EXTENSIONS TO PEDIGREE ANALYSIS .3. VARIANCE COMPONENTS BY SCORING METHOD
EXTENSIONS TO PEDIGREE ANALYSIS .3. VARIANCE COMPONENTS BY SCORING METHOD
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DOI：
10.1111/j.1469-1809.1976.tb00156.x
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发表时间：
1976-01-01
影响因子：
1.9
通讯作者：
SPENCE, MA
中科院分区：
文献类型：
--
作者：
LANGE, K;WESTLAKE, J;SPENCE, MA
简单多基因性状、加性、显性和环境方差的经典方差分量传统上是由一级亲属间的样本协方差估计的。如果数据是按系谱收集的，那么这种统计过程会浪费信息。一种替代的可能性程序，使用所有的信息，在一组谱系的开发。这种方法的基础上的评分技术的改进给出了快速收敛的方差分量和男性和女性的平均值的最大似然估计。然后，可以通过似然比方法对关于各种参数的统计假设进行检验。使用经典回归分析，估计的参数值允许从系谱内的已知性状值预测未知性状值。这些方法应适用于性状，如总指嵴计数和定量测量与疾病性状。由于该模型假设独立的环境效应和非排斥性交配，其在人类行为遗传学中的效用似乎有限。
The classic variance components for simple polygenic traits, additive, dominance and environmental variance are traditionally estimated from sample covariances between 1st-degree relatives. If data is gathered on pedigrees, this statistical procedure wastes information. An alternative likelihood procedure that uses all the information in a set of pedigrees was developed. A refinement of this method based on the scoring technique gives rapidly converging maximum likelihood estimates of the variance components and of the male and female means. Tests of statistical hypotheses about the various parameters can then be made by the likelihood ratio method. Using classical regression analysis, the estimated parameter values allow prediction of unknown trait values from known trait values within a pedigree. These methods should apply to traits like total finger ridge count and quantitative measurements associated with disease traits. Since the model postulates independent environmental effects and no assortative mating, its utility in human behavior genetics seems limited.