Genetics and Analysis of Quantitative Traits
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Genetics and Analysis of Quantitative Traits
Foundations
Visscher, Prof Peter M.; Walsh, Prof Bruce; Lynch, Prof Michael
Oxford University Press
08/2025
1184
Dura
Inglês
9780192898180
15 a 20 dias
Descrição não disponível.
Preface
I. Foundations of Quantitative Genetics
1: An overview of quantitative genetics
2: Properties of distributions
3: Covariance, regression, and correlation
4: Properties of single loci
5: Sources of genetic variation for multilocus traits
6: Sources of environmental variation
7: Resemblance between relatives
8: Marker-based estimation of relatedness
9: Introduction to linear models and matrix algebra
10: Linear and mixed models
11: Analysis of line crosses
12: Inbreeding depression
13: Heterosis and outbreeding depression
14: Matters of scale
II. Quantiative trait loci
15: Polygenes and polygenic mutation
16: Detecting major genes
17: Principles of marker-based mapping
18: Linkage mapping and characterizing QTLS: inbred line crosses
19: Linkage mapping and characterizing QTLS: outbred populations of relatives
20: Association mapping
21: Quantitative genomics and probing the nature of quantitative genetic variation
III. Appendices
A1: Expectations, variances, and covariances of compound variables
A2: Path, network, and causality analysis
A3: Further topics in matrix algebra and linear models
A4: Maximum likelihood estimation and likelihood-ratio tests
A5: Computing the power of statistical tests
A6: Multiple comparisons: bonferroni corrections, false-discovery rates, and meta-analysis
A7: Introduction to bayesian analysis
A8: Markov chain monte carlo and gibbs sampling
A9: Experimental Design
I. Foundations of Quantitative Genetics
1: An overview of quantitative genetics
2: Properties of distributions
3: Covariance, regression, and correlation
4: Properties of single loci
5: Sources of genetic variation for multilocus traits
6: Sources of environmental variation
7: Resemblance between relatives
8: Marker-based estimation of relatedness
9: Introduction to linear models and matrix algebra
10: Linear and mixed models
11: Analysis of line crosses
12: Inbreeding depression
13: Heterosis and outbreeding depression
14: Matters of scale
II. Quantiative trait loci
15: Polygenes and polygenic mutation
16: Detecting major genes
17: Principles of marker-based mapping
18: Linkage mapping and characterizing QTLS: inbred line crosses
19: Linkage mapping and characterizing QTLS: outbred populations of relatives
20: Association mapping
21: Quantitative genomics and probing the nature of quantitative genetic variation
III. Appendices
A1: Expectations, variances, and covariances of compound variables
A2: Path, network, and causality analysis
A3: Further topics in matrix algebra and linear models
A4: Maximum likelihood estimation and likelihood-ratio tests
A5: Computing the power of statistical tests
A6: Multiple comparisons: bonferroni corrections, false-discovery rates, and meta-analysis
A7: Introduction to bayesian analysis
A8: Markov chain monte carlo and gibbs sampling
A9: Experimental Design
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Preface
I. Foundations of Quantitative Genetics
1: An overview of quantitative genetics
2: Properties of distributions
3: Covariance, regression, and correlation
4: Properties of single loci
5: Sources of genetic variation for multilocus traits
6: Sources of environmental variation
7: Resemblance between relatives
8: Marker-based estimation of relatedness
9: Introduction to linear models and matrix algebra
10: Linear and mixed models
11: Analysis of line crosses
12: Inbreeding depression
13: Heterosis and outbreeding depression
14: Matters of scale
II. Quantiative trait loci
15: Polygenes and polygenic mutation
16: Detecting major genes
17: Principles of marker-based mapping
18: Linkage mapping and characterizing QTLS: inbred line crosses
19: Linkage mapping and characterizing QTLS: outbred populations of relatives
20: Association mapping
21: Quantitative genomics and probing the nature of quantitative genetic variation
III. Appendices
A1: Expectations, variances, and covariances of compound variables
A2: Path, network, and causality analysis
A3: Further topics in matrix algebra and linear models
A4: Maximum likelihood estimation and likelihood-ratio tests
A5: Computing the power of statistical tests
A6: Multiple comparisons: bonferroni corrections, false-discovery rates, and meta-analysis
A7: Introduction to bayesian analysis
A8: Markov chain monte carlo and gibbs sampling
A9: Experimental Design
I. Foundations of Quantitative Genetics
1: An overview of quantitative genetics
2: Properties of distributions
3: Covariance, regression, and correlation
4: Properties of single loci
5: Sources of genetic variation for multilocus traits
6: Sources of environmental variation
7: Resemblance between relatives
8: Marker-based estimation of relatedness
9: Introduction to linear models and matrix algebra
10: Linear and mixed models
11: Analysis of line crosses
12: Inbreeding depression
13: Heterosis and outbreeding depression
14: Matters of scale
II. Quantiative trait loci
15: Polygenes and polygenic mutation
16: Detecting major genes
17: Principles of marker-based mapping
18: Linkage mapping and characterizing QTLS: inbred line crosses
19: Linkage mapping and characterizing QTLS: outbred populations of relatives
20: Association mapping
21: Quantitative genomics and probing the nature of quantitative genetic variation
III. Appendices
A1: Expectations, variances, and covariances of compound variables
A2: Path, network, and causality analysis
A3: Further topics in matrix algebra and linear models
A4: Maximum likelihood estimation and likelihood-ratio tests
A5: Computing the power of statistical tests
A6: Multiple comparisons: bonferroni corrections, false-discovery rates, and meta-analysis
A7: Introduction to bayesian analysis
A8: Markov chain monte carlo and gibbs sampling
A9: Experimental Design
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
