Difference between revisions of "Whole genome association study: Tobacco consumption in the Cohorte Lausannoise"
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'''Supervisors''': [[User:PedroMarquesVidal|Pedro Marques-Vidal]] & [[User:Toby|Toby Johnson]] | '''Supervisors''': [[User:PedroMarquesVidal|Pedro Marques-Vidal]] & [[User:Toby|Toby Johnson]] | ||
− | '''References''': see [Genome Wide Association Studies] | + | '''References''': see [[Genome Wide Association Studies]] |
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(Project in [[Course: "Solving Biological Problems that require Math"]]) | (Project in [[Course: "Solving Biological Problems that require Math"]]) |
Revision as of 17:01, 19 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 tobacco consumption and related phenotypes. Particular emphasis will be put on SNP tagging taste-specific genes such as the TAS2R.
Mathematical tools: The tool of choice for this project is logistic 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 smoking in the general population and in the context of cardiovascular risks.
Supervisors: Pedro Marques-Vidal & Toby Johnson
References: see Genome Wide Association Studies
(Project in Course: "Solving Biological Problems that require Math")