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.
|
Includes cutting-edge methods and protocols
Provides step-by-step detail essential for reproducible results
Contains key notes and implementation advice from the experts
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
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.
Statistical Genetic Terminology.- Identification of Genotype Errors.- Detecting Pedigree Relationship Errors.- Identifying Cryptic Relationships.- Estimating Allele Frequencies.- Testing Departure from Hardy-Weinberg Proportions.- Estimating Disequilibrium Coefficients.- Detecting Familial Aggregation.- Estimating Heritability from Twin Studies.- Estimating Heritability from Nuclear Family and Pedigree Data.- Correcting for Ascertainment.- Segregation Analysis using the Unified Model.- Design Considerations for Genetic Linkage and Association Studies.- Model-based Linkage Analysis of a Quantitative Trait.- Model-based Linkage Analysis of a Binary Trait.- Model-free Linkage Analysis of a Quantitative Trait.- Model-free Linkage Analysis of a Binary Trait.- Single Marker Association Analysis for Unrelated Samples.- Single Marker Family-based Association Analysis Conditional on Parental Information.- Single Marker Family-based Association Analysis not Conditional on Parental Information.- Calibrating Population Stratification in Association Analysis.- Cross-phenotype Association Analysis using Summary Statistics from GWAS.- Haplotype Inference.- Multi-SNP Haplotype Analysis Methods for Association Analysis.- The Analysis of Ethnic Mixtures.- Detecting Multiethnic Rare Variants.- Identifying Gene Interaction Networks.- Structural Equation Modeling.- Mendelian Randomization.- Preprocessing and Quality Control for Whole Genome Sequences from the Illumina HiSeq X Platform.- Statistical Approaches for Processing and Analyzing Microbiome Data.
Inhaltsverzeichnis
Statistical Genetic Terminology.- Identification of Genotype Errors.- Detecting Pedigree Relationship Errors.- Identifying Cryptic Relationships.- Estimating Allele Frequencies.- Testing Departure from Hardy-Weinberg Proportions.- Estimating Disequilibrium Coefficients.- Detecting Familial Aggregation.- Estimating Heritability from Twin Studies.- Estimating Heritability from Nuclear Family and Pedigree Data.- Correcting for Ascertainment.- Segregation Analysis using the Unified Model.- Design Considerations for Genetic Linkage and Association Studies.- Model-based Linkage Analysis of a Quantitative Trait.- Model-based Linkage Analysis of a Binary Trait.- Model-free Linkage Analysis of a Quantitative Trait.- Model-free Linkage Analysis of a Binary Trait.- Single Marker Association Analysis for Unrelated Samples.- Single Marker Family-based Association Analysis Conditional on Parental Information.- Single Marker Family-based Association Analysis not Conditional on Parental Information.- Calibrating Population Stratification in Association Analysis.- Cross-phenotype Association Analysis using Summary Statistics from GWAS.- Haplotype Inference.- Multi-SNP Haplotype Analysis Methods for Association Analysis.- The Analysis of Ethnic Mixtures.- Detecting Multiethnic Rare Variants.- Identifying Gene Interaction Networks.- Structural Equation Modeling.- Mendelian Randomization.- Preprocessing and Quality Control for Whole Genome Sequences from the Illumina HiSeq X Platform.- Statistical Approaches for Processing and Analyzing Microbiome Data.
Klappentext
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. n nThe 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.
Includes cutting-edge methods and protocols
Provides step-by-step detail essential for reproducible results
Contains key notes and implementation advice from the experts
