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Copyright of China Brewing is the property of China Brewing Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Chemical Engineering (China) / Huaxue Gongcheng is the property of Hualu Engineering Science & Technology Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To analyze the association between low-frequency variants of ARIDIA gene and primary liver cancer using latent category model. Methods The low-frequency variants of ARIDIA gene was combined according to different functional areas, and the combined variables were analyzed by using the latest class model to obtain the latent variables. Then the logistic regression was used to analyze the association between low-frequency variants of ARIDIA gene and primary liver cancer. Results The low frequency variants of AIDIA gene were divided into three categories by the latent class model. The class I mainly unmutated population, the proportion was 94.29 (2 454/2 603). The class 2 was mainly transcriptional regulatory domain mutation, take 4.8% (124/2 603). The class 3 was dominantly eson mutation, about 1.0% (27/2 603), Using class I as a reference, it was found that mutations in the transcriptional regulatory domain could reduce the risk of liver cancer (OR-0.601, 95% CI-0.364-0.992. P=0.046). Conclusion The latent class model can identify low-frequency variants of gene associated with liver cancer and can be extended to more genetic association studies of hoe repay variants related to complex diseases. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Clinical Hepatology / Linchuang Gandanbing Zazhi is the property of Journal of Clinical Hepatology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)