Objective To compare the clinical features of drug induced hepatitis caused by traditional Chinese medicines (TCM) and western medicines. Methods A total of 181 patients hospitalized with drug in-duced hepatitis between January and December 2015 were enrolled. Among the patients ,75 cases were in TCM group,66 cases in western medicine group and 40 cases in combined group(accepted both TCM and western medi-cine treatment). Liver biopsies were performed and Roussed Uclaf Causality Assessment Method (RUCAM) scores showed that all patients were with scores higher than 3. The data including gender,age,clinical manifesta-tions,physical signs,laboratory tests and image characteristics were analyzed individually. Results There was no significant difference in age,the pattern of liver injury,and the course of liver damage among the three groups (P>0.05). Anorexia was common symptom in all the three groups without any significant difference(P>0.05). Jaundice was most frequently observed in TCM group while fever was most commonly found in western medicine group,which both had significant difference(P< 0.05). The results of routine coagulation tests and serum albu-min values were normal in 3 group with increasing level of aminotransferase observed ,and there was no significant differences among 3 groups(P>0.05). Compared with western medicine group ,the patients in TCM group had a higher level of platelet counts ,serum levels of total bilirubin ,total bile acids(TBA)and serum iron(P<0.05), and less proportion of eosinophils and lower level alkaline phosphatase(P< 0.05). Conclusions The age,the pattern of liver injury,the course of liver damage and aminotransferase levels in patients with drug induced hepati-tis caused by TCM and western medicines were similar;however,western medicines were more likely to cause al-lergic responses and hyperbilirubinemia occurred more frequently in patients with drug induced hepatitis caused by TCM.

Along with the develoipment of high-throughput sequencing technologies, both sample size and SNP number are increasing rapidly in genome-wide association studies (GWAS), and the associated computation is more challenging than ever. Here, we present a memory-efficient, visualization-enhanced, and parallel-accelerated R package called"rMVP"to address the need for improved GWAS computation. rMVP can 1) effectively process large GWAS data, 2) rapidly evaluate population structure, 3) efficiently estimate variance components by Efficient Mixed-Model Association eX-pedited (EMMAX), Factored Spectrally Transformed Linear Mixed Models (FaST-LMM), and Haseman-Elston (HE) regression algorithms, 4) implement parallel-accelerated association tests of markers using general linear model (GLM), mixed linear model (MLM), and fixed and random model circulating probability unification (FarmCPU) methods, 5) compute fast with a globally efficient design in the GWAS processes, and 6) generate various visualizations of GWAS-related information. Accelerated by block matrix multiplication strategy and multiple threads, the association test methods embedded in rMVP are significantly faster than PLINK, GEMMA, and FarmCPU_pkg. rMVP is freely available at https://github.com/xiaolei-lab/rMVP.