Difference between revisions of "User:PedroMarquesVidal"
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Pedro Marques-Vidal | Pedro Marques-Vidal | ||
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Chef de Clinique Adjoint | Chef de Clinique Adjoint | ||
| − | Institut Universitaire de Médecine Sociale et Préventive | + | |
| + | Institut Universitaire de Médecine Sociale et Préventive, bureau 125 | ||
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17, rue du Bugnon | 17, rue du Bugnon | ||
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1005 Lausanne | 1005 Lausanne | ||
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Phone: +41 21 314 72 65 | Phone: +41 21 314 72 65 | ||
| − | Fax: +41 21 314 | + | |
| + | Fax: +41 21 314 72 44 | ||
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Email: Pedro-Manuel.Marques-Vidal@chuv.ch | Email: Pedro-Manuel.Marques-Vidal@chuv.ch | ||
== Topic == | == 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. | |
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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 == | ||
| − | + | '''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 | |
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Latest revision as of 14:50, 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
