How to Build CHD@ZJU

CHD related Articles were retrieved from Pubmed, by entering keywords "coronary heart disease" and constrict the publish date from 2000/1/1 to now (2013/1/23). As a result, totally 115898 articles were found and their abstracts were downloaded for text mining. Since some articles didn't contain abstracts, only 88396 abstracts remained.
The text-mining process to get CHD related genes could be divided in to 5 following steps:

  • 1) Extracting all keywords from abstracts and ignoring those keywords start with numbers. 101402 keywords were extracted.

    •
  • 2) Input these keywords into Gene library in ArrayTrack and find possible related genes. 4674 genes were then found.

  • 3) Put these 4674 genes again into pubmed abstracts to find related aticles. Only genes which offical name or there keyword description (such as prolactin for gene PRL) could be found in the abstract would be remained. As a result, 1247 genes were remained.

    •
  • 4) Manually examined on the 1247 genes to validate it was acutally related to CHD. Some genes would be filtered if it represents other meanings (such as gene CAD, Entrez ID:790, carbamoyl-phosphate synthetase 2, is mostly meant coronary arterial disease in articles). 681 genes were then validated with at least one reference.

  • 5) All genes was compared with 1078 CHD genes in RGD database, and 370 genes were overlapped. These 370 genes were labels as "RGD_Supported" and the other 293 genes were labels as "REFERED". All 663 genes had supported references in CHD@ZJU which were examined by step 4.

    • How To contact Us

    Collaboration Information: Prof. Xiaohui Fan (fanxh@zju.edu.cn)

    Website using assistance : Leihong Wu (11019004@zju.edu.cn)




    Carotid atherosclerosis and vascular age in the assessment of coronary heart disease risk beyond the Framingham Risk Score.
  • Author:"Junyent, Mireia;Zambon, Daniel;Gilabert, Rosa;Nunez, Isabel;Cofan, Montserrat;Ros, Emilio"

  • Published Year:2008

  • Journal:Atherosclerosis

  • Abstract:"OBJECTIVES: To assess how ultrasound measurements of carotid intima-media thickness (CIMT) and plaque burden compare with the Framingham Risk Score (FRS) in a clinical setting. METHODS AND RESULTS: In a cross-sectional study, we determined CIMT and plaque in 409 asymptomatic, non-diabetic hyperlipidemic subjects (242 men, age 49+/-11 years) who were assessed for risk factors and classified into FRS categories: 10-year risk < or =5% (n=191), 6-20% (n=176), and >20% (n=42). Percentiles of CIMT and plaque height and regression equations of CIMT against age obtained in 250 controls subjects were used to define atherosclerosis and estimate vascular age, respectively. There was a wide dispersion of CIMT for each FRS category. CIMT values were discordant in 242 (59%) subjects, 80% of them showing more atherosclerosis than predicted. Smoking and the metabolic syndrome explained part of the discrepancies in the intermediate-risk group. Triglycerides, homocysteine, and lipoprotein(a) did not predict atherosclerotic burden. Mean vascular age was 14.5 years older than chronological age. CONCLUSIONS: Carotid atherosclerosis findings readjust FRS categories in many asymptomatic subjects. Both carotid atherosclerotic burden and vascular age may be used to refine CHD risk and tailor preventive treatment beyond the FRS."

  • 10.1016/j.atherosclerosis.2007.01.019

    • |Click to search this paper in PubMed|   | back to gene page|