Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Charlotte Auerbach Road, Edinburgh, EH8 9FL, UK.
Heredity (Edinb). 2019 Jul;123(1):44-49. doi: 10.1038/s41437-019-0195-1. Epub 2019 Jun 12.
There has been a long history of the use of mathematics in genetics, ranging from the use of statistics to analyse genetic data to genetic models of evolutionary processes. Contemporary research into the genomic basis of disease and complex traits exemplifies the importance of statistical methods in genetics. Some examples of the development and application of population genetic models are described, which are intended to highlight the utility of such models for understanding variation and evolution in natural populations. The effects of selection on variability at sites linked to the targets of selection illustrate how fruitful interactions between theory and data can be.
数学在遗传学中的应用由来已久,从使用统计学分析遗传数据到遗传进化过程模型。当代对疾病和复杂特征的基因组基础的研究,充分说明了统计方法在遗传学中的重要性。本文描述了一些群体遗传模型的发展和应用,旨在强调这些模型对于理解自然群体中变异和进化的有用性。选择对与选择目标相关的位点变异性的影响说明了理论和数据之间的有益相互作用是如何产生的。