Biostatistical Genetics and Genetic Epidemiology

by Elston, Robert C.; Olson, Jane M.; Palmer, Lyle

• ISBN13: 9780471486312
• ISBN10: 0471486310
• Edition: 1st
• Format: Hardcover
• Copyright: 2002-04-22
• Publisher: WILEY
• More Book Details
• Purchase Benefits

Summary

Human Genetics concerns the study of genetic forces in man. By studying our genetic make-up we are able to understand more about our heritage and evolution. Some of the original, and most significant research in genetics centred around the study of the genetics of complex diseases - genetic epidemiology. This is the third in a highly successful series of books based on articles from the Encyclopedia of Biostatistics. This volume will be a timely and comprehensive reference, for a subject that has seen a recent explosion of interest following the completion of the first draft of the Human Genome Mapping Project. The editors have updated the articles from the Human Genetics section of the EoB, have adpated other articles to give them a genetic feel, and have included a number of newly commissioned articles to ensure the work is comprehensive and provides a self-contained reference.

Author Biography

Dr. Robert C. Elston is a statistical geneticist and distinguished professor emeritus at Case Western Reserve University. He was born in London, England. He is one of the eponyms of the Elston-Stewart algorithm. Jane M. Olson is the editor of Biostatistical Genetics and Genetic Epidemiology, published by Wiley.

Table of Contents

Admixture in Human Populations..

Admixture Mapping.

Adoption Studies.

Age-of-Onset Estimation.

Akaike's Criteria.

Alternative Hypothesis.

Anticipation.

Ascertainment.

Association.

Association, Measures of.

Assortative Mating.

Attributable Risk.

Bayes' Theorem.

Bias.

Bias in Case- Control Studies.

Bioinformatics.

Blood Groups.

Bonferroni Inequalities and Intervals.

Bootstrap Method.

Candidate Gene.

Carcinogenesis Models.

Case-Cohort.

Case-Control Study.

Case-Only Gene Mapping.

Causation.

Cladistic Analysis.

Cohort Studies.

Collinearity.

Commingling Analysis.

Comparative Genomic Hybridization.

Complex Diseases.

Confidence Intervals and Sets.

Confounder.

Confounding.

Consistent Estimator.

Controls.

Correlated Binary Data.

Correlation.

Covariate.

Cox Regression Model.

Cumulative Incidence.

Diagnostics.

Discriminant Analysis, Linear.

Disease-Marker Association.

DNA Sequences.

Dummy Variables.

Elston-Stewart Algorithm.

EM Algorithm.

Eugenics.

Exclusion Mapping.

Expectation.

Experiment-Wise Error Rate.

Familial Correlations.

Family History Validation.

Family-Based Association for Quantitative.

Traits.

Family-Based Case-Control Studies.

Fixed Effects.

Founder Effect.

Frailty.

Frequency Matching.

Gene.

Gene Conversion.

Gene Expression Analysis.

Gene Frequency Estimation.

Gene-Environment Interaction.

General Linear Model.

Generalized Estimating Equations.

Generalized Linear Model.

Generalized Maximum Likelihood.

Genetic Correlations and Covariances.

Genetic Counseling.

Genetic Distance.

Genetic Epidemiology.

Genetic Heterogeneity.

Genome-Wide Significance.

Genotype.

Genotyping and Error-Checking.

Goodness of Fit.

Haplotype Analysis.

Hardy-Weinberg Equilibrium.

Heritability.

Heterozygosity.

Hidden Markov Models.

Hierarchical Models.

HLA System.

Human Genetics, Overview.

Human Genome Project.

Identity Coefficients.

Importance Sampling.

Inbreeding.

Incidence Rate.

Incidence-Prevalence Relationships.

Incident Case.

Information.

Information Matrix.

Interaction.

Isolated Populations.

Kin-Cohort Studies.

Kurtosis.

Lambda Criterion, Wilks'.

Level of a Test .

Liability Model.

Likelihood.

Likelihood Ratio.

Likelihood Ratio Tests.

Linear Regression, Simple.

Linkage Analysis, Model-Based .

Linkage Analysis, Model-Free.

Linkage Disequilibrium.

Linkage Information Content.

Logistic Regression, Conditional.

Loss of Heterozygosity.

Map Functions.

Marginal Likelihood.

Marginal Models.

Markers.

Markov Chain Monte Carlo.

Markov Chains.

Matched Analysis.

Matching.

Maximum Likelihood.

McNemar Test.

Mendel's Laws.

Meta-analysis.

Mixed Model in Segregation Analysis.

Molecular Epidemiology.

Monte Carlo Methods.

Multilocus (Gene xGene) Interaction.

Multiple Comparisons.

Multiplicative Model.

Multipoint Linkage Analysis.

Multivariate Linkage Analysis.

Multivariate Normal Distribution.

Multivariate Normality, Tests of.

Mutation.

Neural Networks.

Null Hypothesis.

Odds Ratio.

Ornstein-Uhlenbeck Process.

Overmatching.

P Value.

Parental Effects.

Parsimony.

Partial Likelihood.

Paternity Testing.

Path Analysis.

Pedigrees, Sequential Sampling.

Penetrance.

Pharmacogenetics.

Polygenic Inheritance.

Polymorphism.

Polymorphism Information Content.

Population Genetics.

Population-Based Study.

Power Transformations.

Prediction.

Prevalence.

Principal Components Analysis.

Profile Likelihood.

Protecting Privacy in Genetic Studies.

Pseudo-Likelihood.

Radiation Hybrid Mapping.

Random Effects.

Regression.

Regressive Models.

Relationship Testing.

Relative Odds.

Relative Risk.

Residuals.

Response Variable.

Risk Ratios.

Segregation Analysis, Classical.

Segregation Analysis, Complex.

Segregation Ratios.

Selection Bias.

Sensitivity.

Sequence Analysis.

Sequential Linkage Analysis.

Sex Ratio at Birth.

Simulated Annealing.

Simulation.

Skewness.

Software for Genetic Epidemiology.

Specificity.

Statistical Forensics.

Stratification.

Transformations.

Transition Probabilities.

Twin Analysis.

Twin Concordance.

Twin Registers.

Two-Phase Sampling.

Unbiasedness.

Univariate Response.

Validity and Generalizability in Epidemiologic Studies.

Variance.

Variance Component Analysis.

X-linkage.

Zygosity Determination