
Genetic Dissection of Complex Traits
- 1st Edition, Volume 42 - October 4, 2000
- Imprint: Academic Press
- Editor: D. C. Rao
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 0 1 7 6 4 2 - 7
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 9 1 5 7 0 - 8
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 d… Read more

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Request a sales quoteGenetic 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.
Graduate students, scientists, and clinicians working in genetic research.
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.
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.
- Edition: 1
- Volume: 42
- Published: October 4, 2000
- Imprint: Academic Press
- Language: English
- Hardback ISBN: 9780120176427
- eBook ISBN: 9780080915708
DR
D. C. Rao
Affiliations and expertise
Washington University Medical School, Division of Biostatistics, St. Louis, Missouri, U.S.A.Read Genetic Dissection of Complex Traits on ScienceDirect