Difference between revisions of "Genetics of eating patterns"
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see [[Genome Wide Association Studies]], [[Media: McCarthy_review_GWAS.pdf ]], [[GIANT_height | GWAS papers]] | see [[Genome Wide Association Studies]], [[Media: McCarthy_review_GWAS.pdf ]], [[GIANT_height | GWAS papers]] | ||
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Revision as of 15:13, 19 February 2013
Background: Little is known currently on genetic determinants of human diet, taste sensitivity, food preferences.
Goal: The goal of this project is to analyse food questionnaire data of the Cohorte Lausannois (CoLaus) Study and associate dietary patterns with genotypes.
Mathematical tools: Statistics. The students will learn how to use Matlab to read in large data sets including genetic data; conduct linear and logistic regression and interaction analysis.
Biological or Medical aspects:
Supervisors: Tanguy Corre & Diana Marek
Students:
Presentation:Media: Genetics of food behaviour.ppt
References: <biblio>
- genick2011 Genick et al. Sensitivity of genome-wide-association signals to phenotyping strategy: the PROP-TAS2R38 taste association as a benchmark. PLoS ONE 2011;6(11):e27745. Epub 2011 Nov 23.
- colaus Firmann M, Mayor V, Vidal PM, Bochud M, Pécoud A, Hayoz D, Paccaud F, Preisig M, Song KS, Yuan X, Danoff TM, Stirnadel HA, Waterworth D, Mooser V, Waeber G, Vollenweider P.The CoLaus study: a population-based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndrome. BMC Cardiovasc Disord. 2008 Mar 17;8:6.
</biblio> see Genome Wide Association Studies, Media: McCarthy_review_GWAS.pdf , GWAS papers
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