作者: Lucy Mathot
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摘要: The genomic revolution in oncology will entail mutational analyses of vast numbers patient-matched tumor and normal tissue samples. This has meant an increased risk patient sample mix up due to manual handling. Therefore, scalable genotyping identification procedures are essential pathology biobanks. We have developed efficient alternative traditional methods suited for automated analysis. By targeting 53 prevalent deletions insertions found human populations with fluorescent multiplex ligation dependent genome amplification, followed by separation a capillary sequencer, peak spectrum is obtained that can be automatically analyzed. 24 tumor-normal samples were successfully matched using this method. potential use the assay forensic applications discussed.