Design, Analysis, and Interpretation of Genome-Wide Association Scans

Häftad, Engelska, 2016

Av Daniel O. Stram

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This book presents the statistical aspects of designing, analyzing and interpreting the results of genome-wide association scans (GWAS studies) for genetic causes of disease using unrelated subjects.

Produktinformation

Utgivningsdatum2016-08-23
Mått155 x 235 x 24 mm
Vikt552 g
FormatHäftad
SpråkEngelska
SerieStatistics for Biology and Health
Antal sidor334
FörlagSpringer-Verlag New York Inc.
ISBN9781493949526

Tillhör följande kategorier

Medicinsk genetik inom Medicin
Matematisk statistik inom Naturvetenskap och teknik

Dr. Stram’s interests center on the application of modern statistical methods to epidemiologic studies: his research includes methods in longitudinal analysis, meta-analysis, survival analysis, and the analysis of errors in exposure measurement and he is well known for his work on the Atomic Bomb survivors study, the Colorado Plateau Uranium Miners study, the Multiethnic Cohort study and on clinical trials of childhood cancer. He has been an investigator and collaborator on many large scale genetic association studies with an emphasis on multi-ethnic analyses, and has published widely on haplotype analysis, analysis of hidden population structure, and the design of multi-stage genotyping and genome-wide association studies.

Introduction to Genome-Wide Association Studies.- Topics of Quantitative Genetics.- An Introduction to Association Studies.- Correcting for Hidden Population Structure in Single Marker Association Testing and Estimation.- Haplotype Imputation for Association Analysis.- SNP Imputation for Association Studies.- Design of Large-scale Genetic Association Studies, Sample Size and Power.- Post-GWAS Analyses.