| Description |
1 online resource (xxi, 435 pages) : illustrations |
| 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 |
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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 |
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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 |
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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 |
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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 |
| Summary |
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 a trait runs in families, testing hypotheses about whether a familial tendency is due to genetic or environmental factors or both, estimating the parameters of a genetic model, localizing and ultimately isolating the responsible genes, and finally characterizing their effects on the population. Examples from the literature on the genetic epidemiology of breast and colorectal cancer, among other diseases, illustrate this process. Although the book is oriented primarily towards graduate students in epidemiology, biostatistics and human genetics, it will also serve as a comprehensive reference work for researchers. Introductory chapters on molecular biology, Mendelian genetics, epidemiology, statistics, and population genetics will help make the book accessible to those coming from one of these fields without a background in the others.; It strikes a good balance between epidemiologic study designs and statistical methods of data analysis |
| Bibliography |
Includes bibliographical references (pages 387-427) and index |
| Notes |
English |
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Print version record |
| Subject |
Genetic epidemiology -- Statistical methods
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Epidemiology.
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Molecular epidemiology.
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Statistics -- methods
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Epidemiology
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Statistics as Topic -- methods
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Genetics
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Molecular Epidemiology
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HEALTH & FITNESS -- Diseases -- Genetic.
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MEDICAL -- Genetics.
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Epidemiology
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Molecular epidemiology
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Genetica.
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Epidemiologie.
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Statistische methoden.
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| Form |
Electronic book
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| ISBN |
9780199748051 |
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0199748055 |
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1280845309 |
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9781280845307 |
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1429420642 |
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9781429420648 |
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9786610845309 |
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6610845301 |
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