Department of Human Genetics, University of Chicago, Chicago, United States.
Elife. 2020 Dec 22;9:e60107. doi: 10.7554/eLife.60107.
A key challenge in human genetics is to understand the geographic distribution of human genetic variation. Often genetic variation is described by showing relationships among populations or individuals, drawing inferences over many variants. Here, we introduce an alternative representation of genetic variation that reveals the relative abundance of different allele frequency patterns. This approach allows viewers to easily see several features of human genetic structure: (1) most variants are rare and geographically localized, (2) variants that are common in a single geographic region are more likely to be shared across the globe than to be private to that region, and (3) where two individuals differ, it is most often due to variants that are found globally, regardless of whether the individuals are from the same region or different regions. Our variant-centric visualization clarifies the geographic patterns of human variation and can help address misconceptions about genetic differentiation among populations.
人类遗传学的一个关键挑战是理解人类遗传变异的地理分布。通常,遗传变异是通过显示群体或个体之间的关系来描述的,需要对许多变体进行推断。在这里,我们引入了一种遗传变异的替代表示方法,该方法揭示了不同等位基因频率模式的相对丰度。这种方法使观察者能够轻松地看到人类遗传结构的几个特征:(1)大多数变体是罕见的,并且在地理上是局部的,(2)在单个地理区域中常见的变体在全球范围内共享的可能性大于该区域特有的可能性,(3)两个人之间的差异通常是由于在全球范围内发现的变体引起的,而不管个体来自同一地区还是不同地区。我们的以变体为中心的可视化方法澄清了人类变异的地理模式,并有助于解决有关人群遗传分化的误解。