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A map of human genome variation from population-scale sequencing

8129Citations signalées — pas une note de qualité
75Institutions déclarées
12Pays d’affiliation déclarés

Résumé fourni par la source

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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Contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
A map of human genome variation from population-scale sequencing
Date Crossref
27/10/2010
Éditeur
Springer Science and Business Media LLC
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.

Institutions déclarées

Wellcome Sanger InstituteInstitute for Molecular Medicine FinlandBroad InstituteBrigham and Women's HospitalHarvard UniversityCambridge HospitalMassachusetts General HospitalCenter for Human GeneticsCenter for Systems BiologyIllumina (United Kingdom)Johns Hopkins UniversityJohns Hopkins MedicineCornell UniversityNational Institutes of HealthNational Institutes of Health Clinical CenterCentre for Human GeneticsUniversity of OxfordPall Corporation (United States)European Bioinformatics InstituteWellcome TrustBaylor College of MedicineMcGill UniversityMax Planck Institute for Molecular GeneticsWashington University in St. LouisUniversity of WashingtonStanford UniversityNational Center for Biotechnology InformationBGI Group (China)University of CopenhagenUniversity College CopenhagenIT University of CopenhagenBiotechnologisches ZentrumTechnische Universität DresdenChristian-Albrechts-Universität zu KielEnzo Life Sciences (United States)Agilent Technologies (United States)Boston CollegeNational Institute of Environmental Health SciencesUniversity of VirginiaIllumina (United States)University of Washington Medical CenterCardiff UniversityIcahn School of Medicine at Mount SinaiAlbert Einstein College of MedicineLeiden University Medical CenterStanford MedicineEuropean Molecular Biology LaboratoryEuropean Molecular Biology LaboratoryEuropean Molecular Biology LaboratoryLouisiana State UniversityTranslational Genomics Research InstituteUniversity of California, Santa CruzHoward Hughes Medical InstituteUniversity of California, San FranciscoUniversity of ChicagoLung InstituteCentre National de Recherche en Génomique HumaineThe University of Texas MD Anderson Cancer CenterCentre Hospitalier de l’Université de MontréalUniversité de MontréalUniversity of UtahSimon Fraser UniversityNational Health ServiceUniversity of CambridgeUniversity of GenevaKorea National Institute of HealthYale UniversityCoriell Institute For Medical ResearchGenetic AllianceGenetic Alliance UK (United Kingdom)University of Wisconsin–MadisonNational Human Genome Research InstituteGeorge Washington UniversityUnited States Food and Drug AdministrationRice University

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Sujets associés

Genomics and Rare DiseasesGenetic Associations and EpidemiologyGenomic variations and chromosomal abnormalities

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