Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Quality control of large genome datasets using genome fingerprints

View ORCID ProfileMax Robinson, View ORCID ProfileGustavo Glusman
doi: https://doi.org/10.1101/600254
Max Robinson
Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Max Robinson
Gustavo Glusman
Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Gustavo Glusman
  • For correspondence: Gustavo@SystemsBiology.org
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

The 1000 Genomes Project is a foundational resource to modern human biomedicine, serving as a standard reference for human genetic variation. Recently, new versions of the 1000 Genomes Project dataset were released, expressed relative to the current version of the human reference sequence (GRCh38) and partially validated by benchmarking against reference truth sets from the Genome In A Bottle Consortium. We used our ultrafast genome comparison method (genome fingerprinting) to evaluate four versions of the 1000 Genomes Project datasets. These comparisons revealed several discrepancies in dataset membership, multiple cryptic relationships, overall changes in biallelic SNV counts, and more significant changes in SNV counts, heterozygosity and genotype concordance affecting a subset of the individuals. Based on these observations, we recommend performing global dataset comparisons, using genome fingerprints and other metrics, to supplement ‘best practice’ benchmarking relative to predefined truth sets.

  • Abbreviations used

    GIAB
    Genome In A Bottle Consortium
    GRCh37, GRCh38
    Genome Reference Consortium, human reference versions 37 and 38
    IGSR
    International Genome Sample Resource, http://www.internationalgenome.org
    SNV
    Single-nucleotide variant
    TGP
    Thousand Genomes Project
    TGP37, TGP37r, TGP38, TGP38L, TGP38r, TGP38S
    The TGP datasets studied in this work
  • Copyright 
    The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
    Back to top
    PreviousNext
    Posted April 05, 2019.
    Download PDF
    Email

    Thank you for your interest in spreading the word about bioRxiv.

    NOTE: Your email address is requested solely to identify you as the sender of this article.

    Enter multiple addresses on separate lines or separate them with commas.
    Quality control of large genome datasets using genome fingerprints
    (Your Name) has forwarded a page to you from bioRxiv
    (Your Name) thought you would like to see this page from the bioRxiv website.
    CAPTCHA
    This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
    Share
    Quality control of large genome datasets using genome fingerprints
    Max Robinson, Gustavo Glusman
    bioRxiv 600254; doi: https://doi.org/10.1101/600254
    Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
    Citation Tools
    Quality control of large genome datasets using genome fingerprints
    Max Robinson, Gustavo Glusman
    bioRxiv 600254; doi: https://doi.org/10.1101/600254

    Citation Manager Formats

    • BibTeX
    • Bookends
    • EasyBib
    • EndNote (tagged)
    • EndNote 8 (xml)
    • Medlars
    • Mendeley
    • Papers
    • RefWorks Tagged
    • Ref Manager
    • RIS
    • Zotero
    • Tweet Widget
    • Facebook Like
    • Google Plus One

    Subject Area

    • Genomics
    Subject Areas
    All Articles
    • Animal Behavior and Cognition (4095)
    • Biochemistry (8787)
    • Bioengineering (6493)
    • Bioinformatics (23388)
    • Biophysics (11766)
    • Cancer Biology (9168)
    • Cell Biology (13292)
    • Clinical Trials (138)
    • Developmental Biology (7423)
    • Ecology (11386)
    • Epidemiology (2066)
    • Evolutionary Biology (15120)
    • Genetics (10414)
    • Genomics (14024)
    • Immunology (9145)
    • Microbiology (22109)
    • Molecular Biology (8793)
    • Neuroscience (47449)
    • Paleontology (350)
    • Pathology (1423)
    • Pharmacology and Toxicology (2483)
    • Physiology (3711)
    • Plant Biology (8063)
    • Scientific Communication and Education (1433)
    • Synthetic Biology (2215)
    • Systems Biology (6021)
    • Zoology (1251)