Main description:

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.

Contents:

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

Jeremie 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, Noemi 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