Statistics for Biology and Health

Design, Analysis, and Interpretation of Genome-Wide Association Scans

Authors: Stram, Daniel O.

  • Ushers in future with GWAS studies as a more routine part of clinical trials of drugs, drug combination therapy and a part of the general goal of seeking personalized medicine
  • Does not require previous work in genetics or genetic epidemiology
  • Serves as both a reference and study guide for researchers, especially statisticians, working in these areas
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  • ISBN 978-1-4614-9443-0
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Hardcover $109.00
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  • ISBN 978-1-4614-9442-3
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  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
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  • ISBN 978-1-4939-4952-6
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About this book

This book presents the statistical aspects of designing, analyzing and interpreting the results of genome-wide association scans (GWAS studies) for genetic causes of disease using unrelated subjects. Particular detail is given to the practical aspects of employing the bioinformatics and data handling methods necessary to prepare data for statistical analysis. The goal in writing this book is to give statisticians, epidemiologists, and students in these fields the tools to design a powerful genome-wide study based on current technology. The other part of this is showing readers how to conduct analysis of the created study.

Design and Analysis of Genome-Wide Association Studies provides a compendium of well-established statistical methods based upon single SNP associations. It also provides an introduction to more advanced statistical methods and issues. Knowing that technology, for instance large scale SNP arrays, is quickly changing, this text has significant lessons for future use with sequencing data. Emphasis on statistical concepts that apply to the problem of finding disease associations irrespective of the technology ensures its future applications. The author includes current bioinformatics tools while outlining the tools that will be required for use with extensive databases from future large scale sequencing projects. The author includes current bioinformatics tools while outlining additional issues and needs arising from the extensive databases from future large scale sequencing projects.

About the authors

Dr. Stram’s interests center on the application of modern statistical methods to epidemiologic studies: his research includes methods in longitudinal analysis, meta-analysis, survival analysis, and the analysis of errors in exposure measurement and he is well known for his work on the Atomic Bomb survivors study, the Colorado Plateau Uranium Miners study, the Multiethnic Cohort study and on clinical trials of childhood cancer. He has been an investigator and collaborator on many large scale genetic association studies with an emphasis on multi-ethnic analyses, and has published widely on haplotype analysis, analysis of hidden population structure, and the design of multi-stage genotyping and genome-wide association studies.

Table of contents (8 chapters)

  • Introduction

    Stram, Daniel O.

    Pages 1-29

  • Topics in Quantitative Genetics

    Stram, Daniel O.

    Pages 31-77

  • An Introduction to Association Analysis

    Stram, Daniel O.

    Pages 79-133

  • Correcting for Hidden Population Structure in Single Marker Association Testing and Estimation

    Stram, Daniel O.

    Pages 135-181

  • Haplotype Imputation for Association Analysis

    Stram, Daniel O.

    Pages 183-211

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-1-4614-9443-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-1-4614-9442-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-1-4939-4952-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Design, Analysis, and Interpretation of Genome-Wide Association Scans
Authors
Series Title
Statistics for Biology and Health
Copyright
2014
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-9443-0
DOI
10.1007/978-1-4614-9443-0
Hardcover ISBN
978-1-4614-9442-3
Softcover ISBN
978-1-4939-4952-6
Series ISSN
1431-8776
Edition Number
1
Number of Pages
XV, 334
Number of Illustrations and Tables
39 b/w illustrations
Topics