Statistical Human Genetics: Methods and Protocols

ISBN-13: 9781493972739 / Angielski / Twarda / 2017 / 689 str.

Robert C. Elston

Opis

The aim of this volume is to make computer programs for analyzing human genetic data more easily accessible to the beginner.Statistical Human Genetics: Methods and Protocols, Second Edition provides updated and new chapters detailing genetic terms, analysis software, and how to interpret the program outputs.

Spis treści

1. Statistical Genetic Terminology

Robert Elston, Jaya Satagopan, and Shuying Sun

 

2. Identification of Genotype Errors

Jeffery O’Connell and Yin Yao

 

3. Detecting Pedigree Relationship Errors

Lei Sun

 

4. Identifying Cryptic Relationships

Lei Sun, Apostolos Dimitromanolakis, and Wei-Min Chen

 

5. Estimating Allele Frequencies

Indra Adrianto and Courtney Montgomery

 

6. Testing Departure from Hardy-Weinberg Proportions

Jian Wang and Sanjay Shete​

 

7. Estimating Disequilibrium Coefficients

Maren Vens and Andreas Ziegler

 

8. Detecting Familial Aggregation

Adam C. Naj and Terri H. Beaty

 

9. Estimating Heritability from Twin Studies

Katrina Grasby, Karin J.H. Verweij, Miriam A. Mosing, Brendan P. Zietsch, and Sarah E. Medland

 

10. Estimating Heritability from Nuclear Family and Pedigree Data

Murielle Bochud

 

11. Correcting for Ascertainment

Warren Ewens and Robert C. Elston

 

12. Segregation Analysis using the Unified Model

Xiangqing Sun

 

13. Design Considerations for Genetic Linkage and Association Studies

Jérémie Nsengimana and D Timothy Bishop

 

14. Model-based Linkage Analysis of a Quantitative Trait Yeunjoo E. Song, Sunah Song, and Audrey H. Schnell

 

15. Model-based Linkage Analysis of a Binary Trait

Rita M. Cantor

 

16. Model-free Linkage Analysis of a Quantitative Trait

Nathan J. Morris and Catherine M. Stein

 

17. Model-free Linkage Analysis of a Binary Trait

Wei Xu, Jin Ma, Celia M.T. Greenwood, Andrew D. Paterson, and Shelley B. Bull

 

18. Single Marker Association Analysis for Unrelated Samples

Gang Zheng_­, Ao Yuan, Qizhai Li, and Joseph L. Gastwirth

 

19. Single Marker Family-based Association Analysis Conditional on Parental Information

Ren-Hua Chung, Daniel D. Kinnamon, and Eden R. Martin

 

20. Single Marker Family-based Association Analysis not Conditional on Parental Information

Junghyun Namkung and Sungho Won

 

21. Calibrating Population Stratification in Association Analysis

Huaizhen Qin and Xiaofeng Zhu

 

22. Cross-phenotype Association Analysis using Summary Statistics from GWAS

Xiaoyin Li and Xiaofeng Zhu

 

23. Haplotype Inference
Sunah Song, Xin Li, and Jing Li

 

24. Multi-SNP Haplotype Analysis Methods for Association Analysis

Daniel O. Stram

 

25. The Analysis of Ethnic Mixtures

Xiaofeng Zhu and Heming Wang

 

26. Detecting Multiethnic Rare Variants

Weiwei Ouyang, Xiaofeng Zhu, and  Huaizhen Qin

 

27. Identifying Gene Interaction Networks

Danica Wiredja and Gurkan Bebek

 

28. Structural Equation Modeling

Catherine M. Stein, Nathan J. Morris, Noémi B. Hall, and Nora L. Nock

 

29. Mendelian Randomization

Sandeep Grover, Fabiola Del Greco M, Catherine M. Stein, and Andreas Ziegler

 

30. Preprocessing and Quality Control for Whole Genome Sequences from the Illumina HiSeq X Platform

Marvin N. Wright

 

31. Statistical Approaches for Processing and Analyzing Microbiome Data

Xuan Zhu, Jian Wang, Cielito Reyes-Gibby, and Sanjay Shete

 

Blurb

The aim of this volume is to make computer programs for analyzing human genetic data more easily accessible to the beginner.Statistical Human Genetics: Methods and Protocols, Second Edition provides updated and new chapters detailing genetic terms, analysis software, and how to interpret the program outputs. Written in the highly successful Methods in Molecular Biology series format, the chapters include introductions to their respective topics, step-by-step instructions, and tips on troubleshooting and avoiding known pitfalls. 

The purpose of Statistical Human Genetics: Methods and Protocols, Second Edition is to ensure successful and meaningful results in the fast-growing field of genetic epidemiology.