In Cardiovascular Genomics: Methods and Protocols, experts in the field provide methods for cardiovascular phenotyping of rodent models in the first section of the volume and for statistical and bioinformatic integration of phenotypedata with genome-wide genotype and expression data in the second section. Understanding these diverse methods will allow an individual laboratory to utilize these genomic methods independently or to better prepare for collaboration with scientists having expertise in other disciplines in order to uncover genesaffecting cardiovascular disease. Written in the highly successful Methods inMolecular Biology™ series format, chapters include introductions to their respective topics, lists of the necessary equipment, materials, and reagents, step-by-step, readily reproducible laboratory protocols, and notes on troubleshooting and avoiding known pitfalls. Covers a range of phenotyping, bioinformatics, and statistical methods required for cardiovascular genomic research Highlights expert insights to avoid or overcome technical difficulties phenotyping rodent models Includes methods for integrating genotype, gene expression, and phenotype data from rodents and humans Provides bioinformatics and statistical methods applicable to genomic research into many varied diseases INDICE: Modes of Defining Atherosclerosis in Mouse Models: Relative Meritsand Evolving Standards.- Evaluating Micro- and Macro-Vascular Disease, the End Stage of Atherosclerosis, in Rat Models.- Non-Invasive Blood Pressure Measurement in Mice.- Direct Blood Pressure Monitoring in Laboratory Rodents via Implantable Radio Telemetry.- Measuring Kidney Function in Conscious Mice.- Ischemic Stroke in Mice and Rats.- Mouse Surgical Models in Cardiovascular Research.- Echocardiographic Examination in Rats and Mice.- QTL Mapping in Intercross and Backcross Populations.- Quantitative Trait Locus Analysis Using J/qtl.- Computing Genetic Imprinting Expressed by Haplotypes.- Haplotype Association Mapping in Mice.- Candidate Gene Association Analysis.- Genome-Wide Association Study in Humans.- Bioinformatics Analysis of Microarray Data.- eQTL Analysis inMice and Rats.- eQTL Analysis in Humans.- A Systematic Strategy for the Discovery of Candidate Genes Responsible for Phenotypic Variation.
- ISBN: 978-1-60761-246-9
- Editorial: Humana
- Encuadernacion: Cartoné
- Páginas: 350
- Fecha Publicación: 01/09/2009
- Nº Volúmenes: 1
- Idioma: Inglés