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Statistical Human Genetics
Methods and Protocols, Methods in Molecular Biology 850
ISBN/EAN: 9781617795541
Umbreit-Nr.: 1282917
Sprache:
Englisch
Umfang: xi, 564 S.
Format in cm:
Einband:
gebundenes Buch
Erschienen am 04.02.2012
Auflage: 1/2012
- Zusatztext
- Recent advances in genetics over the last quarter of a century, especially in molecular techniques, have dramatically reduced the cost of determining genetic markers and hence opened up a field of research that is increasingly helping to detect, prevent and/or cure many diseases that afflict humans. In Statistical Human Genetics: Methods and Protocols expert researchers in the field describe statistical methods and computer programs in the detail necessary to make them more easily accessible to the beginner analyzing data. Written in the highly successful Methods in Molecular Biology series format, with examples of running the programs and interpreting the program outputs, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results from human genetic data collected in the laboratory. Thorough and as much as possible intuitive, Statistical Human Genetics: Methods and Protocols aids scientists in understanding the computer programs and analytical procedures they need to use.
- Kurztext
- Demonstrates methods in a wide variety of computer programsProvides step-by-step detail essential for reproducible resultsContains key notes and implementation advice from the experts
- Autorenportrait
- Inhaltsangabe1. Genetic terminology 2. Identification of genotype errors3. Detecting pedigree relationship errors 4. Identifying cryptic relationships 5. Estimating allele frequencies6. Testing departure from Hardy-Weinberg proportions 7. Estimating disequilibrium coefficients 8. Detecting familial aggregation 9. Estimating heritability from twin studies 10. Estimating heritability from nuclear family and pedigree data 11. Correcting for ascertainment12. Segregation analysis using the unified model 13. Design considerations for genetic linkage and association studies 14. Model-based linkage analysis of a quantitative trait 15. Model-based linkage analysis of a binary trait 16. Model-free linkage analysis of a quantitative trait 17. Model-free linkage analysis of a binary trait 18. Single marker association analysis for unrelated samples 19. Single marker family-based association analysis conditional on parental information 20. Single marker family-based association analysis not conditional on parental information 21. Allowing for population stratification in association analysis 22. Haplotype inference 23. Multi-SNP haplotype analysis methods for association analysis 24. Detecting rare variants 25. The analysis of ethnic mixtures 26. Identifying gene interaction networks 27. Structural equation modeling 28. Genotype calling for the Affymetrix platform 29. Genotype calling for the Illumina platform 30. Comparison of requirements and capabilities of major multipurpose software packages