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Statistical Human Genetics

Methods and Protocols

  • Book
  • © 2012

Overview

Editors:
  1. Robert C. Elston

    1. School of Medicine, Dept. Epidemiology & Biostatistics, Case Western Reserve University, Cleveland, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Jaya M. Satagopan

    1. Dept. Epidemiology & Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Shuying Sun

    1. School of Medicine, Dept. Epidemiology & Biostatistics, Case Western Reserve University, Cleveland, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Demonstrates methods in a wide variety of computer programs
  • 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 850)

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Table of contents (30 protocols)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Genetic Terminology

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

  3. Identification of Genotype Errors

    • Yin Y. Shugart, Ying Wang
    Pages 11-24

  4. Detecting Pedigree Relationship Errors

    • Lei Sun
    Pages 25-46

  5. Identifying Cryptic Relationships

    • Lei Sun, Apostolos Dimitromanolakis
    Pages 47-57

  6. Estimating Allele Frequencies

    • Indra Adrianto, Courtney Montgomery
    Pages 59-76

  7. Testing Departure from Hardy–Weinberg Proportions

    • Jian Wang, Sanjay Shete
    Pages 77-102

  8. Estimating Disequilibrium Coefficients

    • Maren Vens, Andreas Ziegler
    Pages 103-117

  9. Detecting Familial Aggregation

    • Adam C. Naj, Yo Son Park, Terri H. Beaty
    Pages 119-150

  10. Estimating Heritability from Twin Studies

    • Karin J. H. Verweij, Miriam A. Mosing, Brendan P. Zietsch, Sarah E. Medland
    Pages 151-170

  11. Estimating Heritability from Nuclear Family and Pedigree Data

    • Murielle Bochud
    Pages 171-186

  12. Correcting for Ascertainment

    • Warren Ewens, Robert C. Elston
    Pages 187-209

  13. Segregation Analysis Using the Unified Model

    • Xiangqing Sun
    Pages 211-235

  14. Design Considerations for Genetic Linkage and Association Studies

    • Jérémie Nsengimana, D. Timothy Bishop
    Pages 237-262

  15. Model-Based Linkage Analysis of a Quantitative Trait

    • Audrey H. Schnell, Xiangqing Sun
    Pages 263-283

  16. Model-Based Linkage Analysis of a Binary Trait

    • Rita M. Cantor
    Pages 285-300

  17. Model-Free Linkage Analysis of a Quantitative Trait

    • Nathan J. Morris, Catherine M. Stein
    Pages 301-316

  18. Model-Free Linkage Analysis of a Binary Trait

    • Wei Xu, Shelley B. Bull, Lucia Mirea, Celia M. T. Greenwood
    Pages 317-345

  19. Single Marker Association Analysis for Unrelated Samples

    • Gang Zheng, Jinfeng Xu, Ao Yuan, Joseph L. Gastwirth
    Pages 347-358

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

    • Ren-Hua Chung, Eden R. Martin
    Pages 359-370
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Keywords

About this book

Recent advances in genetics over the last quarter of a century, especially in molecular techniques, have dramatically reduced the cost of determining genetic markers and hence opened up a field of research that is increasingly helping to detect, prevent and/or cure many diseases that afflict humans. In Statistical Human Genetics: Methods and Protocols expert researchers in the field describe statistical methods and computer programs in the detail necessary to make them more easily accessible to the beginner analyzing data. Written in the highly successful Methods in Molecular Biology™ series format, with examples of running the programs and interpreting the program outputs, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results from human genetic data collected in the laboratory.

 

Thorough and as much as possible intuitive, Statistical Human Genetics: Methods and Protocols aids scientists in understanding the computer programs and analytical procedures they need to use.

Editors and Affiliations

  • School of Medicine, Dept. Epidemiology & Biostatistics, Case Western Reserve University, Cleveland, USA

    Robert C. Elston, Shuying Sun

  • Dept. Epidemiology & Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, USA

    Jaya M. Satagopan

Bibliographic Information

  • Book Title: Statistical Human Genetics

  • Book Subtitle: Methods and Protocols

  • Editors: Robert C. Elston, Jaya M. Satagopan, Shuying Sun

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-61779-555-8

  • Publisher: Humana Totowa, NJ

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media, LLC 2012

  • Hardcover ISBN: 978-1-61779-554-1Published: 04 February 2012

  • Softcover ISBN: 978-1-4939-5895-5Published: 23 August 2016

  • eBook ISBN: 978-1-61779-555-8Published: 04 February 2012

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: XI, 564

  • Topics: Animal Genetics and Genomics, Human Genetics, Biostatistics

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