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Statistical methods in genetic epidemiology / Duncan C. Thomas.

This well-organized and clearly written text has a unique focus on methods of identifying the joint effects of genes and environment on disease patterns. It follows the natural sequence of research, taking readers through the study designs and statistical analysis techniques for determining whether...

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Bibliographic Details
Online Access: Full Text (via ProQuest)
Main Author: Thomas, Duncan C.
Format: eBook
Language:English
Published: Oxford ; New York : Oxford University Press, 2004.
Subjects:
Genetic epidemiology > Statistical methods.
Epidemiology.
Molecular epidemiology.
Table of Contents:
  • SUMMARY OF COMMONLY USED NOTATION
  • 1. OVERVIEW OF GENETIC EPIDEMIOLOGY
  • The Process of Genetic Epidemiology
  • Descriptive Epidemiology and Hypothesis Generation
  • Familial Aggregation
  • Segregation Analysis
  • Linkage Analysis
  • Fine Mapping and Cloning
  • Candidate Gene Association Studies
  • Characterizing the Effects of Cloned Genes
  • Conclusions
  • 2. BASIC CONCEPTS OF MOLECULAR GENETICS
  • Chromosomes
  • Cell Division
  • Cell Cycle
  • Mitosis
  • Meiosis
  • Genetic Recombination
  • Meiotic Recombination
  • Mitotic Recombination
  • DNA
  • Gene Expression.
  • Transcription
  • RNA Processing
  • Translation
  • Post-Translational Modification
  • DNA Polymorphism
  • Conclusions
  • 3. PRINCIPLES OF MENDELIAN INHERITANCE
  • Basic Concepts
  • Mendelian Inheritance at a Single Locus
  • Classical Autosomal Dominant Inheritance
  • Classical Autosomal Recessive Inheritance
  • Classical X-Linked Inheritance
  • Multiallelic Loci
  • Mendelian Inheritance at Two Loci
  • Conclusions
  • 4. BASIC EPIDEMIOLOGIC AND STATISTICAL PRINCIPLES
  • Basic Probability Theory
  • Basic Epidemiologic Principles
  • Study Designs
  • Measures of Disease Frequency and Association.
  • Interpretation of Epidemiologic Associations
  • Maximum Likelihood
  • Generalized Estimating Equations
  • Markov Chain Monte Carlo Methods
  • Randomization Procedures
  • Conclusions
  • 5. FAMILIAL AGGREGATION
  • Genetic Relationships and Gene Identity
  • Formal Derivation of z and E
  • Familial Correlations of Continuous Phenotypes
  • Familial Risk of Disease
  • The Concept of Familial Risk
  • Design Principles
  • Analytical Approaches
  • Other Designs
  • Randomization Tests of Familial Clustering
  • Twin Studies
  • Adoption Studies
  • Approaches to Dependent Data
  • Genetic Models.
  • Regressive Models
  • Frailty Models
  • Generalized Estimating Equations
  • Conclusions
  • 6. SEGREGATION ANALYSIS
  • Design Issues
  • Ascertainment of Families
  • Sequential Sampling
  • Classical Methods for Sibships
  • Ascertainment Correction
  • Likelihood Methods for Pedigree Analysis
  • General Model
  • Polygenic and Mixed Models
  • Penetrance Models
  • The Elston-Stewart Peeling Algorithm
  • Hypothesis Testing
  • Alternative Methods
  • Gibbs Sampling
  • Generalized Estimating Equations
  • Applications to Breast Cancer
  • Conclusions
  • 7. LINKAGE ANALYSIS
  • Recombination and Map Functions.
  • Direct Counting Methods
  • Relative Pair Methods
  • Identity by State and by Descent
  • Affected Sib Pair Methods
  • Affected Relative Pair Methods
  • Sib Pair Methods for Quantitative Traits
  • Generalized Estimating Equation Methods
  • Lod Score Methods
  • Two-Point Linkage
  • Joint Segregation and Linkage Analysis and the Mod Score
  • Multipoint Linkage and Ordering Loci
  • Genome-Wide Scans
  • Genetic Heterogeneity
  • Gibbs Sampling Methods
  • Design Issues
  • Power and Sample Size
  • Selection Bias and Misspecification
  • Fine Mapping and Cloning of BRCA1
  • Conclusions.

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