2002/2003

Master in

Genetic Epidemiology

 

PROGRAMME

Statistics I and  Epidemiology

Principles of study design in epidemiological and experimental studies, probability and classical inference.

Population Genetics

Mendelian populations, Inbreeding, Evolutionary forces: deterministic vs stochastic processes, Multifactorial inheritance.

Human Molecular Genetics I

Human genome organization and structure of human genes, From genes to proteins, Mutations and instability of human DNA; genetic polymorphisms, pathogenic mutations, Tools and strategies for gene identification in inherited diseases, Molecular basis of human cancer.

Human Molecular Genetics II

Not yet available

Statistics II and Introduction to Genetic  Epidemiology

Regression models, interaction, model choice, survival analysis, case control studies analysis and principles of genetic epidemiology.

Linkage  Analysis I

Introduction to parametric and non parametric linkage analysis. Theory and application.

Linkage  Analysis II

Parametric and non parametric linkage analysis; genome screening.

Linkage Disequilibrium and Association Analysis

Theoretical and practical aspects of basic and complex association analysis: case control studies, haplotype relative risk, trasmission disequilibrium test, linkage disequilibrium mapping for qualitative and quantitative traits.

Advanced Linkage Analysis

  • Linkage analysis of marker versus marker, and deterministic
    genotype-phenotype relationships with ILINK;
  • Linkage disequilibrium between markers, and case-control studies with ILINK;
  • Joint linkage and linkage disequilibrium analysis between markers, and
    between markers and traits with model-based or pseudomarker model-free methods with ILINK;
  • Use of shell scripts and utility programs to simplify the practical
    application of these methods (ANALYZE, PSEUDOMARKER, DOWNFREQ, etc.).

Quantitative Character Traits Loci Analysis and Simulation Studies

Heterogenety. Simulation studies for power calculation and empirical p-value. Quantitative traits analysis. Regression based methods. Non parametric methods. Variance components approach, gene environment interaction.

Pharmacogenetics

Principles of Pharmacology. Study design and statistical analysis of pharmacogenetics studies.

 
 

FACULTY

Luisa Bernardinelli, Dip. Scienze Sanitarie Applicate, Università di Pavia, I

Aruna Bansal, Glaxosmithkline, UK;

Carlo Berzuini, Dip. di Informatica e Sistemistica, Università di Pavia, I

David Clayton, Wellcome Trust.-MRC Building University of Cambridge, UK

Heather Cordell, Wellcome Trust.-MRC Building University of Cambridge, UK

Mariaclara Cuccia, Dip. di Genetica e Microbiologia, Università di Pavia, I

Stefano Govoni, Dip. di Farmacologia Sperimentale e Applicata, Università di Pavia, I

Peter Holmans, MRC Biostatistics Unit, Institute of Public Health, UK

Suzanne Leal, Laboratory of Statistics Genetics, Rockfeller University, New York, USA

Adrian Mander, MRC Biostatistics Unit, Institute of Public Health, University of Cambridge, UK

Myriam Martinetti, Policlinico San Matteo, Università di Pavia, I

Cristina Montomoli, Dip. Scienze Sanitarie Applicate, Università di Pavia, I

Bertram Müller-Myhsok, Dept. of Molecular Medicine B. Nocht Inst. for Tropical Medicine, Hamburg, D

Marco Racchi, Dip. di Farmacologia Sperimentale e Applicata, Università di Pavia, I

Guglielmina Nadia Ranzani, Dip. Genetica e Microbiologia, Università di Pavia, I

Lodewijk A. Sandkuijl, Inst. of Clinical Gentics, Leiden University and Erasmus University, Rotterdam, NL

Shaun Seaman, MRC Biostatistics Unit, University of Cambridge, UK

Susan Service, Neuropsychiatric Inst. and Dept of Biomathematics, UCLA, Los Angeles, USA

Dawn Teare, Division of Genomic Medicine, University of Sheffield, UK

Joseph Terwilliger, Columbia University, New York, USA

Laura A. Zonta, Dip. Genetica e Microbiologia, Università di Pavia, I

 

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