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2型糖尿病病因的多因素分析 被引量:3

Multiple factor analysis of type 2 diabetes etiology
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摘要 运用多因素非条件 L ogistic回归分析的方法 ,对山东地区汉族 2型糖尿病患者 10 7例和正常对照者 10 5例的多个糖尿病候选基因及部分环境因素进行分析 ,结果发现 2型糖尿病的发生与 D2 S140等位基因 2 (OR=13.0 0 94,P=0 .0 0 36 )、GCK等位基因 5 (OR=10 .16 99,P=0 .0 345 )及环境因素中的年龄 (OR=1.5 0 5 8,P=0 .0 2 93)、TG(OR=2 .910 5 ,P=0 .0 0 75 )、apo B(OR=2 .7481,P=0 .0 2 5 2 )、L P(a) (OR=1.0 0 31,P=0 .0 0 2 1)呈正相关。与 FABP2 基因无相关性。疾病的发生与 D2 S140等位基因 6 (OR=0 .0 717,P=0 .0 0 0 1)、GCK等位基因 2 (OR=0 .2 2 37,P=0 .0 0 0 6 )及 HDL - c(OR=0 .5 2 49,P=0 .0 0 87)呈负相关。结论为 D2 S140等位基因 2、GCK等位基因 5、年龄、TG、apo B、L P(a) 是2型糖尿病发病的独立危险因素 ,基因变异在 WT5”BZ]Polymorphism of GCK gene,D2S140 gene and FABP 2 gene was determined by polymerase chain reaction(PCR)and short tandem repeat(STR)in 107 type 2 diabetic patients and 105 normal controls Three genes polymorphism,age,blood pressure,BMI,WHR,serum lipid profile,serum insulin and serum C peptide were analyzed by multivariate stepwise logistic regression to determine the risk factor for type 2 diabetes Results showed that D2S140 6allele(153bp)(OR=13 0094,P=0 0036),GCK 5 allele(195bp)(OR=10 1699,P=0 0345),age(OR=1 5058,P=0 0293),TG(OR=2 9105,P=0 0075),apoB(OR=2 7481,P=0 0252)and LP (a) (OR=1 0031,P=0 0021)were shown to be independent and significant risk factors for type 2 diabetes However,D2S140 6 allele(OR=0 0717,P=0 0001),GCK 2 allele(OR=0 2237,P=0 0006)and HDL c(OR=0 5249,P=0 0087)were shown to be protective factors for 2 diabetes [WT5”HZ]
出处 《山东医药》 CAS 北大核心 2000年第24期5-7,共3页 Shandong Medical Journal
基金 国家自然科学基金资助! (批准号 395 0 0 72 )
关键词 Ⅱ型糖尿病 多因素 LOGISTIC回归分析 WT5”BZ]Type 2 diabetes Gene Multiple factor Logistic regression analysis
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