An Improved F(st) Estimator.
An Improved F(st) Estimator.
复制标题
DOI：
10.1371/journal.pone.0135368
复制
发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Rotimi CN
中科院分区：
文献类型：
--
作者：
Chen G;Yuan A;Shriner D;Tekola-Ayele F;Zhou J;Bentley AR;Zhou Y;Wang C;Newport MJ;Adeyemo A;Rotimi CN
固定指数Fst在生态学和进化遗传学研究中起着核心作用。Wright（）、Weir和Cockerham（）和哈德逊等（）的估计量被广泛用于衡量不同群体间的遗传差异，但都有局限性。我们提出了一个最小方差估计使用和。我们在模拟中进行了测试，并将其应用于来自埃塞俄比亚的120名无关的东非个体和HapMap 3中具有464，642个SNP的11个亚群。我们的模拟研究表明，与小样本量和大样本量相比，具有较小的偏倚。此外，具有比小的F st值更小的方差和比大的F st值更小的方差。我们证明，大约30个亚群和30个个体，每个亚群需要，以准确地估计F ST。
The fixation index F st plays a central role in ecological and evolutionary genetic studies. The estimators of Wright (), Weir and Cockerham (), and Hudson et al. () are widely used to measure genetic differences among different populations, but all have limitations. We propose a minimum variance estimator using and . We tested in simulations and applied it to 120 unrelated East African individuals from Ethiopia and 11 subpopulations in HapMap 3 with 464,642 SNPs. Our simulation study showed that has smaller bias than for small sample sizes and smaller bias than for large sample sizes. Also, has smaller variance than for small F st values and smaller variance than for large F st values. We demonstrated that approximately 30 subpopulations and 30 individuals per subpopulation are required in order to accurately estimate F st.