4.8 Article

Resequencing of 200 human exomes identifies an excess of low-frequency non-synonymous coding variants

期刊

NATURE GENETICS
卷 42, 期 11, 页码 969-U82

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/ng.680

关键词

-

资金

  1. Lundbeck Foundation
  2. National Basic Research Program of China [2011CB809200, 2007CB815703, 2007CB815705, 2006AA02Z177, 2006AA02Z334, 2006AA02A302, 2009AA022707]
  3. Chinese Academy of Science [GJHZ0701-6]
  4. National Natural Science Foundation of China [30725008, 30890032, 30811130531, 30221004]
  5. Danish Natural Science Research Council
  6. Yantian District Local Government of Shenzhen [JC200903190767A, JC200903190772A, ZYC200903240076A, CXB200903110066A, ZYC200903240077A, ZYC200903240080A]
  7. Shenzhen Municipal Government
  8. Swiss National Science Foundation
  9. American National Science Foundation
  10. Chinese 863 program [2006AA02Z177]
  11. Danish Platform for Integrative Biology

向作者/读者索取更多资源

Targeted capture combined with massively parallel exome sequencing is a promising approach to identify genetic variants implicated in human traits. We report exome sequencing of 200 individuals from Denmark with targeted capture of 18,654 coding genes and sequence coverage of each individual exome at an average depth of 12-fold. On average, about 95% of the target regions were covered by at least one read. We identified 121,870 SNPs in the sample population, including 53,081 coding SNPs (cSNPs). Using a statistical method for SNP calling and an estimation of allelic frequencies based on our population data, we derived the allele frequency spectrum of cSNPs with a minor allele frequency greater than 0.02. We identified a 1.8-fold excess of deleterious, non-syonomyous cSNPs over synonymous cSNPs in the low-frequency range (minor allele frequencies between 2% and 5%). This excess was more pronounced for X-linked SNPs, suggesting that deleterious substitutions are primarily recessive.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据