the association of the ABCD4 gene with pig teat numbers. Furthermore, we identified that pig backfat thickness may share genetic similarities with human diastolic blood pressure, sarcoidosis (Lofgren syndrome), and body mass index (BMI). The FarmGTEx TWAS-server offers a comprehensive and accessible platform for researchers to perform TWAS analyses across tissues and species. It is freely available at https://twas.farmgtex.org, with regular updates planned as the FarmGTEx project expands to include more species.
U2 - 10.1093/gpbjnl/qzaf006
DO - 10.1093/gpbjnl/qzaf006
M3 - Article
C2 - 39932890
SN - 1672-0229
VL - 23
JO - Genomics, Proteomics and Bioinformatics
JF - Genomics, Proteomics and Bioinformatics
IS - 1
M1 - qzaf006
ER -