Introduction to Statistical Methods in Modern Genetics  book cover
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Introduction to Statistical Methods in Modern Genetics





ISBN 9780367398903
Published September 5, 2019 by CRC Press
247 Pages

 
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Book Description

Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read for beginners in the field, and formulae quickly become very tedious to fit a particular area of application.

Introduction to Statistical Methods in Modern Genetics distinguishes between the necessary and unnecessary complexity in a presentation designed for graduate-level statistics students. The author keeps derivations simple, but does so without losing the mathematical details. He also provides the required background in modern genetics for those looking forward to entering this arena. Along with some of the statistical tools important in genetics applications, students will learn:

  • How a gene is found
  • How scientists have separated the genetic and environmental aspects of a person's intelligence
  • How genetics are used in agriculture to improve crops and domestic animals
  • What a DNA fingerprint is and why there are controversies about it

    Although the author assumes students have a foundation in basic statistics, an appendix provides the necessary background beyond the elementary, including multinomial distributions, inference on frequency tables, and discriminant analysis. With clear explanations, a multitude of figures, and exercise sets in each chapter, this text forms an outstanding entrée into the rapidly expanding world of genetic data analysis.
  • Table of Contents

    BACKGROUND TO MODERN STATISTICAL GENETICS
    Introduction: Where is the Gene?
    Function of Genes in Reproduction
    Some Facts in Molecular Genetics
    Tools in Molecular Genetics
    Genetic Engineering
    Exercise 1
    LINKAGE ANALYSIS WITH QUALITATIVE TRAIT
    Basic Concepts in Pedigree Analysis
    Linkage analysis for Large Pedigrees
    Incomplete Penetrance and Sibling Studies
    Designs in Linkage Analysis
    Exercise 2
    GENETICS OF QUANTITATIVE TRAIT
    Quantitative Trait Locus (QTL) Based on Sibpairs
    Interval Mapping of Quantitative Trait Loci
    Heritability Estimation
    Breeding Value Evaluation Models
    Exercise 3
    SPECIAL TOPICS
    Small Area Gene Mapping by Linkage Disequilibrium
    Gene, Exon, and Intron Identification
    Reconstruction of Evolutionary Path
    Forensic Evidence Using Genetic Markers
    Exercise 4
    APPENDIX A: STATISTICAL RESULTS USEFUL IN GENETICS
    Multivariate Analysis and Regression
    Likelihood Ratio Test and General Linear Models
    Multinomial Distribution
    Inference on Frequency Tables
    Discriminant Analysis and Neural Network
    APPENDIX B: SELECTED PUBLIC DOMAIN COMPUTER PROGRAMS FOR GENETIC DATA ANALYSIS
    A Teaching Linkage Analysis Program for Two Generation Families
    A Simulation Program to Computer ELOD and Var(LOD) for Two Generation Families
    Liped and Programs Described in Terwilliger and Ott's Handbook
    Simlink - Power Prediction for Given Pedigress
    SIB-PAIR; A Nonparametric Linkage Software
    MAPMAKER/SIBS, MAPMAKER/QTL, Genehunter, GAS
    A SAS Program to Computer Kinships Coefficients
    Using SAS-IML to Solve Handerson's Equation
    ETDT
    GeneBank and Genetic Data Sources

    Answers or Hints to Exercises
    Bibliography

    ...
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    Author(s)

    Biography

    Yang, M.C.