Read more
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(TM) 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.
List of contents
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.-Allowing for Population Stratification in Association Analysis.-Haplotype Inference.-Multi-SNP Haplotype Analysis Methods for Association Analysis.-Detecting Rare Variants.-The Analysis of Ethnic Mixtures.-IDENTIFYING GENE INTERACTION NETWORKS.-Structural Equation Modeling.-Genotype Calling for the Affymetrix Platform.-Genotype Calling for the Illumina Platform.-Comparison of Requirements and Capabilities of Major Multipurpose Software Packages.
Summary
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.
