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High Differentiation among Eight Villages in a Secluded Area of Sardinia Revealed by Genome-Wide High Density SNPs Analysis

机译:全基因组高密度SNPs分析显示撒丁岛偏僻地区的八个村庄之间的高度分化

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摘要

To better design association studies for complex traits in isolated populations it's important to understand how history and isolation moulded the genetic features of different communities. Population isolates should not “a priori” be considered homogeneous, even if the communities are not distant and part of a small region. We studied a particular area of Sardinia called Ogliastra, characterized by the presence of several distinct villages that display different history, immigration events and population size. Cultural and geographic isolation characterized the history of these communities. We determined LD parameters in 8 villages and defined population structure through high density SNPs (about 360 K) on 360 unrelated people (45 selected samples from each village). These isolates showed differences in LD values and LD map length. Five of these villages show high LD values probably due to their reduced population size and extreme isolation. High genetic differentiation among villages was detected. Moreover population structure analysis revealed a high correlation between genetic and geographic distances. Our study indicates that history, geography and biodemography have influenced the genetic features of Ogliastra communities producing differences in LD and population structure. All these data demonstrate that we can consider each village an isolate with specific characteristics. We suggest that, in order to optimize the study design of complex traits, a thorough characterization of genetic features is useful to identify the presence of sub-populations and stratification within genetic isolates.
机译:为了更好地设计针对孤立人群中复杂特征的关联研究,了解历史和孤立如何塑造不同社区的遗传特征非常重要。即使社区不遥远且是一个小区域的一部分,也不应将孤立的人口视为“先验”。我们研究了撒丁岛的一个称为Ogliastra的特定区域,其特征是存在着几个不同的村庄,这些村庄展示着不同的历史,移民事件和人口规模。文化和地理隔离是这些社区历史的特征。我们确定了8个村庄的LD参数,并通过对360个无关的人(每个村庄选择了45个样本)的高密度SNP(约360 K)来定义人口结构。这些分离株显示出LD值和LD图长度的差异。这些村庄中有五个村庄的LD值较高,这可能是由于人口减少和极端孤立所致。在村庄之间发现了高度的遗传分化。此外,人口结构分析显示遗传距离和地理距离之间存在高度相关性。我们的研究表明,历史,地理和生物人口学影响了Ogliastra社区的遗传特征,从而导致LD和人口结构的差异。所有这些数据表明,我们可以将每个村庄视为具有特定特征的隔离区。我们建议,为了优化复杂性状的研究设计,对遗传特征进行彻底的表征有助于鉴定遗传分离物中亚群和分层的存在。

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