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Genome-Wide Association Studies

  • Book
  • © 2022

Overview

Editors:
  1. Davoud Torkamaneh

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

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    You can also search for this editor in PubMed   Google Scholar

  2. François Belzile

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Includes cutting-edge techniques
  • Provides step-by-step detail essential for reproducible results
  • Contains key implementation advice from the experts

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

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Table of contents (20 protocols)

  1. Front Matter

    Pages i-xiii
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  2. Reviews and Overviews

    1. Front Matter

      Pages 1-1
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    2. Designing a Genome-Wide Association Study: Main Steps and Critical Decisions

      • François Belzile, Davoud Torkamaneh
      Pages 3-12

    3. Preparation and Curation of Phenotypic Datasets

      • Santiago Alvarez Prado, Fernando Hernández, Ana Laura Achilli, Agustina Amelong
      Pages 13-27

    4. Genotyping Platforms for Genome-Wide Association Studies: Options and Practical Considerations

      • David L. Hyten
      Pages 29-42

    5. Genome-Wide Association Study Statistical Models: A Review

      • Mohsen Yoosefzadeh-Najafabadi, Milad Eskandari, François Belzile, Davoud Torkamaneh
      Pages 43-62

    6. Interpretation of Manhattan Plots and Other Outputs of Genome-Wide Association Studies

      • Jiabo Wang, Jianming Yu, Alexander E. Lipka, Zhiwu Zhang
      Pages 63-80

  4. Genotypic Data and Assessment of Population Structure

    1. Front Matter

      Pages 151-151
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    2. Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association Studies

      • Philipp E. Bayer, Mitchell Gill, Monica F. Danilevicz, David Edwards
      Pages 153-159

    3. A Practical Guide to Using Structural Variants for Genome-Wide Association Studies

      • Marc-André Lemay, Sidiki Malle
      Pages 161-172

    4. Data Integration, Imputation , and Meta-analysis for Genome-Wide Association Studies

      • Reem Joukhadar, Hans D. Daetwyler
      Pages 173-183

    5. Population Structure and Relatedness for Genome-Wide Association Studies

      • Sidiki Malle
      Pages 185-196

  5. Bioinformatics Tools for GWAS

    1. Front Matter

      Pages 197-197
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    2. Performing Genome-Wide Association Studies with Multiple Models Using GAPIT

      • Jiabo Wang, You Tang, Zhiwu Zhang
      Pages 199-217

    3. Performing Genome-Wide Association Studies Using rMVP

      • Xiaolei Liu, Lilin Yin, Haohao Zhang, Xinyun Li, Shuhong Zhao
      Pages 219-245

  6. Identification of Candidate Genes and Validation

    1. Front Matter

      Pages 247-247
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Keywords

About this book

This detailed collection explores genome-wide association studies (GWAS), which have revolutionized the investigation of complex traits over the past decade and have unveiled numerous useful genotype–phenotype associations in plants. The book describes the key concepts and methods underlying GWAS, including the genetic architecture underlying variation for phenotypic traits, the structure of genetic variation in plants, technologies for capturing genetic information, study designs, and the statistical models and bioinformatics tools used for data analysis. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of invaluable implementation advice that leads to the most fruitful research results. 

Authoritative and practical, Genome-Wide Association Studies serves as an extremely valuable resource for the plant research community by rendering GWAS analysis less challenging and more accessible to a broader group of users.

Editors and Affiliations

  • Département de Phytologie, Université Laval, Quebec City, Canada

    Davoud Torkamaneh

  • Institut de biologie intégrative et des systems, Université Laval, Québec, Canada

    François Belzile

Bibliographic Information

  • Book Title: Genome-Wide Association Studies

  • Editors: Davoud Torkamaneh, François Belzile

  • Series Title: Methods in Molecular Biology

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

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2022

  • Hardcover ISBN: 978-1-0716-2236-0Published: 01 June 2022

  • Softcover ISBN: 978-1-0716-2239-1Published: 02 June 2023

  • eBook ISBN: 978-1-0716-2237-7Published: 31 May 2022

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: XIII, 371

  • Number of Illustrations: 8 b/w illustrations, 73 illustrations in colour

  • Topics: Plant Genetics and Genomics, Genetics and Genomics, Bioinformatics

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