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.

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  • 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.

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  • 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)




    "Association of genetic variants in SEMA3F, CLEC16A, LAMA3, and PCSK2 with myocardial infarction in Japanese individuals."
  • Author:"Fujimaki, Tetsuo;Kato, Kimihiko;Yokoi, Kiyoshi;Oguri, Mitsutoshi;Yoshida, Tetsuro;Watanabe, Sachiro;Metoki, Norifumi;Yoshida, Hidemi;Satoh, Kei;Aoyagi, Yukitoshi;Nozawa, Yoshinori;Kimura, Genjiro;Yamada, Yoshiji"

  • Published Year:2010

  • Journal:Atherosclerosis

  • Abstract:"OBJECTIVE: The purpose of the present study was to identify genetic variants that confer susceptibility to myocardial infarction (MI) in Japanese individuals. METHODS: The study population comprised 5014 Japanese individuals, including 1444 subjects with MI and 3570 controls. The 150 polymorphisms examined in the present study were selected by a genome-wide association study for ischemic stroke with the use of the GeneChip Human Mapping 500K Array Set (Affymetrix), and were determined by a method that combines the polymerase chain reaction and sequence-specific oligonucleotide probes with suspension array technology. RESULTS: An initial screen by the chi-square test revealed that the A-->G polymorphism of SEMA3F (rs12632110), the C-->T polymorphism of CLEC16A (rs9925481), the A-->G polymorphism of LAMA3 (rs12373237), and the C-->G polymorphism of PCSK2 (rs6080699) were significantly (false discovery rate for allele frequencies of <0.05) associated with MI. Subsequent multivariable logistic regression analysis with adjustment for covariates and a stepwise forward selection procedure revealed that the A-->G polymorphism of SEMA3F (dominant model; P=0.0014; odds ratio, 0.76), the C-->T polymorphism of CLEC16A (dominant model; P=0.0009; odds ratio, 0.75), the A-->G polymorphism of LAMA3 (recessive model; P=0.0099; odds ratio, 0.80), and the C-->G polymorphism of PCSK2 (recessive model; P=0.0155; odds ratio, 1.19) were significantly (P<0.05) associated with the prevalence of MI. CONCLUSION: Determination of these genotypes may prove informative for assessment of the genetic risk for MI in Japanese individuals."

  • 10.1016/j.atherosclerosis.2009.11.050

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