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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:

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 entrĂ©e into the rapidly expanding world of genetic data analysis.

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

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:

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 entrĂ©e into the rapidly expanding world of genetic data analysis.

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

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:

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 entrĂ©e into the rapidly expanding world of genetic data analysis.

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

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

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

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