Difference between revisions of "Whole genome association study: Alcohol consumption in the Cohorte Lausannoise"
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'''Supervisors''': [[Murielle Bochud]] & [[User:Sven|Sven Bergmann]] | '''Supervisors''': [[Murielle Bochud]] & [[User:Sven|Sven Bergmann]] | ||
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+ | '''Presentation''': [[Media:Murielle.ppt]] | ||
'''References''': see [[Genome Wide Association Studies]] | '''References''': see [[Genome Wide Association Studies]] |
Revision as of 11:01, 24 February 2009
Background: The Cohorte Lausannoise (CoLaus) includes more than 6,000 individuals that have been extensively phenotyped for clinical observables related to cardiovascular risk factors and who have been genotyped for about half a million single nucleotide polymorphisms (SNPs).
Goal: The goal of the project is to perform a genome-wide association study that will potentially identify SNPs that are related to “alcohol consumption” and related phenotypes.
Mathematical tools: The tool of choice for this project is regression analysis. The student will learn the basics of regressing a given phenotype to a genotype and how this analysis is implemented on a computer to handle a large number of SNPs. If time permits the student will explore the effect of other phenotypes as covariables and/or environmental interactions.
Biological or Medical aspects: The “biology supervisor” will provide background of the medical significance of alcohol consumption in the general population and in the context of cardiovascular risks.
Supervisors: Murielle Bochud & Sven Bergmann
Presentation: Media:Murielle.ppt
References: see Genome Wide Association Studies
(Project in Course: "Solving Biological Problems that require Math")