Genetic dissection of complex traits.

Colaborador(es):

Rao, D. C. (Dabeeru C.)

Series Advances in genetics ; 60Detalles de publicación: London Academic 2008.Edición: 2nd ed. edited by D.C. RaoDescripción: 760 p. ill. 23 cmISBN:

9780123738837 (hbk.)
0123738830 (hbk.)

Tema(s):

Clasificación CDD:

616.042 22

Contenidos:

1. An overview of the genetic dissection of complex traits D. C. Rao -- 2. Familial resemblance and heritability Treva K. Rice -- 3. Linkage and association: basic concepts Ingrid B. Borecki and Michael A. Province -- 4. Definition of phenotype Mary K. Wojczynski and Hemant K. Tiwari -- 5. Genotyping platforms for mass-throughput genotyping with SNPs, including human genome-wide scans / Karen Maresso and Ulrich Broeckel -- 6. Genotyping errors and their impact on genetic analysis Michael B. Miller, Karen Schwander, and D. C. Rhao -- 7. Model-based methods for linkage analysis John P. Rice, Nancy L. Saccone, and Jonathan Corbett -- 8. Contemporary model-free methods for linkage analysis Laura Almasy and John Blangero -- 9. DNA sequence-based phenotypic association analysis Nicholas J. Schork, Jennifer Wessel, and Nathalie Malo --

10. Family-based methods for linkage and association analysis Nan M. Laird and Christoph Lange -- 11. Searching for additional disease loci in a genomic region Glenys Thomson, Lisa F. Barcellos, and Ana M. Valdes -- 12. Methods for handling multiple testing Treva K. Rice, Nicholas J. Schork, and D. C. Rao -- 13. Meta-analysis methods Thomas A. Trikalinos, Georgia Salanti, Eias Zintzaras, and John P. A. Ioannidis -- 14. Haplotype-association analysis Nianjun Liu, Kui Zhang, and Hongyu Zhao -- 15. Characterization LD structures and the utility of HapMap in genetic association studies C. Charles Gu, Kai Yu, and D. C. Rao -- 16. Associations among multiple markers and complex disease: models, algorithms, and applications Themistocles L. Assimes, Adam B. Olshen, Balasubramanian Narasimhan, and Richard A. Olshen --

17. Study designs for genome-wide association studies Peter Kraft and David G. Cox -- 18. Ethical, legal, and social implications of biobanks for genetics research Susanne B. Haga and Laura M. Beskow -- 19. Admixture mapping and the role of population structure for localizing disease genes Xiaofeng Zhu, Hua Tang, and Neil Risch -- 20. Integrating global gene expression analysis and genetics Clarles R. Farber and Aldons J. Lusis -- 21. A systems biology approach to drug discovery Jun Zhu, Bin Zhang, and Eric E. Schadt -- 22. The promise of composite likelihood methods for addressing computationally intensive challenges Na Li -- 23 Comparative genomics for detecting human disease genes Carol Moreno, Jozef Lazar, Howard J. Jacob, and Anne E. Kwitek -- 24. From genetics to mechanism of disease liability Andreas Rohrwasser, Paul Lott, Robert B. Weiss, and Jean-Marc Lalouel -- 25. Into the Post-HapMap era Newton E. Morton.

Existencias
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	Referencia	Biblioteca Encarnación Valdés Sala de Referencia bev				575.1 A244 (Navegar estantería(Abre debajo))				v.60	Disponible			80000002347071

Total de reservas: 0

Descripciones mejoradas de Syndetics:

The field of genetics is rapidly evolving and new medical breakthroughs are occuring as a result of advances in knowledge of genetics. This series continually publishes important reviews of the broadest interest to geneticists and their colleagues in affiliated disciplines.

Previous ed.: 2001.

Tabla de contenidos provista por Syndetics

Contributors(p. xv)
Preface to First Edition(p. xxi)
Preface to Second Edition(p. xxv)
Acknowledgments(p. xxvii)
Part I Overview and Fundamentals(p. 1)
1 An Overview of the Genetic Dissection of Complex Traits(p. 3)
I Introduction(p. 4)
II Challenges Arising From Complex Traits(p. 7)
III Study Design(p. 9)
IV Analytical Methods(p. 12)
V Special Topics(p. 19)
VI GWA Studies(p. 22)
VII Efficient Strategies for Enhancing Gene Discovery(p. 25)
VIII Discussion(p. 28)
References(p. 30)
2 Familial Resemblance and Heritability(p. 35)
I Introduction(p. 36)
II Familial Resemblance and Heritability(p. 38)
III Study Designs and Multifactorial Models(p. 41)
IV Discussion(p. 46)
References(p. 47)
3 Linkage and Association: Basic Concepts(p. 51)
I Introduction(p. 52)
II Historical Perspective(p. 54)
III Fundamentals and Methods(p. 55)
IV Seven Stages of Relationship With GW Studies(p. 64)
V Contemporary Approaches(p. 66)
VI Challenges and Issues(p. 69)
References(p. 70)
4 Definition of Phenotype(p. 75)
I Introduction(p. 76)
II Phenotype Choices/Options(p. 78)
III Study Design Issues(p. 92)
IV Discussion(p. 99)
References(p. 100)
5 Genotyping Platforms for Mass-Throughput Genotyping with SNPs, Including Human Genome-Wide Scans(p. 107)
I Introduction: Explosive Need for Mass-Throughput Genotyping(p. 108)
II Microsatellites Versus SNPs(p. 110)
III Genotyping Platforms and Goals(p. 115)
IV Selection of Markers and SNPs(p. 126)
V Novel Markers(p. 130)
VI Future Prospects(p. 133)
VII Conclusions(p. 135)
References(p. 136)
6 Genotyping Errors and Their Impact on Genetic Analysis(p. 141)
I Introduction(p. 142)
II Misspecification of Genetic Relationships(p. 143)
III Detection and Correction of Misspecification of Relationships(p. 144)
IV Genotype Misclassification(p. 147)
V Conclusion(p. 151)
References(p. 151)
Part II Linkage and Association Analysis(p. 153)
7 Model-Based Methods for Linkage Analysis(p. 155)
I Introduction(p. 156)
II The Generalized Single Major Locus Model Description(p. 156)
III The Lod Score(p. 157)
IV The Mod Score Method(p. 165)
V The Lod Score and Meta-Analysis(p. 166)
VI Multilocus Models(p. 168)
VII Strengths and Weaknesses of Model-Based Methods(p. 170)
VIII Discussion(p. 170)
References(p. 171)
8 Contemporary Model-Free Methods for Linkage Analysis(p. 175)
I Introduction(p. 176)
II Identity by Descent and Identity by State(p. 177)
III Relative Pair Linkage Methods(p. 180)
IV Variance Components Linkage Methods(p. 184)
V Strengths and Weaknesses of Model-Free Linkage Methods(p. 187)
VI Conclusion(p. 189)
References(p. 189)
9 DNA Sequence-Based Phenotypic Association Analysis(p. 195)
I Introduction(p. 196)
II Multivariate Distance Matrix Regression(p. 202)
III Simulation Studies(p. 206)
IV Results(p. 209)
V Discussion(p. 213)
References(p. 215)
10 Family-Based Methods for Linkage and Association Analysis(p. 219)
I Introduction(p. 220)
II Analysis Methods: FBAT and PBAT(p. 228)
III Other Approaches to Family-Based Analyses, Including the PDT and the QTDT(p. 240)
IV Software(p. 246)
V Discussion(p. 246)
References(p. 248)
11 Searching for Additional Disease Loci in a Genomic Region(p. 253)
I Introduction(p. 254)
II Primary Disease-Predisposing Genes and Their Genetic Features(p. 261)
III Detecting Additional Genes in a Genetic Region(p. 271)
IV Discussion(p. 283)
References(p. 285)
12 Methods for Handling Multiple Testing(p. 293)
I Introduction(p. 294)
II Types of Errors in Hypothesis Testing (Type I and Type II)(p. 296)
III Striking a Balance Between False Positives and False Negatives(p. 298)
IV Alternative Adjustment Methods(p. 299)
V Conclusion(p. 305)
References(p. 305)
Part III Special Topics(p. 309)
13 Meta-Analysis Methods(p. 311)
I Introduction(p. 312)
II Meta-Analysis of Population-Based Association Studies(p. 313)
III Meta-Analysis of Linkage Studies(p. 319)
IV Special Issues(p. 324)
References(p. 329)
14 Haplotype-Association Analysis(p. 335)
I Introduction(p. 336)
II Haplotype Inference From Unrelated Individuals(p. 337)
III Haplotype Inference From Pedigrees(p. 349)
IV Population-Based Haplotype-Association Methods(p. 362)
V Family-Based Association Methods Using Haplotypes(p. 376)
VI Discussion(p. 391)
References(p. 393)
15 Characterization of LD Structures and the Utility of HapMap in Genetic Association Studies(p. 407)
I Introduction(p. 408)
II Haplotype Similarity in Candidate Genes and LD Mapping(p. 409)
III Global Organization of LD Structures(p. 414)
IV Variation of Local LD Structures(p. 420)
V Discussion(p. 425)
References(p. 430)
16 Associations Among Multiple Markers and Complex Disease: Models, Algorithms, and Applications(p. 437)
I Introduction(p. 438)
II A Model for "Diplotypes"(p. 441)
III Strand-Specific Inference in the Absence of Randomness in p(p. 446)
IV Haploview and Our View(p. 447)
V Approaches to Two-Class Association/Classification(p. 454)
VI Restrictions on Probabilities Entailed by Hardy-Weinberg Equilibrium(p. 459)
VII Discussion and Summary(p. 460)
References(p. 462)
17 Study Designs for Genome-Wide Association Studies(p. 465)
I Introduction(p. 466)
II Basic Principles of Association Design(p. 471)
III The Genetic Architecture of Complex Traits(p. 480)
IV Genotyping Technologies(p. 482)
V Power Calculations for Multistage Design(p. 485)
VI Discussion(p. 493)
References(p. 495)
18 Ethical, Legal, and Social Implications of Biobanks for Genetics Research(p. 505)
I Introduction(p. 506)
II Governance of Biobanks(p. 507)
III Risks and Benefits(p. 512)
IV Recruitment of Vulnerable and Minority Populations(p. 516)
V Informed Consent(p. 518)
VI Storage of Genetic Information-Optimizing Privacy(p. 522)
VII Biospecimen/Data Access(p. 524)
VIII Ownership and Intellectual Property(p. 525)
IX Disclosure of Research Results(p. 527)
X Commercialization of Biobanks(p. 536)
XI Conclusion(p. 538)
References(p. 539)
Part IV Promising Topics(p. 545)
19 Admixture Mapping and the Role of Population Structure for Localizing Disease Genes(p. 547)
I Introduction(p. 548)
II Population Genetic Structure in Humans(p. 549)
III Population Admixture(p. 550)
IV Methods of Admixture Mapping(p. 551)
V Design Consideration(p. 561)
VI Prospects and Concerns of Admixture Mapping(p. 563)
VII Conclusions(p. 565)
References(p. 566)
20 Integrating Global Gene Expression Analysis and Genetics(p. 571)
I Introduction(p. 572)
II Technical and Experimental Design Issues for Microarrays(p. 575)
III Identifying Disease Candidates Using DNA Microarrays(p. 582)
IV Integration of Genetics and Genomics(p. 586)
V Conclusions(p. 596)
References(p. 597)
21 A Systems Biology Approach to Drug Discovery(p. 603)
I Introduction(p. 604)
II Causal Inference: An Integrated Approach to Drug Discovery(p. 606)
III Coexpression Networks(p. 612)
IV Probabilistic Causal Networks: Bayesian Networks as a Framework for Data Integration(p. 617)
V An Insightful Example: Integrating Data Leads to the Identification of Gene Affecting Plasma Cholesterol Levels(p. 625)
VI Conclusions(p. 628)
References(p. 630)
22 The Promise of Composite Likelihood Methods for Addressing Computationally Intensive Challenges(p. 637)
I Introduction(p. 638)
II Composite Likelihood Methods(p. 638)
III Applications in Population Genetics(p. 641)
IV Applications in Fine Mapping of Disease Mutations(p. 643)
V Other Applications(p. 649)
VI Prospectives and Discussion(p. 650)
References(p. 652)
23 Comparative Genomics for Detecting Human Disease Genes(p. 655)
I Introduction(p. 656)
II The Power and Promise of Comparative Genomics(p. 659)
III Animal Models for Human Disease(p. 665)
IV Comparative Genomics and Building Better Animal Models(p. 676)
V Discussion(p. 681)
References(p. 683)
Part V Outstanding Challenges(p. 699)
24 From Genetics to Mechanism of Disease Liability(p. 701)
I Introduction(p. 702)
II Identification of QTL by Statistical Analysis(p. 703)
III A Strong QTL For Sodium Sensitivity in the C57BL/6J Mouse Inbred Line(p. 707)
IV From QTL to Genes: Gene Prioritization(p. 713)
V From QTL to Genes: High-Throughput Functional Screens(p. 721)
VI Perspective(p. 723)
References(p. 723)
25 Into the Post-HapMap Era(p. 727)
I Introduction(p. 728)
II Linkage Mapping and Cytogenetic Assignment(p. 729)
III Association Mapping and Functional Assignment(p. 730)
IV Fully Parametric Analysis(p. 732)
V Meta-Analysis(p. 732)
VI Analysis of msSNPs(p. 733)
VII The False Discovery Rate(p. 734)
VIII Early-HapMap Projects(p. 735)
IX Genome-Wide Association Scans(p. 737)
X What Next?(p. 738)
References(p. 740)
Index(p. 743)

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