Biostatistical Genetics and Genetic Epidemiology
Robert C. Elston, Jane M. Olson, Lyle Palmer
John Wiley & Sons, Apr 22, 2002 - Mathematics - 831 pages
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.
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Hidden Markov Models
Human Genome Project
Linkage Analysis ModelBased
CaseOnly Gene Mapping
Family History Validation
FamilyBased CaseControl Studies
Gene Frequency Estimation
General Linear Model
Generalized Linear Model
Generalized Maximum Likelihood
Loss of Heterozygosity
Pedigrees Sequential Sampling
Segregation Analysis Classical
Sex Ratio at Birth
Other editions - View all
algorithm allele frequencies American Journal Annals applications approach approximation ascertainment assumed assumption asymptotic bias biological Biometrics Biometrika bootstrap case-cohort case-control studies cell chromosome coefficient cohort study complex components compute conditional confounding controls correlation covariates defined denote detect disease effects Elston error esti example exposure factors function gene Genetic Epidemiology genome genotype Gibbs sampling given haplotype Human Genetics independent individuals inference inheritance interaction interval Journal of Human likelihood ratio linear model linkage analysis linkage disequilibrium loci locus lod score logistic regression mapping marginal marker Markov chain matching mating matrix measure methods Molecular Monte Carlo multiple multivariate mutation normal distribution null hypothesis observed odds ratio pairs parameters parents pedigree phenotype polymorphisms population probability problem procedure quantitative trait random recombination fraction References regression model Research residuals sample segregation analysis sequence sibships specific tion variables variance vector