Integrating common and rare genetic variation in diverse human populations.

Integrating common and rare genetic variation in diverse human populations.
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DOI:
10.1038/nature09298
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发表时间:
2010-09-02
期刊:
影响因子:
64.8
通讯作者:
--
中科院分区:
综合性期刊1区
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--
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尽管在确定影响人类疾病的基因变异方面取得了很大进展,但大多数遗传风险仍然无法解释。更全面的了解需要全基因组研究,充分检查具有广泛祖先的人群中不常见的等位基因。为了设计和解释这些研究,我们对来自11个全球人群的1184个参考个体的160万个常见单核苷酸多态性(snp)进行了基因分型,并对其中692个个体的10个100千碱基区域进行了测序。这个被称为“HapMap 3”的常见和罕见等位基因的综合数据集包括snp和拷贝数多态性(CNPs)。我们描述了低频变异之间的群体特异性差异,测量了更大的参考面板所提供的输入精度的提高,特别是在输入小等位基因频率≤5%的snp时,并证明了输入新发现的CNPs和snp的可行性。这种扩大的全球人群基因组变异公共资源支持对基因组变异及其在人类疾病中的作用进行更深入的研究,并为绘制人类遗传变异景观的高分辨率地图迈出了一步。
Despite great progress in identifying genetic variants that influence human disease, most inherited risk remains unexplained. A more complete understanding requires genome-wide studies that fully examine less common alleles in populations with a wide range of ancestry. To inform the design and interpretation of such studies, we genotyped 1.6 million common single nucleotide polymorphisms (SNPs) in 1,184 reference individuals from 11 global populations, and sequenced ten 100-kilobase regions in 692 of these individuals. This integrated data set of common and rare alleles, called ‘HapMap 3’, includes both SNPs and copy number polymorphisms (CNPs). We characterized population-specific differences among low-frequency variants, measured the improvement in imputation accuracy afforded by the larger reference panel, especially in imputing SNPs with a minor allele frequency of ≤5%, and demonstrated the feasibility of imputing newly discovered CNPs and SNPs. This expanded public resource of genome variants in global populations supports deeper interrogation of genomic variation and its role in human disease, and serves as a step towards a high-resolution map of the landscape of human genetic variation.
DOI: 10.1038/nature06258
发表时间: 2007-10-18
期刊: NATURE
影响因子: 64.8
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