Modeling Extended Twin Family Data II: Power Associated With Different Family Structures
Modeling Extended Twin Family Data II: Power Associated With Different Family Structures
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DOI：
10.1375/twin.12.1.19
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发表时间：
2009-02-01
影响因子：
0.9
通讯作者：
Keller, Matthew C.
中科院分区：
文献类型：
--
作者：
Medland, Sarah E.;Keller, Matthew C.
从扩展的双胞胎家系的数据建模允许增加复杂的协方差关系，其中文化传播，非随机交配和基因型x环境协变的影响，可以纳入估计。然而，在现有数据集中检测这些影响的能力尚未得到研究。本研究考察了不同家庭结构（即，MZ与DZ家族的比率以及堂兄弟姐妹与叔伯亲属的重要性）对统计功效有影响。此外，我们还研究了在两个大型数据集（VA 30 K和OZVA 60 K）的背景下检测遗传和环境影响的能力。我们发现，功率检测添加剂的遗传和文化传播的影响，最大限度地抽样MZ家庭。在确定性方面，专注于招募第三代（双胞胎的孩子）的样本与专注于招募双胞胎兄弟姐妹的样本之间的功效几乎没有差异。此外，我们研究的权力，以检测加性和显性遗传效应，文化传播和在现有的VA 30 K和OZVA 60 K样本的交配，根据两种不同的模式：表型分配和社会同配。有近100%的权力，以检测间接交配和文化传播，对小的加性和显性遗传和家庭环境的影响的背景。此外，检测加性或显性遗传效应的能力迅速渐近线，因此几乎有100%的能力检测解释20%或更多总方差的效应。这些结果表明，级联模型具有足够的能力来检测现有数据集中的感兴趣参数。Mx脚本可以从www.vipbg.vcu.edu/similar到sarahme/cascade获得。
Modeling the data from extended twin pedigrees allows the estimation of increasing complex covariance relationships in which the effects of cultural transmission, nonrandom mating and genotype x environment covariation can be incorporated. However, the power to detect these effects in existing data sets has not yet been examined. The present study examined the effects that different family structures (i.e., the ratio of MZ to DZ families and the importance of cousins vs. avuncular relatives) have on statistical power. In addition, we examined the power to detect genetic and environmental effects within the context of two large data sets (VA30K and the OZVA60K). We found that power to detect additive genetic and cultural transmission effects were maximized by over sampling MZ families. In terms of ascertainment, there was little difference in power between samples that had focused on recruiting a third generation (the children of twins) versus those that had focused on recruiting the siblings of the twins. In addition, we examined the power to detect additive and dominant genetic effects, cultural transmission and assortative mating in the existing VA30K and OZVA60K samples, under two different models of mating: phenotypic assortment and social homogamy. There was nearly 100% power to detect assortative mating and cultural transmission, against a background of small additive and dominant genetic and familial environmental effects. In addition, the power to detect additive or dominant genetic effects quickly asymptoted, so that there was almost 100% power to detect effects explaining 20% or more of the total variance. These results demonstrate that the Cascade model has sufficient power to detect parameters of interest in existing datasets. Mx scripts are available from www.vipbg.vcu.edu/similar to sarahme/cascade.