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

BuchGebunden
334 Seiten
Englisch
Springererschienen am24.11.20132014
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.mehr
Verfügbare Formate
BuchGebunden
EUR139,09
BuchKartoniert, Paperback
EUR139,09
E-BookPDF1 - PDF WatermarkE-Book
EUR128,39

Produkt

KlappentextThis 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.
ZusammenfassungThis book surveys statistical aspects of designing, analyzing and interpreting results of genome-wide association scans for genetic causes of disease, using unrelated subjects. Covers bioinformatics and data handling methods needed to ready data for analysis.
Details
ISBN/GTIN978-1-4614-9442-3
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2013
Erscheinungsdatum24.11.2013
Auflage2014
ReiheStatistics for Biology and Health
Seiten334 Seiten
SpracheEnglisch
Gewicht717 g
IllustrationenXV, 334 p. 39 illus.
Artikel-Nr.15407838
Rubriken
GenreMedizin

Inhalt/Kritik

Inhaltsverzeichnis
âIntroduction 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.mehr

Autor

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.