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首页> 外文期刊>The American Journal of Human Genetics >Proportioning whole-genome single-nucleotide-polymorphism diversity for the identification of geographic population structure and genetic ancestry
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Proportioning whole-genome single-nucleotide-polymorphism diversity for the identification of geographic population structure and genetic ancestry

机译:按比例分配全基因组单核苷酸多态性多样性,以鉴定地理种群结构和遗传血统

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摘要

The identification of geographic population structure and genetic ancestry on the basis of a minimal set of genetic markers is desirable for a wide range of applications in medical and forensic sciences. However, the absence of sharp discontinuities in the neutral genetic diversity among human populations implies that, in practice, a large number of neutral markers will be required to identify the genetic ancestry of one individual. We showed that it is possible to reduce the amount of markers required for detecting continental population structure to only 10 single-nucleotide polymorphisms ( SNPs), by applying a newly developed ascertainment algorithm to Affymetrix GeneChip Mapping 10K SNP array data that we obtained from samples of globally dispersed human individuals ( the Y Chromosome Consortium panel). Furthermore, this set of SNPs was able to recover the genetic ancestry of individuals from all four continents represented in the original data set when applied to an independent, much larger, worldwide population data set ( Centre d'Etude du Polymorphisme Humain-Human Genome Diversity Project Cell Line Panel). Finally, we provide evidence that the unusual patterns of genetic variation we observed at the respective genomic regions surrounding the five most informative SNPs is in agreement with local positive selection being the explanation for the striking SNP allele-frequency differences we found between continental groups of human populations.
机译:基于最小数量的遗传标记来识别地理种群结构和遗传血统,对于医学和法医学的广泛应用是理想的。但是,人类中性遗传多样性没有明显的不连续性,这意味着在实践中将需要大量中性标记来鉴定一个人的遗传血统。我们表明,通过对Affymetrix GeneChip Mapping 10K SNP阵列数据应用新开发的确定算法,可以将检测大陆种群结构所需的标志物数量减少到仅10个单核苷酸多态性(SNP),这是从我们的样本中获得的全球散布的人类个体(Y染色体联盟小组)。此外,当将这些SNP应用于独立的,更大得多的全球人口数据集时,它能够恢复原始数据集中代表的所有四大洲的个体的遗传血统(Human-Human Genome Diversity,Edude du Polymorphisme中心)项目细胞系面板)。最后,我们提供证据表明,我们在五个信息最丰富的SNP周围的各个基因组区域观察到的异常遗传变异模式与局部阳性选择相符,这是我们在人类大陆组之间发现的惊人SNP等位基因频率差异的解释人口。

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