Department of Integrative Biology, University of California, Berkeley, Berkeley, California 94720, USA.
Genome Res. 2010 Mar;20(3):291-300. doi: 10.1101/gr.079509.108. Epub 2010 Jan 12.
Population genetics has evolved from a theory-driven field with little empirical data into a data-driven discipline in which genome-scale data sets test the limits of available models and computational analysis methods. In humans and a few model organisms, analyses of whole-genome sequence polymorphism data are currently under way. And in light of the falling costs of next-generation sequencing technologies, such studies will soon become common in many other organisms as well. Here, we assess the challenges to analyzing whole-genome sequence polymorphism data, and we discuss the potential of these data to yield new insights concerning population history and the genomic prevalence of natural selection.
群体遗传学已经从一个理论驱动的领域发展而来，这个领域的数据很少，现在已经变成了一个数据驱动的学科，其中基因组规模的数据集检验了现有模型和计算分析方法的极限。在人类和一些模式生物中，全基因组序列多态性数据的分析正在进行中。鉴于下一代测序技术成本的下降，这种研究在许多其他生物中也很快变得普遍。在这里，我们评估了分析全基因组序列多态性数据的挑战，并讨论了这些数据在揭示种群历史和自然选择的基因组普遍性方面产生新见解的潜力。
