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Over the last two decades advances in genotyping technology, and the development of quantitative genetic analytical techniques have made it possible to dissect complex traits and link quantitative variation in traits to allelic variation on chromosomes or quantitative trait loci (QTLs). In Quantitative Trait Loci (QTLs):Methods and Protocols, expert researchers in the field detail methods and techniques that focus on specific components of the entire process of quantitative train loci experiments. These include methods and techniques for the mapping populations, identifying quantitative trait loci, extending the power of quantitative trait locus analysis, and case studies. Written in the highly successful Methods in Molecular Biology¿ series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Quantitative Trait Loci (QTLs):Methods and Protocols aids scientists in the further study of the links between phenotypic and genotypic variation in fields from medicine to agriculture, from molecular biology to evolution to ecology.
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InhaltsangabePart I. Setting Up Mapping Populations 1. Backcross Populations and Near Isogenic LinesRik Kooke, Erik Wijnker and Joost. J.B. Keurentjes 2. F2 Designs for QTL AnalysisYuan-Ming Zhang 3. Design and Construction of Recombinant Inbred LinesDaniel A. Pollard 4. Two Flavors of Bulk Segregant Analysis in YeastMaitreya J. Dunham 5. Selecting Markers and Evaluating CoverageMatthew A. Cleveland and Nader Deeb Part II. Identifying Quantitative Trait Loci 6. Composite Interval Mapping and Multiple Interval Mapping: Procedures and Guidelines for Using Windows QTL CartographerLuciano Da Costa E Silva, Shengchu Wang, and Zhao-Bang Zen 7. Design Database for Quantitative Trait Loci (QTL) Data Warehouse, Data Mining and Meta AnalysisZhi-Liang Hu, James M Reecy and Xiao-Lin Wu 8. Meta-Analysis of QTL Mapping ExperimentsXiao-Lin Wu and Zhi-Liang Hu Part III. Extending the Power of Quantitative Train Locus Analysis 9. Using eQTLs to Reconstruct Gene Regulatory NetworksLin S. Chen 10. Estimation and Interpretation of Genetic Effects with Epistasis using the NOIA ModelJosé M Álvarez-Castro, Örjan Carlborg and Lars Rönnegård 11. Identifying QTL for Multiple Complex Traits in Experimental Crosses Samprit Banerjee and Nengjun Yi 12. Functional Mapping of Developmental Processes: Theory, Applications and ProspectsKiranmoy Das, Zhongwen Huang, Jingyuan Liu, Guifang Fu, Jiahan Li, Yao Li, Chunfa Tong, Junyi Gai and Rongling Wu 13. Statistical Models for Genetic Mapping in Polyploids: Challenges and OpportunitiesJiahan Li, Kiranmoy Das, Guifang Fu, Yao Li, Christian Tobias and Rongling Wu Part IV. Case Studies 14. eQTL Lun Li, Xianghua Zhang and Hongyu Zhao 15. Genetic Mapping of Quantitative Trait Loci for Disease-Related Phenotyples Marcella Devoto and Mario Falchi 16. Quantitative Trait Locus Analysis in Haplodiploid HymenopteraJürgen Gadau, Christof Pietsch, Leo W Beukeboom
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InhaltsangabePart I. Setting Up Mapping Populations 1. Backcross Populations and Near Isogenic LinesRik Kooke, Erik Wijnker and Joost. J.B. Keurentjes 2. F2 Designs for QTL AnalysisYuan-Ming Zhang 3. Design and Construction of Recombinant Inbred LinesDaniel A. Pollard 4. Two Flavors of Bulk Segregant Analysis in YeastMaitreya J. Dunham 5. Selecting Markers and Evaluating CoverageMatthew A. Cleveland and Nader Deeb Part II. Identifying Quantitative Trait Loci 6. Composite Interval Mapping and Multiple Interval Mapping: Procedures and Guidelines for Using Windows QTL CartographerLuciano Da Costa E Silva, Shengchu Wang, and Zhao-Bang Zen 7. Design Database for Quantitative Trait Loci (QTL) Data Warehouse, Data Mining and Meta AnalysisZhi-Liang Hu, James M Reecy and Xiao-Lin Wu 8. Meta-Analysis of QTL Mapping ExperimentsXiao-Lin Wu and Zhi-Liang Hu Part III. Extending the Power of Quantitative Train Locus Analysis 9. Using eQTLs to Reconstruct Gene Regulatory NetworksLin S. Chen 10. Estimation and Interpretation of Genetic Effects with Epistasis using the NOIA ModelJosé M Álvarez-Castro, Örjan Carlborg and Lars Rönnegård 11. Identifying QTL for Multiple Complex Traits in Experimental Crosses Samprit Banerjee and Nengjun Yi 12. Functional Mapping of Developmental Processes: Theory, Applications and ProspectsKiranmoy Das, Zhongwen Huang, Jingyuan Liu, Guifang Fu, Jiahan Li, Yao Li, Chunfa Tong, Junyi Gai and Rongling Wu 13. Statistical Models for Genetic Mapping in Polyploids: Challenges and OpportunitiesJiahan Li, Kiranmoy Das, Guifang Fu, Yao Li, Christian Tobias and Rongling Wu Part IV. Case Studies 14. eQTL Lun Li, Xianghua Zhang and Hongyu Zhao 15. Genetic Mapping of Quantitative Trait Loci for Disease-Related Phenotyples Marcella Devoto and Mario Falchi 16. Quantitative Trait Locus Analysis in Haplodiploid HymenopteraJürgen Gadau, Christof Pietsch, Leo W Beukeboom
Over the last two decades advances in genotyping technology, and the development of quantitative genetic analytical techniques have made it possible to dissect complex traits and link quantitative variation in traits to allelic variation on chromosomes or quantitative trait loci (QTLs). In Quantitative Trait Loci (QTLs):Methods and Protocols, expert researchers in the field detail methods and techniques that focus on specific components of the entire process of quantitative train loci experiments. These include methods and techniques for the mapping populations, identifying quantitative trait loci, extending the power of quantitative trait locus analysis, and case studies. Written in the highly successful Methods in Molecular Biology¿ series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Quantitative Trait Loci (QTLs):Methods and Protocols aids scientists in the further study of the links between phenotypic and genotypic variation in fields from medicine to agriculture, from molecular biology to evolution to ecology.
