Method and system for completing karyotype analysis of sample to be detected based on whole genome sequencing and computer readable medium

A genome and sequencing technology, applied in the field of biological information, can solve the problems of low sensitivity, long time, and inaccurate detection

Pending Publication Date: 2022-03-22
深圳思勤医疗科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Existing detection and prognosis methods for diseases related to chromosomal copy number variation (such as AML and MDS) have the problems of ina

Method used

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  • Method and system for completing karyotype analysis of sample to be detected based on whole genome sequencing and computer readable medium
  • Method and system for completing karyotype analysis of sample to be detected based on whole genome sequencing and computer readable medium
  • Method and system for completing karyotype analysis of sample to be detected based on whole genome sequencing and computer readable medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0093] Example 1: library construction and sequencing

[0094] Blood is drawn from the bone marrow of AML or MDS patients, and the bone marrow sample (fresh cells or tissues) is subjected to cell disruption and genomic DNA extraction. After extraction, follow the following method to interrupt and build a library. This embodiment is applicable to all human fresh tissue and cell samples.

[0095] 1. Genomic DNA interruption

[0096] 1) Use the Covaris interrupter to fragment the genomic DNA to the required main band range: PE50 recommends a main band of about 180bp, PE100 recommends a main band of about 280bp, and PE150 recommends a main band of about 420bp.

[0097] Check that the liquid level of the deionized water injected into the Covaris tank reaches or exceeds the running mark, and ensure that the water level is not above the glass part of the broken tube; refer to the Covaris instrument instruction manual for experimental operation;

[0098] Table 1

[0099] ...

Embodiment 2

[0180] Example 2 CNV Detection

[0181] (1) According to the method of Example 1, complete the library sequencing of the samples, obtain off-machine data, filter out low-quality reads, and use the comparison software (bwa) to compare these sequencing reads to the human reference genome .

[0182] (2) Filter the comparison results, require the comparison quality value to be >30, remove duplicate reads, abnormally paired reads, etc. Use the tools in bedtools to get the alignment start position of reads1.

[0183] (3) According to the starting position of the comparison, the inventor calculated the Akaike's information criterion (Akaike's information criterion) and cross-validation logarithmic likelihood estimation corresponding to different intervals through the published method (Gusnanto et al. (2014)) Value (Cross validation Log-likelihood). like figure 2 As shown in , select the interval size corresponding to the minimum AIC value (or the maximum log-likelihood value), a...

Embodiment 3

[0199] Example 3 CNV Large Fragment Variation Type Detection

[0200] (1) Obtain the fragment size of CNV (the number of bins contained in the fragment) and the log R ratio corresponding to the fragment based on the analysis method in Example 2. The sample comes from a normal person. According to the above results, it can be seen that the smaller the length, the larger the value of logR (the smaller the negative number becomes). Therefore, a dynamic cutoff method was constructed based on the genome fragments of different sizes and the corresponding logR detected from about 500 normal people (without CNV mutation).

[0201] (2) According to the sequencing analysis results of the normal population, analyze the size of the fragment and the corresponding log R ratio. It is found that as the number of biomarkers contained in the fragment increases (that is, the length of the fragment becomes larger), the fluctuation range of log R ratio is significantly reduced. Therefore, it can b...

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Abstract

The invention relates to the field of biological information, in particular to a method and system for completing karyotype analysis of a to-be-detected sample based on whole genome sequencing and a computer readable medium. The method for determining the predetermined chromosome variation of the to-be-detected sample replaces traditional karyotype analysis, second-generation sequencing and dynamic cutoff are combined, CNV large fragments can be rapidly and accurately detected, and meanwhile, according to the result, based on chromosome karyotype analysis, the detection accuracy of the CNV large fragments is greatly improved. Diseases (such as acute myelogenous leukemia and myelodysplastic syndrome) related to chromosome copy number variation can be detected, and treatment and prognosis can be guided. The detection method provided by the invention is high in sensitivity, lower in detection limit and more accurate in detection result, and can be used for prognosis of diseases related to chromosome copy number variation by annotating the position of the gene related to prognosis and the position of variation on the chromosome.

Description

technical field [0001] The present invention relates to the field of biological information, in particular, the present invention relates to a method, a system and a computer-readable medium for determining the variation of a predetermined large fragment copy number (CNA) of a sample to be tested. Background technique [0002] Acute myeloid leukemia (AML), also known as acute non-lymphocytic leukemia (AML), is a hematological malignancy caused by the uncontrolled proliferation of bone marrow progenitor cells. Its clinical incidence is high, the recurrence rate is high, and the cure rate is low. . AML is caused by the acquired mutation of myeloid-committed progenitor cells, and is characterized by blocked differentiation of hematopoietic stem cells, abnormal cell clonal proliferation, and resistance to apoptosis. In recent years, its incidence rate has been increasing year by year, seriously threatening human health. my country has listed it as one of the top ten malignant t...

Claims

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Application Information

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IPC IPC(8): G16B20/20G16B30/10G16B20/50G16B40/00
CPCG16B20/20G16B30/10G16B20/50G16B40/00
Inventor 李世勇贺翔翔朱丹丹耿帅鹏茅矛李京帅
Owner 深圳思勤医疗科技有限公司
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