Epistasis: Methods and Protocols

ISBN-13: 9781493942756 / Angielski / Miękka / 2016 / 350 str.

Jason H. Moore; Scott M. Williams

Opis

This volume presents a valuable and readily reproducible collection of established and emerging techniques on modern genetic analyses. Chapters focus on statistical or data mining analyses, genetic architecture, the burden of multiple testing, genetic variance, measuring epistasis, multifactor dimensionality reduction, and ReliefF. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Epistasis: Methods and Protocols aids scientists in continuing to study elucidate epistasis in the context of modern data availability.

Spis treści

1. Long Term Selection Experiments: Epistasis and The Response To Selection

Charles Goodnight

 

2. Finding the Epistasis Needles in the Genome-Wide Haystack

Marylyn D. Ritchie

 

3. Biological Knowledge-Driven Analysis of Epistasis in Human GWAS with Application to Lipid Traits

Li Ma, Alon Keinan, and Andrew G. Clark

 

4. Epistasis for Quantitative Traits in Drosophila

Trudy F. C. Mackay

 

5. Epistasis In The Risk Of Human Neuropsychiatric Disease

Scott M Williams

 

6. On the Partitioning of Genetic Variance with Epistasis

José M Álvarez-Castro and Arnaud Le Rouzic

 

7. Measuring Gene Interactions

Thomas F. Hansen

 

8. Two Rules for the Detection and Quantification of Epistasis and other Interaction Effects

Günter P. Wagner

 

9. Direct Approach to Modeling Epistasis

Rong-Cai Yang

 

10. Capacitating Epistasis  - Detection and Role in the Genetic Architecture of Complex Traits

Mats E. Pettersson and Örjan Carlborg

11. Compositional Epistasis: An Epidemiologic Perspective

Etsuji Suzuki and Tyler J. VanderWeele

 

12. Identification Of Genome—Wide SNP—SNP and SNP—Clinical Boolean Interactions In Age—Related Macular Degeneration

Carlos Riveros, Renato Vimieiro, Elizabeth G. Holliday, Christopher Oldmeadow, Jie Jin Wang, Paul Mitchell, John Attia, Rodney J. Scott, and Pablo A. Moscato

 

13. Epistasis Analysis Using Information Theory
Jason H. Moore and Ting Hu

 

14. Genome-Wide Epistasis and Pleiotropy Characterized by the Bipartite Human Phenotype Network

Christian Darabos and  Jason H. Moore

 

15. Network Theory for Data-Driven Epistasis Networks

Caleb A. Lareau and B. A. McKinney

 

16. Epistasis Analysis Using Multifactor Dimensionality Reduction

Jason H. Moore and Peter C. Andrews

 

17. Epistasis Analysis Using ReliefF

Jason H. Moore

 

18. Epistasis Analysis Using Artificial Intelligence

Jason H. Moore and Doug P. Hill