期刊
MOLECULAR BIOLOGY AND EVOLUTION
卷 19, 期 12, 页码 2092-2100出版社
OXFORD UNIV PRESS
DOI: 10.1093/oxfordjournals.molbev.a004034
关键词
population growth; population expansion; coalescent simulations; neutrality tests
A number of statistical tests for detecting population growth are described. We compared the statistical power of these tests with that of others available in the literature. The tests evaluated fall into three categories: those tests based on the distribution of the mutation frequencies, on the haplotype distribution, and on the mismatch distribution. We found that, for an extensive variety of cases, the most powerful tests for detecting population growth are Fu's F-S test and the newly developed R-2 test. The behavior of the R-2 test is superior for small sample sizes, whereas F-S is better for large sample sizes. We also show that some popular statistics based on the mismatch distribution are very conservative.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据