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Statistical Human Genetics

Methods and Protocols

  • Book
  • © 2017

Overview

Editors:
  1. Robert C. Elston

    1. Case Western Reserve University, Cleveland, USA

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

Part of the book series: Methods in Molecular Biology (MIMB, volume 1666)

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Table of contents (32 protocols)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Statistical Genetic Terminology

    • Robert C. Elston, Jaya Satagopan, Shuying Sun
    Pages 1-9

  3. Identification of Genotype Errors

    • Jeffery O’Connell, Yin Yao
    Pages 11-23

  4. Detecting Pedigree Relationship Errors

    • Lei Sun
    Pages 25-44

  5. Identifying Cryptic Relationships

    • Lei Sun, Apostolos Dimitromanolakis, Wei-Min Chen
    Pages 45-60

  6. Estimating Allele Frequencies

    • Indra Adrianto, Courtney Montgomery
    Pages 61-81

  7. Testing Departure from Hardy-Weinberg Proportions

    • Jian Wang, Sanjay Shete
    Pages 83-115

  8. Estimating Disequilibrium Coefficients

    • Maren Vens, Andreas Ziegler
    Pages 117-132

  9. Detecting Familial Aggregation

    • Adam C. Naj, Terri H. Beaty
    Pages 133-169

  10. Estimating Heritability from Twin Studies

    • Katrina L. Grasby, Karin J. H. Verweij, Miriam A. Mosing, Brendan P. Zietsch, Sarah E. Medland
    Pages 171-194

  11. Estimating Heritability from Nuclear Family and Pedigree Data

    • Murielle Bochud
    Pages 195-210

  12. Correcting for Ascertainment

    • Warren Ewens, Robert C. Elston
    Pages 211-232

  13. Segregation Analysis Using the Unified Model

    • Xiangqing Sun
    Pages 233-256

  14. Design Considerations for Genetic Linkage and Association Studies

    • Jérémie Nsengimana, D. Timothy Bishop
    Pages 257-281

  15. Model-Based Linkage Analysis of a Quantitative Trait

    • Yeunjoo E. Song, Sunah Song, Audrey H. Schnell
    Pages 283-310

  16. Model-Based Linkage Analysis of a Binary Trait

    • Rita M. Cantor
    Pages 311-326

  17. Model-Free Linkage Analysis of a Quantitative Trait

    • Nathan J. Morris, Catherine M. Stein
    Pages 327-342

  18. Model-Free Linkage Analysis of a Binary Trait

    • Wei Xu, Jin Ma, Celia M. T. Greenwood, Andrew D. Paterson, Shelley B. Bull
    Pages 343-373

  19. Single Marker Association Analysis for Unrelated Samples

    • Gang Zheng, Ao Yuan, Qizhai Li, Joseph L. Gastwirth
    Pages 375-389

  20. Single Marker Family-Based Association Analysis Conditional on Parental Information

    • Ren-Hua Chung, Daniel D. Kinnamon, Eden R. Martin
    Pages 391-407
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Keywords

About this book

The aim of this volume is to make computer programs for analyzing human genetic data more easily accessible to the beginner.Statistical Human Genetics: Methods and Protocols, Second Edition provides updated and new chapters detailing genetic terms, analysis software, and how to interpret the program outputs. Written in the highly successful Methods in Molecular Biology series format, the chapters include introductions to their respective topics, step-by-step instructions, and tips on troubleshooting and avoiding known pitfalls. 

The purpose of Statistical Human Genetics: Methods and Protocols, Second Edition is to ensure successful and meaningful results in the fast-growing field of genetic epidemiology.

Editors and Affiliations

  • Case Western Reserve University, Cleveland, USA

    Robert C. Elston

Bibliographic Information

  • Book Title: Statistical Human Genetics

  • Book Subtitle: Methods and Protocols

  • Editors: Robert C. Elston

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-4939-7274-6

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media LLC 2017

  • Hardcover ISBN: 978-1-4939-7273-9Published: 04 October 2017

  • Softcover ISBN: 978-1-4939-8438-1Published: 14 August 2018

  • eBook ISBN: 978-1-4939-7274-6Published: 04 October 2017

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 2

  • Number of Pages: XII, 689

  • Number of Illustrations: 50 b/w illustrations, 64 illustrations in colour

  • Topics: Human Genetics

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