Identification And Functional Analysis Of Genetic Markers In Cardiomyopathy Based On RNA-Seq Data

Cardiovascular disease has been a complex disease that is threatening human health for a long time.Cardiomyopathy occupies important position in the onset of cardiovascular disease(CVD)and its incidence is rising year by year.Cardiomyopathy is divided into secondary cardiomyopathy and primary cardiomyopathy.The most causes inducing secondary cardiomyopathy have been clear,while the etiology of primary cardiomyopathy is not yet clear.The dilated cardiomyopathy(DCM)and restrictive cardiomyopathy(RCM),we shall study,belong to the primary cardiomyopathy.Among them,the incidence of DCM accounts for more than 80% of the incidence of cardiomyopathy.Statistically,58.3% of cardiomyopathy patients die of DCM.The incidence of RCM only accounts for 4.5% of the incidence of cardiomyopathy,but it is the most serious type of primary cardiomyopathy and theprognosis is poor.Therefore,the researches on occurrence and development mechanism of two classes of primary cardiomyopathy are imperative.The transcriptome connectd genome genetic information with proteomics biological function.Compared to the genome,it is with time and space properties.So it is widely used in medicine,pathology,and medical related fields.With the loss of the cost of the second generation sequencing technology,the mass of the transcriptome sequencing provides important data for the research of the transcriptome.Through mining RNA–Seq data,we aim at studying and exploring the development mechanism of two types of primary cardiac disease(DCM and RCM).Eventually we can provide some new ideas for the accurate diagnosis,timely control,treatment and prognosis of the two types of primary cardiomyopathy including.Main research contents of this paper are as follows:(1)The standardization method of processing RNA-Seq data is used to screen and identify differentially expressed genes related to the DCM or RCM.As a result,we screened 451 differentially expressed genes related to DCM and 1326 differentially expressed genes related to RCM.(2)We constructed the co-expression network related to DCM and RCM using the differentially expressed genes,respectively.Through analyzing characteristics of the co-expression networks,we find out the key genes associated with DCM and RCM,respectively.These key genes may be genetic markers of DCM or RCM.We analyze the biological function of genetic markers for each disease,and their roles in the disease development.In addition,we analyze the biological function and roles in the disease development of genetic markers of DCM and RCM,respectively.(3)DCM and RCM genetic markers are compared from the angle of biological function and signal pathways,which provides some new ideas about distinguishing DCM from RCM in molecular level.