Inference of population structure using multilocus genotype data.

Inference of population structure using multilocus genotype data.
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DOI:
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发表时间:
2000-05
期刊:
影响因子:
3.3
通讯作者:
J. K. Pritchard;Matthew Stephens;Peter Donnelly
J. K. Pritchard;Matthew Stephens;Peter Donnelly
中科院分区:
生物学2区
文献类型:
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作者:
J. K. Pritchard;Matthew Stephens;Peter Donnelly

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我们描述了一个基于模型的聚类方法,使用多位点基因型数据来推断人口结构和分配个人的人口。我们假设一个模型,其中有K个群体(其中K可能是未知的),每个群体的特征是在每个位点的一组等位基因频率。样本中的个体被分配(概率)到群体中,或者如果他们的基因型表明他们是混合的,则联合分配到两个或更多个群体中。我们的模型不假设特定的突变过程,它可以应用于大多数常用的遗传标记,只要它们不是紧密连锁的。我们的方法的应用,包括展示存在的人口结构,分配个人的人口,研究混合区,并确定移民和混合的个人。我们表明,该方法可以产生高度准确的分配使用适度数量的基因座,例如,7个微卫星基因座在一个例子中使用基因型数据从濒危鸟类。本文使用的软件可以从www.example.com获得,大约是pritch/home。HTML.
We describe a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations. We assume a model in which there are K populations (where K may be unknown), each of which is characterized by a set of allele frequencies at each locus. Individuals in the sample are assigned (probabilistically) to populations, or jointly to two or more populations if their genotypes indicate that they are admixed. Our model does not assume a particular mutation process, and it can be applied to most of the commonly used genetic markers, provided that they are not closely linked. Applications of our method include demonstrating the presence of population structure, assigning individuals to populations, studying hybrid zones, and identifying migrants and admixed individuals. We show that the method can produce highly accurate assignments using modest numbers of loci-e.g. , seven microsatellite loci in an example using genotype data from an endangered bird species. The software used for this article is available from http://www.stats.ox.ac.uk/ approximately pritch/home. html.