Microsatellite instability detection method and device based on next-generation sequencing blood samples
A microsatellite instability and blood sample technology, applied in the field of microsatellite instability detection based on next-generation sequencing blood samples, can solve problems such as instability, difficulty in detecting microsatellites, microsatellite instability detection methods and devices, and achieve Effect of Avoiding False Positive Situations, Avoiding False Negative/False Positive Results
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Embodiment 1
[0072] In this embodiment, the samples used are microsatellite instability tissue sample Q2 verified by PCR method, corresponding unverified blood sample Q1, and their control sample Q0. The specific steps of paired sample detection in this embodiment are as follows:
[0073] (1) Scan the genome microsatellite sites to obtain the microsatellite unstable sites to be detected.
[0074] (2) Filter the low-quality loci with an average alignment quality value lower than 50 and the low-coverage loci with a coverage lower than 150 in the two groups of data Q2, Q0 and Q1, Q0, respectively.
[0075] (3) Calculate the microsatellite instability of Q2 relative to Q0 and Q1 relative to Q0.
[0076] (4) Calculate the tumor purity and tumor mutation burden through the somatic mutations of Q2 to Q0 and Q1 to Q0, and output them to the results together with the microsatellite instability in step (3), as shown in Table 1, where it is judged as MSI-h (tissue sample) and bMSI-h (blood sample),...
Embodiment 2
[0080] In this embodiment, the samples used are Microsatellite Stable (MSS) tissue sample K2 verified by PCR method, the corresponding unverified blood sample K1, and their control sample K0. The specific steps of paired sample detection in this embodiment are as follows:
[0081] (1) Scan the genome microsatellite sites to obtain the microsatellite unstable sites to be detected.
[0082] (2) Filter K2, K0 and K1, K0 groups of data with low-quality loci with an average alignment quality value lower than 50 and low-coverage loci with coverage lower than 150, respectively.
[0083] (3) Calculate the microsatellite instability of K2 relative to K0 and K1 relative to K0.
[0084] (4) Calculate the tumor purity and tumor mutation load through the somatic mutations of K2 to K0 and K1 to K0, and output them to the results together with the microsatellite instability in step (3), as shown in Table 2, where it is judged as MSS (tissue sample) and bMSS (blood sample), that is, by the ...
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