Susceptibility gene of hyperthyroidism disease and application thereof
A kind of use, chromosome technology, applied in the fields of molecular biology and medicine, can solve the problems such as the difficulty of identifying susceptibility genes for hyperthyroidism
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Embodiment 1
[0127] Embodiment 1 sample acquisition and preparation
[0128] 1. In the SNP screening stage, the inventor selected 1536 hyperthyroid patients and 1516 normal controls.
[0129] 1,536 hyperthyroid patients were from Xuzhou, Jiangsu and Linyi, Shandong, and 1,516 normal controls were from the same region as the hyperthyroid patients, and they were gender-matched.
[0130] Of the 1536 patients whose disease course was more than one year, the level of autoantibodies to thyroid stimulating hormone receptor (TRab) was detected by ELISA. Samples with TRab levels ≥ 1.5 U / L are considered persistent TRab positive (pTRab+), samples with TRab levels < 1.5 U / L are considered persistent TRab negative (pTRab-),
[0131] The levels of thyroid stimulating hormone (TSH) and anti-thyroid microsomal antibody (TPOab) were tested in 1516 normal control samples, and any one of these indicators was within the normal reference range, in order to rule out autoimmune thyroid disease.
[0132] 2. In...
Embodiment 2
[0136] Example 2 Genotyping
[0137] 1. In the SNP screening stage, Illumina's human 660K chip was selected for genotyping in the genome-wide association study, and Illumina's BeadStudio 3.3 software was also used for data analysis.
[0138] 2. In the verification stage, among the 100 SNPs most relevant to hyperthyroidism screened out in the first stage, 96 SNPs were genotyped using the Fludigm EP1 platform, and 4 SNPs were genotyped using the Applied Biosystems Inc. (Applied Biosystems) 7900HT system for genotyping.
Embodiment 3
[0139] Embodiment 3 statistical analysis
[0140] 1. In the SNP screening stage, SmartPCA and PLINK software were first used to evaluate the population structure of the sample, and the analysis methods used were principal component analysis (PCA) and multi-dimensional scale analysis (MDS). And use PLINK software and R statistical package to analyze the distribution of the theoretical value and observed value of the P value of all SNPs points. After a series of quality control, finally 1468 patients, 1490 normal controls and 476121 SNPs were included in the statistical analysis, and the data were analyzed by case-control trend test using PLINK software.
[0141] 2. In the validation stage, the trend test method was applied to the validation data to analyze the relationship between 100 SNPs and diseases. Two-stage data meta-analysis was performed using the Cochran-Mantel-Hanezel analysis.
[0142]The logistic regression analysis method was used to determine the independence of...
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