title: [Prediction of the microRNAs related to cardiovascular diseases by bioinformatics].
abstract: OBJECTIVE
  To predict the microRNAs (miRNAs) related to cardiovascular diseases.
  
  
  METHODS
  Bioinformatics was used to find all cardiovascular disease related and cardiovascular function related protein-coding genes, and miRNAs were identified that localized the same transcription units as the above genes. Then other cardiovascular disease related miRNAs were identified by an miRNAs set and family analysis and Gene Ontology(GO).
  
  
  RESULTS
  Twenty potential cardiovascular disease related miRNAs were predicted from 626 cardiovascular disease related miRNAs, five of which had been confirmed by experiments.
  
  
  CONCLUSIONS
  This study is of great help for the diagnosis and research of cardiovascular diseases, but the final conclusion need to be confirmed by experiments.
authors.affiliation: Department of Geratology, Peking University Third Hospital, Beijing 100191, China.
authors.forename: Fan
authors.initials: F
authors.lastname: Zhang
authors.forename: Ming
authors.initials: M
authors.lastname: Lu
authors.forename: Qi-peng
authors.initials: QP
authors.lastname: Zhang
authors.forename: Fu-chun
authors.initials: FC
authors.lastname: Zhang
authors.forename: Wei
authors.initials: W
authors.lastname: Gao
authors.forename: Qing-hua
authors.initials: QH
authors.lastname: Cui
mesh_terms: D002318:Cardiovascular Diseases / Q000235:genetics*; D019295:Computational Biology / Q000379:methods*; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D006801:Humans; D035683:MicroRNAs / Q000235:genetics* / Q000502:physiology
chemical_list: D035683:MicroRNAs