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SgD-CNV,一个包含三个亚洲人群常见和罕见拷贝数变异的数据库。

SgD-CNV, a database for common and rare copy number variants in three Asian populations.

机构信息

Centre for Molecular Epidemiology, National University of Singapore, Singapore.

出版信息

Hum Mutat. 2011 Dec;32(12):1341-9. doi: 10.1002/humu.21601. Epub 2011 Sep 30.

DOI:10.1002/humu.21601
PMID:21882294
Abstract

Copy number variants (CNVs) extend our understanding of the genetic diversity in humans. However, the distribution and characteristics of CNVs in Asian populations remain largely unexplored, especially for rare CNVs that have emerged as important genetic factors for complex traits. In the present study, we performed an in-depth investigation of common and rare CNVs across 8,148 individuals from the three major Asian ethnic groups: Chinese (n = 1,945), Malays (n = 2,399), and Indians (n = 2,217) in Singapore, making this investigation the most comprehensive genome-wide survey of CNVs outside the European-ancestry populations to date. We detected about 16 CNVs per individual and the ratio of loss to gain events is ∼2:1. The majority of the CNVs are of low frequency (<10%), and 40% are rare (<1%). In each population, ∼20% of the CNVs are not previously catalogued in the Database of Genomic Variants (DGV). Contrary to findings from European studies, the common CNVs (>5%) in our populations are not well tagged by SNPs in Illumina 1M and 610K arrays, and most disease-associated common CNVs previously reported in Caucasians are rare in our populations. We also report noticeable population differentiation in the CNV landscape of these Asian populations, with the greatest diversity seen between the Indians and the Chinese.

摘要

拷贝数变异 (CNVs) 扩展了我们对人类遗传多样性的理解。然而,亚洲人群中的 CNV 分布和特征在很大程度上仍未得到探索,特别是对于罕见的 CNV,它们已成为复杂性状的重要遗传因素。在本研究中,我们对来自新加坡的三个主要亚洲族群(中国人(n = 1945)、马来人(n = 2399)和印度人(n = 2217))的 8148 个人进行了深入研究,对常见和罕见 CNV 进行了全面调查,这是迄今为止对欧洲血统人群以外的全基因组 CNV 进行的最全面的调查。我们在每个个体中检测到约 16 个 CNV,并且缺失到增益事件的比例约为 2:1。大多数 CNV 的频率较低(<10%),40%为罕见(<1%)。在每个群体中,约 20%的 CNV 未在基因组变异数据库(DGV)中进行编目。与欧洲研究的发现相反,我们人群中的常见 CNV(>5%)不能很好地被 Illumina 1M 和 610K 芯片上的 SNP 标记,并且以前在白种人中报道的大多数与疾病相关的常见 CNV 在我们的人群中是罕见的。我们还报告了这些亚洲人群中 CNV 景观的明显的人群分化,其中印度人和中国人之间的多样性最大。

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