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Systems, methods and genetic signatures for predicting an individual's biological status
Systems, methods and genetic signatures for predicting an individual's biological status
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机译:预测个人生物学状况的系统,方法和遗传特征
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摘要
Systems and methods for evaluating a sample of a subject to predict the biological status of the subject, such as a smoker status. The computer-implemented method includes receiving a data set associated with the sample by a computer system that includes at least one hardware processor. The data set includes quantitative expression data for a set of genes less than the entire genome, and the gene sets include AHHR, CDKN1C, LRRN3, PID1, GPR15, SASH1, CLEC10A, LINC00599, P2RY6, DSC2, F2R, SEMA6B and TLR5. including. At least one hardware processor generates a score based on quantitative expression data for a set of genes in the received data set, where the score is based on less than 40 genes and the subject's predicted smoking status Indicates.
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