Introduction to Statistical Methods in Modern Genetics: 1st Edition (Hardback) book cover

Introduction to Statistical Methods in Modern Genetics

1st Edition

By M.C. Yang

CRC Press

262 pages

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pub: 2000-02-23
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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

    About the Series

    Modern Analysis Series

    Learn more…

    Subject Categories

    BISAC Subject Codes/Headings:
    MAT029000
    MATHEMATICS / Probability & Statistics / General