Aim:No comprehensive and objective methods yet exist for predicting postoperative seizure. Patients & methods: mRNA-seq data and corresponding postoperative seizure status of 109 low-grade glioma samples were obtained from Chinese Glioma Genome Atlas database and divided into two sets randomly. Logistic regression and receiver operating characteristic analysis with risk score method were used to develop a ten-gene prediction model. Results: Considering gene number and area under the curve of receiver operating characteristic, a ten-gene model was generated which showed an area under the curve of 0.9965 in training set. Patients with high-risk scores had higher probability of postoperative seizure compared with those with low-risk scores. Conclusion: This is the first prediction model for postoperative seizures in gliomas, integrating multiple genes. Clinical application may help patients with postoperative seizure control. Seizure is a common presenting symptom of primary brain tumors. Seizure incidence varies with tumor type, grade and location. Low-grade tumors are more epileptogenic than high-grade tumors [1]. Although most patients (65-90%) with low-grade gliomas (LGGs) experience symptomatic seizures [2], many do not have seizures in spite of similar histology and tumor location. This indicates that the variability of seizure occurrence cannot be explained solely by peritumoral factors or histology, urging us to explore the genetic factors that may be associated with tumor-related seizure. The pathogenesis of tumor-related epilepsy seems to be different from that of idiopathic epilepsy, leading to distinct clinical characteristics and treatment [3].Seizure, as one of the most common postoperative symptom in patients with LGGs [4][5][6][7], when uncontrolled, would badly affect patients' quality of life (QOL), causing cognitive deterioration and may result in significant morbidity [8][9][10][11]. Postoperatively uncontrolled seizures and subsequent use of anti-epileptic drugs (AEDs) would continuously affect QOL and cognitive function [8,10]. Although two-thirds of patients with LGGs would experience seizures after surgery [3], not all LGGs are associated with postoperative seizures, despite of similar histology and tumor location. Therefore, predicting postoperative seizure in patients with diffuse LGGs is valuable [12].Driven by progress in next-generation sequencing, comprehensive interpretation of the tumor biology has been broadly deployed in various cancers [13]. Transcriptome sequencing, especially mRNA-seq, provides a lower cost, more precise insight into the complex transcriptome of the tumors on gene expression, etc. By combining the most advanced technology and the detailed follow-up of patients, we set out to predict the postoperative seizures status, which may help with seizure control postoperatively.