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脂质研究临床协作家庭研究中脂蛋白水平家族关联的多变量分析:I. 家族相关性和回归分析。

A multivariate analysis of familial associations of lipoprotein levels in the Lipid Research Clinics Collaborative Family Study: I. Familial correlation and regression analyses.

作者信息

Heuch I, Namboodiri K K, Green P P, Kaplan E B, Laskarzewski P, Glueck C J, Elston R C

出版信息

Genet Epidemiol. 1985;2(3):283-300. doi: 10.1002/gepi.1370020306.

Abstract

In view of the complex, intraindividual relationships among different lipoprotein levels (LDL-C, HDL-C, and VLDL-C), multivariate methods aimed at assessing joint familial associations and their possible determinants were performed in the white, random sample component of the Collaborative Lipid Research Clinics Family Study data (1,336 families with 5,097 subjects). After appropriate transformations and covariate adjustments of the data, several kinds of correlation and regression analyses were performed, taking into consideration variable family size and possible age and clinic differences. The association patterns across clinics and age strata were found to be homogeneous for the vast majority of comparisons. The results of multivariate analyses (especially the significant association of each lipoprotein among biological relatives), the persistence of parental levels as the best predictors for the same lipoprotein levels among the offspring, and the essentially unchanged partial correlation estimates as compared to ordinary correlations suggest strong influence of factors specific to each lipoprotein in the familial associations. But the highly significant intraindividual correlations and the nonnegligible cross-correlations among relatives also suggest the additional presence of common underlying factors for the familial associations, especially between HDL-C and VLDL-C and to a lesser extent between LDL-C and VLDL-C. The issues stemming from these analyses and the directions for further analyses are discussed.

摘要

鉴于不同脂蛋白水平(低密度脂蛋白胆固醇、高密度脂蛋白胆固醇和极低密度脂蛋白胆固醇)之间复杂的个体内关系,在脂质研究协作诊所家庭研究数据的白人随机样本部分(1336个家庭,共5097名受试者)中,采用了多变量方法来评估联合家族关联性及其可能的决定因素。在对数据进行适当的转换和协变量调整后,考虑到家庭规模的变化以及可能存在的年龄和诊所差异,进行了几种相关分析和回归分析。结果发现,在绝大多数比较中,各诊所和年龄层之间的关联模式是一致的。多变量分析的结果(尤其是生物学亲属中每种脂蛋白之间的显著关联)、父母的脂蛋白水平持续作为后代相同脂蛋白水平的最佳预测指标,以及与普通相关性相比基本不变的偏相关估计,表明在家族关联中每种脂蛋白特有的因素具有强大的影响力。但是,亲属之间高度显著的个体内相关性以及不可忽视的交叉相关性也表明,家族关联中还存在其他共同的潜在因素,尤其是在高密度脂蛋白胆固醇和极低密度脂蛋白胆固醇之间,低密度脂蛋白胆固醇和极低密度脂蛋白胆固醇之间的程度稍小。本文讨论了这些分析产生的问题以及进一步分析的方向。

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