Beaumont M A
School of Animal and Microbial Sciences, University of Reading, Whiteknights, PO Box 228, Reading RG6 6AJ, UK.
Heredity (Edinb). 2004 May;92(5):365-79. doi: 10.1038/sj.hdy.6800447.
Over the last decade, a number of new methods of population genetic analysis based on likelihood have been introduced. This review describes and explains the general statistical techniques that have recently been used, and discusses the underlying population genetic models. Experimental papers that use these methods to infer human demographic and phylogeographic history are reviewed. It appears that the use of likelihood has hitherto had little impact in the field of human population genetics, which is still primarily driven by more traditional approaches. However, with the current uncertainty about the effects of natural selection, population structure and ascertainment of single-nucleotide polymorphism markers, it is suggested that likelihood-based methods may have a greater impact in the future.
在过去十年中，已经引入了一些基于似然性的群体遗传分析新方法。本综述描述并解释了最近使用的一般统计技术，并讨论了潜在的群体遗传模型。对使用这些方法推断人类人口统计学和系统地理学历史的实验论文进行了综述。看来，似然性方法迄今为止在人类群体遗传学领域影响甚微，该领域仍主要由更传统的方法驱动。然而，鉴于目前自然选择、群体结构和单核苷酸多态性标记确定的影响存在不确定性，有人认为基于似然性的方法未来可能会产生更大的影响。
