Rakovski Cyril S, Weiss Scott T, Laird Nan M, Lange Christoph
Department of Biostatistics, Harvard School of Public Health, Harvard Medical School, Boston, MA 02115, USA.
Hum Hered. 2008;66(2):122-6. doi: 10.1159/000119111. Epub 2008 Mar 31.
Develop a new test for family-based association studies and continuous traits that incorporates power- enhancing techniques from two existing testing strategies.
The new procedure initiates with an extraction of the relevant information from the variability of the genotypes and an assessment of the approximate individual markers effects and their directions. This information is incorporated in the construction of the actual test statistic through a selection of a data-determined number of optimal linear combinations of the offspring genotypes which, in a power enhancing step, are consequently combined into a single degree of freedom test. We conduct a comparison simulation study in which the performance of the new test is contrasted with the test that is currently known to offer the highest overall power, FBAT-LC.
The new test has an overall performance very similar to that of FBAT-LC but attains higher power in candidate genes with lower average pairwise correlations and moderate to high allele frequencies with large gains (up to 80%) for some of the analyzed genes possessing the above-mentioned characteristics.
The new test is a promising tool for candidate gene studies with substantial power gains for genes that are characterized by SNPs with low mean pairwise correlation.
开发一种用于基于家系的关联研究和连续性性状的新测试方法,该方法整合了来自两种现有测试策略的增强功效技术。
新程序首先从基因型变异性中提取相关信息,并评估各个标记的近似效应及其方向。通过选择由数据确定数量的后代基因型的最佳线性组合,将这些信息纳入实际测试统计量的构建中,在增强功效步骤中,这些组合进而被合并为单自由度测试。我们进行了一项比较模拟研究,将新测试的性能与目前已知具有最高总体功效的测试FBAT-LC进行对比。
新测试的总体性能与FBAT-LC非常相似,但在平均成对相关性较低且等位基因频率为中等到较高的候选基因中具有更高的功效,对于一些具有上述特征的分析基因,功效提升幅度较大(高达80%)。
新测试是候选基因研究的一种有前景的工具,对于以平均成对相关性较低的单核苷酸多态性为特征的基因,功效有显著提高。