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伯克利数据中高密度脂蛋白的分离分析。

Segregation analysis for high density lipoprotein in the Berkeley data.

作者信息

Cupples L A, Myers R H

机构信息

Boston University School of Public Health, Department of Epidemiology and Biostatistics, MA 02118.

出版信息

Genet Epidemiol. 1993;10(6):629-34. doi: 10.1002/gepi.1370100650.

Abstract

Transmission models for high density lipoprotein (HDL) were evaluated in the Berkeley data set through segregation analyses using S.A.G.E. These preliminary analyses indicate that among the models fitted, an additive model with non-Mendelian transmission probabilities provides a good fit for HDL, suggesting the possibility of a significant environmental component in the transmission of HDL. After adjustment for triglyceride, however, Mendelian models for a major gene seem to provide as good a fit as non-Mendelian models but the results do not permit distinction between a dominant model and an additive model.

摘要

利用S.A.G.E.软件,通过分离分析在伯克利数据集中评估了高密度脂蛋白(HDL)的传递模型。这些初步分析表明,在所拟合的模型中,具有非孟德尔传递概率的加性模型对HDL拟合良好,这表明HDL传递中存在显著环境因素的可能性。然而,在对甘油三酯进行调整后,主要基因的孟德尔模型似乎与非孟德尔模型拟合效果一样好,但结果无法区分显性模型和加性模型。

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