Method for predicting organ transplant rejection using next-generation sequencing
AssigneeEone Diagnomics Genome Center Co., Ltd
InventorsMin Seob LEE, Sun Jae KWON
Life of this patent
Estimating the term…
Loading patent…
AssigneeEone Diagnomics Genome Center Co., Ltd
InventorsMin Seob LEE, Sun Jae KWON
Estimating the term…
The present invention demonstrates a non-invasive method for organ transplant rejection prediction by measuring the ratio between donor-specific nucleic acid sequences and recipient-specific nucleic acid sequences in a biological sample obtained from an organ transplant recipient. More precisely, it relates to a method that comprises of analyzing a biological sample (e.g., blood) obtained from an organ transplant recipient to measure the ratio between donor-derived marker sequences and recipient-derived marker sequences, having three or more markers selected from the markers listed in Tables 1 to 10, and thereby predicting organ transplant rejection based on the ratio. The method of predicting organ transplant rejection using next-generation sequencing (NGS) or digital base amplification based on the present invention can be applied even to a minute amount of a sample. This method is rapid, inexpensive, enables rapid data analysis, is applicable irrespective of the organ type and races in the world, and also it can detect the probability of sequencing error. Thus, the method of the present invention is useful for non-invasive prediction of organ transplant rejection.
A method of predicting organ transplant rejection in a biological sample, obtained from a recipient who received an organ from a donor, by next-generation sequencing (NGS) or digital base amplification, the method comprising the steps of:
A method of predicting organ transplant rejection in a biological sample, obtained from a recipient who received an organ from a donor, by next-generation sequencing (NGS) or digital base amplification, the method comprising the steps of:
A computer system comprising a computer readable medium encoded with a plurality of instructions for controlling a computing system to perform an operation of predicting organ transplant rejection in a biological sample, obtained from a recipient who received an organ from a donor, by use of next-generation sequencing (NGS) or digital base amplification,
Dependencies are inferred from the claim text.