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Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association Studies

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Genome-Wide Association Studies

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2481))

Abstract

Single-nucleotide polymorphisms (SNPs) have become the primary type of molecular genetic marker used in a diverse range of genetic and genomic studies. SNPs can be used to identify genomic regions linked to traits such as disease in genome-wide association studies, to understand population structure and diversity, or to understand mechanisms of genome evolution. One of the first steps of any SNP-based workflow, following SNP discovery, is quality control of SNP data. The protocol described here details how to perform quality control on SNP data to minimise errors in downstream analysis.

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Author information

Authors and Affiliations

  1. Applied Bioinformatics Group, School of Biological Sciences, The University of Western Australia, Perth, WA, Australia

    Philipp E. Bayer, Mitchell Gill, Monica F. Danilevicz & David Edwards

Authors
  1. Philipp E. Bayer
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  2. Mitchell Gill
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  3. Monica F. Danilevicz
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  4. David Edwards
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Corresponding author

Correspondence to David Edwards .

Editor information

Editors and Affiliations

  1. Département de Phytologie, Université Laval, Quebec City, QC, Canada

    Davoud Torkamaneh

  2. Institut de biologie intégrative et des systems, Université Laval, Québec, QC, Canada

    François Belzile

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© 2022 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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Bayer, P.E., Gill, M., Danilevicz, M.F., Edwards, D. (2022). Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association Studies. In: Torkamaneh, D., Belzile, F. (eds) Genome-Wide Association Studies. Methods in Molecular Biology, vol 2481. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2237-7_9

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  • DOI: https://doi.org/10.1007/978-1-0716-2237-7_9

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2236-0

  • Online ISBN: 978-1-0716-2237-7

  • eBook Packages: Springer Protocols

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