Genetic analysis of the Stanford LRC family study data. I. Structured exploratory data analysis of height and weight measurements.
Genetic analysis of the Stanford LRC family study data. I. Structured exploratory data analysis of height and weight measurements.
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斯坦福 LRC 家族研究数据的遗传分析。
DOI：
10.1093/oxfordjournals.aje.a113100
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发表时间：
1981
影响因子：
5
通讯作者：
Farquhar,JW
中科院分区：
文献类型：
--
作者：
Karlin,S;Williams,PT;Jensen,S;Farquhar,JW
Karlin，S.（斯坦福大学数学系，斯坦福大学，CA 94305），P. T.威廉姆斯，S.詹森和J. W.法夸尔斯坦福大学LRC家族研究数据的遗传分析。I.结构化探索性数据分析身高和体重测量。美国流行病学杂志1981; 113：307 - 24。描述了一种用于确定核心家庭中连续分布性状的遗传模式的新方法，结构化探索性数据分析（SEDA），并将其应用于身高和体重测量。这些家庭数据是作为脂质研究诊所的合作研究（LRC）的一部分收集的，由斯坦福大学员工的一级亲属组成，他们被选为2%的随机样本或通过高血脂值确定。所有的变量标准化使用三种方法的年龄和性别调整的基础上两个参考人群。分析和解释基于以下统计量和指标：1）主基因指数（MGI（α））; 2）中亲值与后代之间的两个相关性（MPCC）; 3）后代与亲本功能之间的相关性（OBP（β））。与其他一些研究一致，结果支持身高显示多因素遗传，而体重主要受非遗传环境因素的影响。与随机家系相比，先证者的男性子女因其高血脂值而被选择，其身高测量结果似乎涉及环境成分或一些主要基因伴随物。随机和高脂家族之间的差异得到所有三种统计方法的支持。
Karlin, S. (Department of Mathematics, Stanford U., Stanford, CA 94305), P. T. Williams, S. Jensen and J. W. Farquhar. Genetic analysis of the Stanford LRC family study data. I. Structured exploratory data analysis of height and weight measurements.Am J Epidemiol1981; 113: 307–24.A new methodology for determining mode of inheritance of continuously distributed traits in nuclear families, structured exploratory data analysis (SEDA), is described and applied to height and weight measurements. The family data were collected as part of the Lipid Research Clinic's collaborative study (LRC) and consists of first degree relatives of Stanford University employees who were selected either as a 2% random sample or were identified through a high lipid value. The variables are all standardized using three methods of age and sex adjustment based on two reference populations. The analysis and interpretations are based on the following statistics and indices: 1) the major gene Index (MGI (α)); 2) two measures of correlations between the midparental value and offspring (MPCC); and 3) the offspring between parent functions (OBP (β)). Consistent with a number of other studies, the results support that height shows multifactorlal inheritance while weight is principally under the influence of non-genetic environmental factors. In contrast to the random families, the male children of the probands who were selected due to their high lipid values exhibit height measurements which appear to involve environmental components or some major gene concomitants. The difference between the random and high lipid families is supported by all three statistical methods.