Genetic Dissection of Complex Traits

Genetic Dissection of Complex Traits

by Elsevier Science
     
 

ISBN-10: 0120176424

ISBN-13: 9780120176427

Pub. Date: 10/01/2000

Publisher: Elsevier Science

Genetic Dissection of Complex Traits will present the full range of methodologies that are essential for understanding the basis of human genetic disorders, the origin of such diseases, and theories on how to determine one's genetic predisposition to certain genetic diseases.  See more details below

Overview

Genetic Dissection of Complex Traits will present the full range of methodologies that are essential for understanding the basis of human genetic disorders, the origin of such diseases, and theories on how to determine one's genetic predisposition to certain genetic diseases.

Product Details

ISBN-13:
9780120176427
Publisher:
Elsevier Science
Publication date:
10/01/2000
Series:
Advances in Genetics Series
Pages:
608
Product dimensions:
1.50(w) x 6.00(h) x 9.00(d)

Table of Contents

Contributors.
Preface.
Acknowledgments.
NEWTON MORTON'S CONTRIBUTIONS
Newton Morton: The Wisconsin Years.
Newton Morton's Influence on Genetics: The Morton Number.
OVERVIEW AND PRELIMINARIES
Genetic Dissection of Complex Traits: An Overview.
Familial Resemblance and Heritability.
Linkage and Association: Basic Concepts.
PHENOTYPES AND GENOTYPES
Definition of the Phenotype.
Genotyping for Human Whole-Genome Scans: Past, Present, and Future.
MODEL-BASED METHODS FOR LINKAGE ANALYSIS
The Lod Score Method.
Extension of the Lod Score: The Mod Score.
Major Strengths and Weaknesses of the Lod Score Method.
MODEL-FREE METHODS FOR LINKAGE AND ASSOCIATION ANALYSIS
Overview of Model-free Methods for Linkage Analysis.
Variance Component Methods for Detecting Complex Trait Loci.
Linkage and Association with Structural Relationships.
The Future of Genetic Case-Control Studies.
Cost of Linkage versus Association Methods.
Genotype-Environment Interaction in Transmission Disequilibrium Tests.
Major Strengths and Weaknesses of Model-free Methods.
MORE RECENT METHODS
Meta-analysis for Model-free Methods.
Classification Methods for Confronting Heterogeneity.
Applications of Neural Networks for Gene Finding.
Genome Partitioning and Whole-Genome Analysis.
Deciphering the Genetic Architecture of a Multivariate Phenotype.
OPTIMUM STRATEGIES
On the Resolution and Feasibility of Genome Scanning Approaches.
One-Stage versus Two-Stage Strategies for Genome Scans.
MULTIPLE COMPARISONS AND SIGNIFICANCE LEVELS
Significance Levels in Genome Scans.
False Positives and False Negatives in Genome Scans.
Sequential Methods of Analysis for Genome Scans.
CHALLENGES FOR THE NEW MILLENNIUM
From Genetics to Mechanism of Disease Liability.
Complex Inheritance: The 21st Century.
Appendix: Research Contributions of Newton E. Morton.
Index.

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