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)




    APOA4 polymorphism as a risk factor for unfavorable lipid serum profile and depression: a cross-sectional study.
  • Author:"Ota, Vanessa Kiyomi;Chen, Elizabeth Suchi;Ejchel, Tatiana Flank;Furuya, Tatiane Katsue;Mazzotti, Diego Robles;Cendoroglo, Maysa Seabra;Ramos, Luiz Roberto;Araujo, Lara Quirino;Burbano, Rommel Rodriguez;Smith, Marilia de Arruda Cardoso"

  • Published Year:2011

  • Journal:Journal of investigative medicine : the official publication of the American

  • Abstract:"INTRODUCTION: APOA1/C3/A4/A5 gene cluster is closely involved in lipid metabolism, and its polymorphisms have been associated with coronary heart disease and lipid plasma levels. Here, we aimed to investigate associations of APOC3 (3238C>G, -482C>T, 1100C>T) and APOA4 (Gln360His, Thr347Ser) polymorphisms in 382 individuals from a cohort of a Longitudinal Brazilian Elderly Study with major age-related morbidities and with lipid and protein serum levels. MATERIALS AND METHODS: The whole sample was genotyped by polymerase chain reaction-restriction fragment length polymorphism. Descriptive statistics, logistic regression analysis, Student t test, deviation from Hardy-Weinberg, Bonferroni correction for multiple testing, and haplotype analyses were performed. RESULTS: Although APOC3 1100T allele carriers presented lower triglyceride and very low density lipoprotein levels than non-T carriers, these associations disappeared after Bonferroni correction (P > 0.05). Moreover, APOA4 360His allele was associated with depression (P = 0.03), increased triglyceride (P = 0.035) and very low density lipoprotein (P = 0.035) levels, and reduced HDL levels (P = 0.0005). Haplotype analyses found an association between His/C/C haplotype (Gln360His/-482C>T/1100C>T) with depression, but this result was due to Gln360His polymorphism. CONCLUSIONS: Our data suggest that 360His allele might be a risk factor for depression and unfavorable lipid profile and depression for elderly people in the Brazilian population."

  • 10.231/JIM.0b013e31822467cd

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