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首页> 外文期刊>European journal of human genetics: EJHG >Investigation of the fine structure of European populations with applications to disease association studies.
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Investigation of the fine structure of European populations with applications to disease association studies.

机译:调查欧洲人群的精细结构,并将其应用于疾病关联研究。

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摘要

An investigation into fine-scale European population structure was carried out using high-density genetic variation on nearly 6000 individuals originating from across Europe. The individuals were collected as control samples and were genotyped with more than 300 000 SNPs in genome-wide association studies using the Illumina Infinium platform. A major East-West gradient from Russian (Moscow) samples to Spanish samples was identified as the first principal component (PC) of the genetic diversity. The second PC identified a North-South gradient from Norway and Sweden to Romania and Spain. Variation of frequencies at markers in three separate genomic regions, surrounding LCT, HLA and HERC2, were strongly associated with this gradient. The next 18 PCs also accounted for a significant proportion of genetic diversity observed in the sample. We present a method to predict the ethnic origin of samples by comparing the sample genotypes with those from a reference set of samples of known origin. These predictionscan be performed using just summary information on the known samples, and individual genotype data are not required. We discuss issues raised by these data and analyses for association studies including the matching of case-only cohorts to appropriate pre-collected control samples for genome-wide association studies.
机译:使用高密度遗传变异对欧洲各地近6000名个体进行了精细的欧洲人口结构调查。收集个体作为对照样品,并使用Illumina Infinium平台在全基因组关联研究中对30万个SNP进行基因分型。从俄罗斯(莫斯科)样品到西班牙样品的主要东西方梯度被确定为遗传多样性的第一个主要成分(PC)。第二个PC确定了从挪威和瑞典到罗马尼亚和西班牙的南北梯度。围绕LCT,HLA和HERC2的三个独立基因组区域中标记的频率变化与该梯度密切相关。接下来的18台PC也占样本中观察到的遗传多样性的很大比例。我们提出了一种通过将样本基因型与已知来源的参考样本集中的样本基因型进行比较来预测样本的种族起源的方法。可以仅使用已知样本的摘要信息来执行这些预测,并且不需要单独的基因型数据。我们讨论了这些数据引起的问题,并进行了关联研究分析,包括仅病例队列与适当的预先收集的对照样品的匹配,以进行全基因组关联研究。

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