Cited by 7,877Genetic Associations and EpidemiologyGenomics and Rare DiseasesGenomics and Phylogenetic Studies

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A map of human genome variation from population-scale sequencing.

Open access
The 1000 Genomes Project Consortium·2010·Nature

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. This issue of Nature contains the first publication from The 1000 Genomes Project, an international collaboration that will produce an extensive public catalogue of human genetic variation. The plan, in fact, is to sequence about 2,000 unidentified individuals from 20 populations around the world. This first paper presents the results from the project's pilot phase, testing three different strategies for genome-wide sequencing with high-throughput platforms: low-coverage whole-genome sequencing of 179 individuals in three population groups, high-coverage sequencing of two mother–father–child trios, and exon-targeted sequencing of 697 individuals from seven populations. The goal of the 1000 Genomes Project is to provide in-depth information on variation in human genome sequences. In the pilot phase reported here, different strategies for genome-wide sequencing, using high-throughput sequencing platforms, were developed and compared. The resulting data set includes more than 95% of the currently accessible variants found in any individual, and can be used to inform association and functional studies.

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  1. Le, S. Q., Li, H. & Durbin, R. QCALL: SNP detection and genotyping from low coverage sequence data on multiple diploid samples. Genome Res. (in the press)

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Metadata

Authors
The 1000 Genomes Project Consortium
Venue
Nature
Published
2010-10-27
Volume
467
Issue
7319
Pages
1061-1073
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2171777347
Cited by
7,877
References
50
Citations by year
2026: 126 · 2025: 209 · 2024: 298 · 2023: 229 · 2022: 258 · 2021: 323 · 2020: 305 · 2019: 398 · 2018: 428 · 2017: 500 · 2016: 585 · 2015: 736 · 2014: 828 · 2013: 964 · 2012: 978
FWCI
476.44
Type
journal article
Language
en
Update notices
erratum (2011-05-26)
Open access
Locations
  • Nature (publishedVersion, cc-by-nc-sa)
  • PubMed (publishedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by-nc-sa)
  • Archive ouverte UNIGE (University of Geneva) (publishedVersion, other-oa)
  • PubMed Central (acceptedVersion)
  • ANU Open Research (Australian National University) (submittedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
  • Civil War Book Review (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • Leiden Repository (Leiden University) (submittedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
  • Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
Funders
  • National Science Foundation
  • Howard Hughes Medical Institute
  • Doris Duke Charitable Foundation
  • Pew Charitable Trusts
  • Wellcome Trust (085532, /WT081407/Z/06/Z, 086084, WT086084/Z/08/Z, 075491, 089062, 077009, WT075491/Z/04, 077192, WT085532AIA, WT089088/Z/09/Z, 077014, 89305, 081407, 089061, 089088)
  • Translational Genomics Research Institute
  • National Institute for Health and Care Research (NF-SI-0508-10212)
  • British Heart Foundation (RG/09/012/28096)
  • Leverhulme Trust
  • European Commission (242257)
  • Deutsche Forschungsgemeinschaft
  • Louis-Jeantet Foundation
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (28096)
  • National Natural Science Foundation of China (973 Program, 30890032, 30221004, 30725008, 30811130531)
  • Bundesministerium für Bildung und Forschung (01GS08201, 0315428A)
  • Government of Jiangxi Province
  • Max-Planck-Gesellschaft
  • Ministero dello Sviluppo Economico
  • National Institutes of Health (5p41hg004221-03, n01hg62088-6-0-1)
  • Medical Research Council
  • Engineering and Physical Sciences Research Council
  • National High-tech Research and Development Program
  • National Key Research and Development Program of China (“973” Program)
  • National Institute on Alcohol Abuse and Alcoholism (R21AA022707)
  • National Institute of Mental Health (01MH84698, R01MH084698)
  • National Human Genome Research Institute (P41HG2371, U54HG002750, P41HG004222, U54HG003067, U54HG002757, R01HG2651, U01HG005211, P50HG002357, R01HG4719, U01HG5214, R01HG004333, U54HG3273, RC2HG5552, R01HG003229, R01HG003698, U54HG003079, U01HG5209, P01HG004120, U41HG002371, P01HG4120, U54HG3067, U01HG5210, R01HG4333, R01HG002651, U54HG003273, U01HG005210, R01HG004719, U54HG2750, R01HG3698, U01HG5211, U01HG005214, 01HG3229, P41HG4221, U01HG005209, U41HG4568, U01HG5208, RC2HG005552, R01HG002510, N01 HG062088, P41HG002371, P41HG4222, U54HG2757, R01HG004960, F31HG005201, U01HG005208, U54HG3079, R01HG4960, P50HG2357, U41HG004568, U24HG002371, P41-HG004221)
  • National Institute of General Medical Sciences (R01GM72861, T32GM007753, R01GM059290, R01 GM59290, R01GM072861)
  • National Institute of Environmental Health Sciences (28096)
  • U.S. National Library of Medicine
  • National Center for Research Resources (S10RR025056)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Keywords
human genetic variation, 1000 Genomes Project, single nucleotide polymorphisms, indels, structural variants, loss-of-function mutations, de novo mutations, natural selection signatures, haplotype structure, allele frequency, population genetic variation, genotype-phenotype correlation
MeSH terms
Calibration, DNA Mutational Analysis, DNA, Mitochondrial, Female, Genetics, Population, Genotype, Haplotypes, Humans, Male, Mutation, Pilot Projects, Recombination, Genetic, Selection, Genetic, Genetic Variation, Genome, Human, Sequence Alignment, Sequence Analysis, DNA, Sample Size, Evolution, Molecular, Computational Biology, Polymorphism, Single Nucleotide, Genomics, Chromosomes, Human, Y, Genome-Wide Association Study, Genetic Association Studies

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