Deoxyribonucleic acid (DNA) library for detecting disease causing genes of aoreic dissection diseases and application thereof
A technology of DNA library and aortic dissection, applied in the field of DNA library, can solve the problems of late diagnosis, poor specificity of aortic dissection, difficulty in judging prognosis, etc., achieve wide coverage, reduce cost and labor intensity, and improve timeliness Effect
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Embodiment 1
[0057] 1. Reagents used in the method:
[0058] Ion AmpliSeq TM LibraryKit2.0, IonPGM TM TemplateOT2200Kitv3, Ion Sequencing200Kitv2, IonXpressBarcodeAdaptors1-16Kit, Ion318 TM ChipKitv2
[0059] 2. Specimen collection and storage
[0060] (1) Specimen collection: The specimen is the peripheral blood of the patient. Blood is 5ml of venous blood taken routinely, treated with EDTA anticoagulant.
[0061] (2) Storage: It can be detected immediately, stored at 4°C for one week, and stored at -80°C for more than one week.
[0062] 3. Detection steps and result analysis:
[0063] (1) Extraction of genomic DNA of specimens: DNA extraction of specimens was carried out according to the operation instructions of the blood DNA extraction kit of Tiangen Biochemical Technology (Beijing) Co., Ltd.
[0064] (2) Super multiplex PCR amplification and library building of the target detection area: the whole exons of the 33 genes involved in the present invention are used as the detecti...
Embodiment 2
[0100] In the present invention, the primer pool contains 17 aortic dissection pathogenic genes newly discovered by the inventor, as shown in the following table:
[0101]
[0102]
[0103] The newly discovered 17 aortic dissection-causing genes come from the research accumulation and family investigation of the inventors over the years. The inventors first searched through the KEGG signaling pathway and the homologous gene library among the known pathogenic genes of aortic dissection, and searched for homologous genes of known pathogenic genes and key genes on the same pathogenic pathway. Then, targeted high-throughput sequencing of candidate disease-causing genes was carried out in the large-scale case sample bank of Chinese Han patients accumulated over the years, and bioinformatics analysis was performed to screen and find disease-causing mutations. Cases with pathogenic mutations were screened for follow-up and further family analysis, and the entire family of the p...
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