A map of human genome variation from population-scale sequencing Public Deposited

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Creator
  • Li, Yun
    • Affiliation: School of Medicine, Department of Genetics, Gillings School of Global Public Health, Department of Biostatistics
  • The 1000 Genomes Project Consortium
Abstract
  • The 1000 Genomes Project aims to provide a deep characterization of human genome sequence variation as a foundation for investigating the relationship between genotype and phenotype. Here we present results of the pilot phase of the project, designed to develop and compare different strategies for genome-wide sequencing with high-throughput platforms. We undertook three projects: low-coverage whole-genome sequencing of 179 individuals from four populations; high-coverage sequencing of two mother–father–child trios; and exon-targeted sequencing of 697 individuals from seven populations. We describe the location, allele frequency and local haplotype structure of approximately 15 million single nucleotide polymorphisms, 1 million short insertions and deletions, and 20,000 structural variants, most of which were previously undescribed. We show that, because we have catalogued the vast majority of common variation, over 95% of the currently accessible variants found in any individual are present in this data set. On average, each person is found to carry approximately 250 to 300 loss-of-function variants in annotated genes and 50 to 100 variants previously implicated in inherited disorders. We demonstrate how these results can be used to inform association and functional studies. From the two trios, we directly estimate the rate of de novo germline base substitution mutations to be approximately 10−8 per base pair per generation. We explore the data with regard to signatures of natural selection, and identify a marked reduction of genetic variation in the neighbourhood of genes, due to selection at linked sites. These methods and public data will support the next phase of human genetic research.
Date of publication
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Identifier
  • 2-s2.0-84975742565
  • doi:10.1038/nature09534
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Resource type
  • Article
Rights statement
  • In Copyright
Journal title
  • Nature
Journal volume
  • 467
Journal issue
  • 7319
Page start
  • 1061
Page end
  • 1073
Language
  • English
Version
  • Postprint
ISSN
  • 1476-4687
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