4.8 Article

Whole-genome sequence variation, population structure and demographic history of the Dutch population

期刊

NATURE GENETICS
卷 46, 期 8, 页码 818-825

出版社

NATURE PORTFOLIO
DOI: 10.1038/ng.3021

关键词

-

资金

  1. BBMRI-NL - Netherlands Organization for Scientific Research (NWO) [184.021.007]
  2. eBioGrid
  3. CTMM/TraIT
  4. Ubbo Emmius Fund
  5. Netherlands Bioinformatics Center (NBIC)
  6. BU-BioSHARE
  7. Samenwerkingsverband Noord Nederland
  8. European Fund for Regional Development
  9. Dutch Ministry of Economic Affairs, Pieken in de Delta
  10. provinces-of Groningen and Drenthe
  11. Netherlands Organization for Scientific Research (NWO)
  12. Center for Medical Systems Biology-2
  13. European Research Council [ERC 230374]
  14. VIDI awards (NWO) [016.138.318, 016.126.354]

向作者/读者索取更多资源

Whole-genome sequencing enables complete characterization of genetic variation, but geographic clustering of rare alleles demands many diverse populations be studied. Here we describe the Genome of the Netherlands (GoNL) Project, in which we sequenced the whole genomes of 250 Dutch parent-offspring families and constructed a haplotype map of 20.4 million single-nucleotide variants and 1.2 million insertions and deletions. The intermediate coverage (similar to 13x) and trio design enabled extensive characterization of structural variation, including midsize events (30-500 bp) previously poorly catalogued and de novo mutations. We demonstrate that the quality of the haplotypes boosts imputation accuracy in independent samples, especially for lower frequency alleles. Population genetic analyses demonstrate fine-scale structure across the country and support multiple ancient migrations, consistent with historical changes in sea level and flooding. The GoNL Project illustrates how single-population whole-genome sequencing can provide detailed characterization of genetic variation and may guide the design of future population studies.

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