Background in Statistics; Introduction to Experimental Genetics; Fundamentals of Genetics: Inbreeding, Recombination, Random Mating, and Identity by Descent; Testing for Linkage with a Single Marker; Whole Genome Scans: The Significance Level; Statistical Power and Confidence Regions; Missing Data and Interval Mapping; Advanced Topics; Mapping Qualitative Traits in Humans Using Affected Sib Pairs; Admixture Mapping; Mapping Complex and Quantitative Traits with Data from Human Pedigrees; Association Studies; Inferring Haplotypes from Genotypes and Testing Association
Summary
"This book presents a unified discussion of the statistical concepts applied in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. The development involves elementary principles of probability and statistics, which are implemented by computational tools based on the R programming language to simulate genetic experiments and evaluate statistical analyses. The viewpoint reflects the modern approach of using anonymous DNA markers distributed throughout the genome to identify regions likely to contain genes of interest."--Jacket
Analysis
bioinformatics
populatiegenetica
population genetics
populatiedynamica
population dynamics
simulatiemodellen
simulation models
geneeskunde
medicine
biomedische wetenschappen
biomedicine
genexpressieanalyse
genomics
diergenetica
animal genetics
humane genetica
human genetics
levenswetenschappen
life sciences
toegepaste statistiek
applied statistics
Medicine (General)
Geneeskunde (algemeen)
Bibliography
Includes bibliographical references (pages 323-327)-and indexes
