Method for detecting integration site of HPV in host genome

Abstract

The invention discloses a method for detecting an integration site of HPV (human papillomavirus) in a host genome. The method comprises the following steps: extracting host genome DNA from a biological sample from a subject, and breaking the host genome DNA to fragments with a main peak of 800bp-4kb; performing a first detection on the obtained fragments by using a probe set to obtain a target sequence; preprocessing the target sequence to improve detection sensitivity; and performing a second detection on the target sequence without PCR amplification based on an electric signal sequencing technology so as to confirm the integration site of the HPV in the host genome. The method can quickly and timely analyze the state of the HPV virus existing in host cells, has obvious clinical application advantages, and can more effectively judge the integration information of the HPV without error correction analysis.

Description

technical field [0001] The invention relates to the detection of virus integration sites, in particular to a method for detecting HPV integration sites in host genomes. Background technique [0002] The integration of HPV virus into the human genome is an important process event that causes cancer. At present, the understanding of this process is still relatively limited. More and more studies have shown that HPV integration is a potential molecular marker for molecular diagnosis and individualized treatment, and it is also very important. valuable prognostic indicator. The research methods for HPV integration are currently obtained by using the probe capture method based on next-generation sequencing technology. For example, CN107739761A discloses a high-throughput sequencing detection method for HPV typing and integration. This method selects the genes of the current HPV subtypes, combined with the second-generation high-throughput sequencing technology, to detect the ty...

AI Technical Summary

Problems solved by technology

Although there are many error correction methods, such as correcting the third generation according to the sequencing results of the second generation and the third generation, or performing multiple self-corrections on the third generation results to reduce the error rate, due to the difference in the results of the correction software and the limitations of user selection capabilities , which greatly restricts its application

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