Difference between revisions of "User:PedroMarquesVidal"

 
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Chef de Clinique Adjoint
 
Chef de Clinique Adjoint
  
Institut Universitaire de Médecine Sociale et Préventive
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Institut Universitaire de Médecine Sociale et Préventive, bureau 125
  
 
17, rue du Bugnon
 
17, rue du Bugnon
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Phone: +41 21 314 72 65
 
Phone: +41 21 314 72 65
  
Fax:  +41 21 314 73 73
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Fax:  +41 21 314 72 44
  
 
Email: Pedro-Manuel.Marques-Vidal@chuv.ch
 
Email: Pedro-Manuel.Marques-Vidal@chuv.ch
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== Topic ==
 
== Topic ==
  
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.
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'''TOPIC 1''': The goal is to perform a genome-wide association study that will potentially identify SNPs that are related to liver abnormalities in obese subjects (NAFL or NASH) by a) performing a GWAS on liver abnormalities; b) search for interactions with body mass index or obesity of the potential candidate SNPs identified; c) perform a GWAS comparing obese subjects with and without hepatic abnormalities. The tool of choice for this project is logistic regression analysis and linear 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.
 
 
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.
 
  
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'''TOPIC 2''': The goal is to perform a genome-wide association study that will potentially identify SNPs that are related to liver markers by a) performing a GWAS on liver markers; b) search for interactions with body mass index or alcohol consumption of the potential candidate SNPs identified; The tool of choice for this project is logistic regression analysis and linear 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.
 
== References ==
 
== References ==
  
Kim U, Wooding S, Ricci D, Jorde LB, Drayna D. Worldwide haplotype diversity and coding sequence variation at human bitter taste receptor loci. Hum Mutat. 2005 Sep;26(3):199-204
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'''TOPIC 1''': Kotronen et al. (2009) A common variant in PNPLA3, which encodes adiponutrin, is associated with liver fat content in humans. Diabetologia 52:1056–1060
 
 
Mangold JE, Payne TJ, Ma JZ, Chen G, Li MD. Bitter taste receptor gene polymorphisms are an important factor in the development of nicotine dependence in African Americans. J Med Genet. 2008 Sep;45(9):578-82.
 
 
 
Snedecor SM, Pomerleau CS, Mehringer AM, Ninowski R, Pomerleau OF. Differences in smoking-related variables based on phenylthiocarbamide "taster" status. Addict Behav. 2006 Dec;31(12):2309-12
 

Latest revision as of 13:50, 22 February 2011

Contact

Pedro Marques-Vidal

Chef de Clinique Adjoint

Institut Universitaire de Médecine Sociale et Préventive, bureau 125

17, rue du Bugnon

1005 Lausanne

Phone: +41 21 314 72 65

Fax: +41 21 314 72 44

Email: Pedro-Manuel.Marques-Vidal@chuv.ch

Topic

TOPIC 1: The goal is to perform a genome-wide association study that will potentially identify SNPs that are related to liver abnormalities in obese subjects (NAFL or NASH) by a) performing a GWAS on liver abnormalities; b) search for interactions with body mass index or obesity of the potential candidate SNPs identified; c) perform a GWAS comparing obese subjects with and without hepatic abnormalities. The tool of choice for this project is logistic regression analysis and linear 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.

TOPIC 2: The goal is to perform a genome-wide association study that will potentially identify SNPs that are related to liver markers by a) performing a GWAS on liver markers; b) search for interactions with body mass index or alcohol consumption of the potential candidate SNPs identified; The tool of choice for this project is logistic regression analysis and linear 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.

References

TOPIC 1: Kotronen et al. (2009) A common variant in PNPLA3, which encodes adiponutrin, is associated with liver fat content in humans. Diabetologia 52:1056–1060