Description

Book Synopsis

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.



Table of 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

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

Statistical Human Genetics Methods and Protocols 1666 Methods in Molecular Biology

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    A Hardback by Robert C. Elston

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      View other formats and editions of Statistical Human Genetics Methods and Protocols 1666 Methods in Molecular Biology by Robert C. Elston

      Publisher: Springer New York
      Publication Date: 10/4/2017 12:00:00 AM
      ISBN13: 9781493972739, 978-1493972739
      ISBN10: 1493972731

      Description

      Book Synopsis

      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.



      Table of 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

      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

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