Genetic analysis of the Stanford LRC family study data. II. Structured exploratory data analysis of lipids and lipoproteins.
Genetic analysis of the Stanford LRC family study data. II. Structured exploratory data analysis of lipids and lipoproteins.
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斯坦福 LRC 家族研究数据的遗传分析。
DOI：
10.1093/oxfordjournals.aje.a113101
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发表时间：
1981
影响因子：
5
通讯作者：
Wood,PD
中科院分区：
文献类型：
--
作者：
Karlin,S;Williams,PT;Haskell,WL;Wood,PD
Kartin，S.（斯坦福大学数学系，斯坦福大学，CA 94305），P. T.威廉姆斯，W。L哈斯克尔和P. D。木材.斯坦福大学LRC家族研究数据的遗传分析。二.脂质和脂蛋白的结构化探索性数据分析.美国流行病学杂志1981;113：325- 37.一种新开发的用于评价核心家系中连续分布性状的遗传模式的方法，结构化探索性数据分析（SEDA），应用于脂质和脂蛋白测量。具体来说，有三项措施：主基因指数（MGI）、成对中亲相关系数（MPCC）和亲本间后代（OBP）曲线用于确定这些性状表达相对于彼此是更主基因的、偶发的还是多因子的。甘油三酯和密切相关的极低密度脂蛋白胆固醇测量似乎是通过一些主要的基因组件传输。HDL-胆固醇测量结果与一定程度的多因素传递或具有加性等位基因效应和相似等位基因频率的主基因模型更一致。低密度脂蛋白胆固醇的结果表明了少量的主要基因影响。复合总胆固醇测量值似乎处于多因素传递下，但其顺序低于身高。通过高血脂水平的父母选择的年轻家庭表现出一些主要的基因影响，这些基因在老年家庭中没有出现。对这种差异提出了几种可能的解释。
Kartin, S. (Department of Mathematics, Stanford U., Stanford, CA 94305), P. T. Williams, W. L Haskell and P. D. Wood. Genetic analysis of the Stanford LRC family study data. II. Structured exploratory data analysis of liplds and lipoprotelns.Am J Epidemiol1981;113:325–37.A newly developed methodology for the assessment of mode of inheritance of continuously distributed traits In nuclear families, structured exploratory data analysis (SEDA), is applied to lipid and lipoprotein measurements. Specifically, three measures: the major gene index (MGI), the pairwise mid-parental correlation coefficient (MPCC), and the offspring between parents (OBP) curves are used to determine whether these trait expressions are more major gene, sporadic, or murtifactoriai relative to one another. Triglycerides and the closely-related VLDL-cholesterol measurement appears to be transmitted through some major gene components. HDL-cholesterol measurements are more consistent with some degree of multifactorial transmission or a major gene model with additive allelic effects and similar allele frequencies. The results for LDL-cholesterol suggest a modicum of major gene influences. The composite total cholesterol measurement appears to be under multi-factorial transmission but of lower order than height. Younger families who were selected through a parent with high lipid levels exhibit some major gene influences which do not appear in the older families. Several possible explanations are proposed for this difference.