Statistical Human Genetics

Methods and Protocols

AvRobert C. Elston

Häftad, Engelska, 2018

Del i serien Methods in Molecular Biology

1 205 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2018-08-14
Mått:178 x 254 x 38 mm
Vikt:1 301 g
Format:Häftad
Språk:Engelska
Serie:Methods in Molecular Biology
Antal sidor:689
Upplaga:2
Förlag:Humana Press Inc.
ISBN:9781493984381

Utforska kategorier

Medicinsk genetik inom Medicin

Innehållsförteckning

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.