Screening method of methylation sequencing fragment

By constructing a new rDNA reference genome and using a combinatorial strategy to mask the rDNA region, the problem of high background noise in liquid biopsy is solved, high-quality rDNA alignment and methylation signal screening is achieved, and the identification accuracy of disease-related signals is improved.

CN119649908APending Publication Date: 2025-03-18SHANGHAI WEIHE MEDICAL LAB CO LTD
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Patent Information

Application Number
CN202411695613.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-22
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

In liquid biopsy, there are technical difficulties in how to screen out disease-related methylation signals, especially rDNA methylation signals, under large background noise.

Method used

By constructing a new rDNA reference genome, combining the human genome and rDNAconsensus sequence, a combination strategy is used to mask the real rDNA region to achieve high-quality rDNA alignment.

Benefits of technology

It effectively avoids multiple alignment problems, improves the accuracy of rDNA sequence alignment, reduces false positive alignment, improves alignment efficiency, and helps to discover disease-related rDNA methylation markers.

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Abstract

The invention relates to the field of methylation sequencing, in particular to a screening method of methylation sequencing fragments. The method comprises: 1) using a healthy sample, establishing a signal baseline by constructing an n-order Markov chain model, the healthy sample containing a methylation sequencing result, and a sequencing fragment of the healthy sample originating from an rDNA region; and 2) filtering a to-be-detected sample by using the established signal baseline, the to-be-detected sample containing a methylation sequencing result, and a sequencing fragment of the to-be-detected sample being derived from an rDNA region. According to the method disclosed by the invention, background noise from normal tissues is effectively filtered, and methylation signals (especially rDNA methylation signals) related to diseases are effectively screened out.
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