POAG gene detection kit suitable for prenatal noninvasive diagnosis and detection method thereof
A gene detection and kit technology, applied in the field of biomedicine, can solve problems such as detection danger, and achieve the effect of high accuracy, high sensitivity and accurate prediction
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Embodiment 1
[0052] Example 1: Screening of susceptibility genes
[0053] 1. Samples: At the pedigree level, 2 large young POAG pedigrees were collected (see figure 1 M and figure 2 L's) and more than 10 small POAG families, successfully established 10 immortal cell lines of 28 elderly patients and genomic DNA libraries of 328 samples. Using the strategy based on candidate site cloning combined with linkage analysis, the candidate genes of two young POAG families were locked at 2p15-p16.3 by fine mapping method, and the LODs can be as high as 6.238 11–13 , this region is superior to the linkage region of seven European POAG family pathogenic genes reported by Suriyapperuma SP et al. Because of the smaller range (7.4Mb vs 8.3Mb), it has laid a good foundation for cloning and identification of new POAG pathogenic genes . All selected samples were signed informed and voluntary agreements by myself, and were approved by the Ethics Committee of the Third Affiliated Hospital of Third Militar...
Embodiment 2
[0083] Example 2: Predicting the risk of POAG based on machine learning
[0084] Model construction: We select four machine learning algorithms for risk prediction model construction: Elastic Network Algorithm, Random Forest Algorithm, Support Vector Machine Algorithm and Neural Network Algorithm. The R package caret of machine learning in R language is used to determine the optimal parameters of each algorithm model. Using 10×10 cross-validation, we selected the optimal parameters of each model as follows: Elnet (alpha=.1, gamma=0.027), RF (mtry=2), SVM (cost=2, gamma=0.8), ANN (size=3, decay=0.1).
[0085] Model comparison: Using the constructed machine learning model, we applied it to the verification sample in Example 1, and calculated the receiver characteristic curve (ROC) and AUC value to judge the pros and cons of each model.
[0086] Optimal model: Calculate the optimal threshold based on the ROC curve based on the prediction accuracy of each machine learning model....
Embodiment 3
[0088] Example 3: A kit for non-invasive prenatal risk assessment of POAG.
[0089] (1) Sample preparation:
[0090] The blood of pregnant women is collected, and the fetal cell-free DNA in the blood is extracted.
[0091] 1) Prepare washing solution (purchase manufacturer: Changzhou EMI Biotechnology Co., Ltd.), prepare washing solution A and washing solution B;
[0092] Washing solution A: Add 9ml of absolute ethanol to take 21ml of washing solution; add 18ml of absolute ethanol to take 42ml of washing solution.
[0093] Washing solution B: Add 21ml of absolute ethanol to take 9ml of washing solution; add 42ml of absolute ethanol to take 18ml of washing solution.
[0094] 2) Take a 1.5ml centrifuge tube, add 200ul of blood samples collected from pregnant women, 4ul DNA Carrier (DNA carrier, purchaser: Changzhou EMI Biotechnology Co., Ltd.), mix well, add 300ul lysate (purchaser: Changzhou EMI Biotechnology Co., Ltd. company), and 20ul of digestive solution (purchased from...
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