Statistical Human Genetics

Methods and Protocols

  • Robert C. Elston

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

Table of contents

  1. Front Matter
    Pages i-xii
  2. Robert C. Elston, Jaya Satagopan, Shuying Sun
    Pages 1-9
  3. Jeffery O’Connell, Yin Yao
    Pages 11-23
  4. Lei Sun, Apostolos Dimitromanolakis, Wei-Min Chen
    Pages 45-60
  5. Indra Adrianto, Courtney Montgomery
    Pages 61-81
  6. Jian Wang, Sanjay Shete
    Pages 83-115
  7. Maren Vens, Andreas Ziegler
    Pages 117-132
  8. Adam C. Naj, Terri H. Beaty
    Pages 133-169
  9. Katrina L. Grasby, Karin J. H. Verweij, Miriam A. Mosing, Brendan P. Zietsch, Sarah E. Medland
    Pages 171-194
  10. Warren Ewens, Robert C. Elston
    Pages 211-232
  11. Xiangqing Sun
    Pages 233-256
  12. Jérémie Nsengimana, D. Timothy Bishop
    Pages 257-281
  13. Yeunjoo E. Song, Sunah Song, Audrey H. Schnell
    Pages 283-310
  14. Rita M. Cantor
    Pages 311-326
  15. Nathan J. Morris, Catherine M. Stein
    Pages 327-342
  16. Wei Xu, Jin Ma, Celia M. T. Greenwood, Andrew D. Paterson, Shelley B. Bull
    Pages 343-373
  17. Gang Zheng, Ao Yuan, Qizhai Li, Joseph L. Gastwirth
    Pages 375-389
  18. Ren-Hua Chung, Daniel D. Kinnamon, Eden R. Martin
    Pages 391-407

About this book

Introduction

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.

Keywords

disequilibrium coefficients heritability multipoint linkage analysis binary trait GWAS

Editors and affiliations

  • Robert C. Elston
    • 1
  1. 1.Case Western Reserve UniversityClevelandUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-7274-6
  • Copyright Information Springer Science+Business Media LLC 2017
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-7273-9
  • Online ISBN 978-1-4939-7274-6
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • About this book
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