2006 Epidemiology, Biostatistics and Clinical Research Methods Summer Session by the Seattle VA Epidemiologic Research and Information Center (ERIC)
The following ten lectures were taped at the 2006 Epidemiology, Biostatistics and Clinical Research Methods Summer Session by the Seattle VA Epidemiologic Research and Information Center (ERIC) in collaboration with the University of Washington.
Part 01: Course Overview and Introduction to Commingling Analysis (UWTV)
Karen L. Edwards introduces commingling analysis and describes genetic epidemiology software resources available on the Web.
Part 02: Commingling Analysis: Applications, Challenges and Software (UWTV)
Karen L. Edwards describes commingling analysis applications and challenges and demonstrates NOCOM commingling analysis software.
Part 03: Twin Studies and Familial Correlations (UWTV)
Karen L. Edwards discusses study designs that utilize twin data and familial correlations and outlines their limitations.
Part 04: Segregation Analysis (UWTV)
Karen L. Edwards describes segregation analysis concepts, value, limitations and data interpretation.
Part 05: Linkage Analysis and Pedigree Checking (UWTV)
Karen L. Edwards describes linkage analysis and relevant statistical approaches and discusses pedigree structure and checking.
Part 06: Non-Parametric Linkage Analysis (UWTV)
Karen L. Edwards emphasizes the big picture behind genetic epidemiology and linkage analysis and compares parametric and non-parametric Linkage Analysis.
Part 07: Genetic Association Studies: Pitfalls and Challenges (UWTV)
Karen L. Edwards discusses genetic association studies and compares them to family based tests of association.
Part 08: Genetic Association Study Types and Family-Based Tests of Association (UWTV)
Karen L. Edwards discusses genetic association study types and family based tests of association.
Part 09: Linkage Disequilibrium (UWTV)
Karen L. Edwards discusses linkage disequilibrium and examines its value and measures. T
Karen L. Edwards discusses approaches to single nucleotide oolymorphisms (SNPs) selection approaches and haplotype map (HapMap) project.