Marker composition for premature ovarian failure gene detection and detection kit
A technology for premature ovarian failure and gene detection, which is applied in recombinant DNA technology, microbial determination/inspection, biochemical equipment and methods, etc. Problems such as less research on correlation
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Embodiment 1
[0024] 1 Materials and methods
[0025] 1.1 Materials
[0026] 1.1.1 Research object
[0027] (1) Premature ovarian failure case group: samples were collected from 192 premature ovarian failure outpatients of Xinhua Hospital from 2007 to 2008.
[0028] (2) Normal control group: 192 healthy volunteers from Shanghai Normal University and East China University of Science and Technology during the same period. Inclusion criteria: There is no history of premature ovarian failure, no ovarian cancer and other ovarian-related diseases among myself and my immediate family members within three generations.
[0029] These two groups are not related to each other.
[0030] 1.1.2 Main reagents
[0031] 1.1.2.1 DNA extraction reagents
[0032] Genomic DNA was extracted using a blood genomic DNA extraction kit purchased from QIAGEN.
[0033] 1.1.2.2 PCR reagents
[0034] (1) TaKaRa Ex Taq Hot Start Version: purchased from Treasure Bioengineering (Dalian) Co., Ltd., containing TaKaRa E...
Embodiment 2
[0127] This example illustrates the clinical application of the female premature ovarian failure gene detection marker combination model constructed in Example 1. Specifically, 192 Chinese female cases and 192 controls collected by Xinhua Hospital were used as research objects, and 47 mutation sites in 17 genes were genotyped, and the mainstream statistical method for studying the correlation of multiple mutation sites was used. , that is, multifactor dimensionality reduction (MDR) for statistical analysis, and initially established the BMP15, EIF2B2, ERCC6, ESR1, FIGLA, FOXL2, FSHR, HFM1, MCM8, MCM9, MSH5, NOBOX, NR5A1, POF1B, The female premature ovarian failure gene detection marker combination model composed of seventeen mutation sites of SGO2, STAG3 and SYCE1 has good detection efficiency of premature ovarian failure, OR=346.1179, P value<0.0001, accuracy 96.97%, sensitivity 98.92 %, specificity 100%. The establishment of a combination model of female premature ovarian f...
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