In this study, we converted SNPs with nominal relevance significance from the AF-associated GWAS data into the GWAS discovery set using ProxyGeneLD, followed by merging with the AF-associated modules constructed by WGCNA, and finally obtained two newly AF-associated biomarkers ERBB2 and MYPN. This study offers a systemic analytical method for revealing hidden AF-associated genes from GWAS and expression profile data. The gene discussed is ERBB2; the disease is atrial fibrillation.