postGWAS: A web server for deciphering the causality post the genome-wide association studies

Tao Wang, Zhihao Yan, Yiming Zhang, Zhuofei Lou, Xiaozhu Zheng, Duoduo Mai, Yongtian Wang, Xuequn Shang, Bing Xiao, Jiajie Peng, Jin Chen

Abstract: Highlights•A cutting-edge web server, postGWAS, has been developed for post-GWAS analysis.•The postGWAS server outperforms other advanced servers by integrating a wider range of analysis methods.•The postGWAS server is particularly useful in deciphering the causal relationships that are often obscured by GWAS signals.•The postGWAS server offers user-friendly and flexible interface, making it easier to gain insights from GWAS data.