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Handbook on Analyzing Human Genetic Data

Computational Approaches and Software

  • Book
  • © 2010

Overview

Authors:
  1. Shili Lin

    1. Dept. Statistics, Ohio State University, Columbus, U.S.A.

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  2. Hongyu Zhao

    1. School of Medicine, Yale University, New Haven, U.S.A.

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    You can also search for this author in PubMed   Google Scholar

  • Focus on computational methods and associated software
  • Competing methods and software are compared and relative advantages and disadvantages highlighted
  • Helps to select the appropriate methods for a particular genetic problem
  • Includes supplementary material: sn.pub/extras

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Table of contents (11 chapters)

  1. Front Matter

    Pages 1-12
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  2. Population Genetics

    • Bruce Weir
    Pages 1-23

  3. Haplotype Structure

    • Yu Zhang, Tianhua Niu
    Pages 25-79

  4. Linkage Analysis of Qualitative Traits

    • Mingyao Li, Gonçalo R. Abecasis
    Pages 81-118

  5. Linkage Analysis of Quantitative Traits

    • Christopher I. Amos, Bo Peng, Yaji Xu, Jianzhong Ma
    Pages 119-145

  6. Markov Chain Monte Carlo Linkage Analysis Methods

    • Robert P. Igo, Yuqun Luo Jr., Shili Lin
    Pages 147-169

  7. Population-Based Association Studies

    • Xiaofeng Zhu, ShuangLin Zhang
    Pages 171-190

  8. Family-Based Association Studies

    • Kui Zhang, Hongyu Zhao
    Pages 191-240

  9. Haplotype Association Analysis

    • Michael P. Epstein, Lydia C. Kwee
    Pages 241-276

  10. Multiple Comparisons/Testing Issues

    • Qingrun Zhang, Jurg Ott
    Pages 277-287

  11. Estimating the Absolute Risk of Disease Associated with Identified Mutations

    • Mitchell H. Gail, Nilanjan Chatterjee
    Pages 289-305

  12. Processing Large-Scale, High-Dimension Genetic and Gene Expression Data

    • Cliona Molony, Solveig K. Sieberts, Eric E. Schadt
    Pages 307-330

  13. Back Matter

    Pages 1-3
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Keywords

About this book

The discipline of statistical genetics is highly computational. Be it exact compu- tionalmethods,simulationbased,orahybridofthetwo,computationalpackagesare indispensable tools and constant companions of researchers in the ?eld. This ha- bookisintendedtoprovidehumangeneticistsandotherbiomedicalresearcherswith guidance on selections of appropriate computational methods and software pa- ages for their speci?c genetic problems. It may also be used by students and other learners as a reference in conjunction with a more theoretical and/or methodolo- cally oriented text book. This book tries to strike a balance between methodological expositions and practical guidelines for software selections. Wherever possible, comparisons among the competing methods and software are made to highlight the relativeadvantagesanddisadvantagesoftheapproaches,so thatthe readercanmake informed choices to best match their speci?c needs. Human genetics has been undergoing an evolution in the past several years as new knowledge and technologies are transforming the ?eld, leading to numerous new discoveriesof genes associated with complex traits such as cancer, obesity, and diabetes. Many recent genome-wide association studies employ the case–control design, where the study subjects consist of unrelated affected individuals and n- mal controls. For each individual, a large number of genetic markers are queried.

Authors and Affiliations

  • Dept. Statistics, Ohio State University, Columbus, U.S.A.

    Shili Lin

  • School of Medicine, Yale University, New Haven, U.S.A.

    Hongyu Zhao

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