Course content - Learning outcome - Admission - Prerequisites - Teaching - Examination - Evaluation

Course content

The course is intended to give an understanding of concepts and methods related to genetic epidemiology with focus on both familiy-related linkage analysis and population-based association studies. We will explain general concepts of genetic epidemiology, and demonstrate practical methods and tools needed for different kinds of genetic data. In the hands-on parts of the course we will focus on softwares PLINK (for association) and Merlin (for linkage analysis).

Learning outcome

1. Basic concepts of genetic epidemiology: Hardy-Weinberg equilibrium, haplotypes, genetic mapping measures, linkage disequilibrium, data quality control, study design, population stratification.

2. Introduction in PLINK and Merlin software.

3. Population-based association studies:

• Analysis of qualitative and quantitative traits
• Multifactorial Analysis of SNPs: (logistic) regression, likelihood-ratio test etc
• Multiple testing

4. Parametric Linkage-Analysis:

• Pedigrees and inheritance modes of Mendelian diseases, LOD scores,
• two-point and multipoint analysis,
• power analysis for linkage,
• clinical aspects of linkage analysis.

5. Siste nytt (Current Research topics)

Admission

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Ph.D. candidates at the University of Oslo and students at the Medical Student Research Programme will get first priority to the course. External applicants will be admitted if there are any available places.

The StudentWeb is open for registration from 1st June to 1st September.

Registration form for external participants

Final date for registration 1st September.

The maximum number of participant is 30.

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Prerequisites

Formal prerequisite knowledge

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Basic knowledge of statistics, equivalent to an introductory course.

Recommended previous knowledge

Basic knowledge of Genetics, Basic computational skills

Teaching

The course is taught on the following dates autumn 2012:
29th October - 2nd November

The course includes lectures and exercises in PC-labs.

Access to teaching

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Examination

A take-home exam will be given at the end of the course. Grading: Pass/fail.

Examination support material

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Language of examination

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Grading scale

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Explanations and appeals

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Students can request an explanation of their grades, and can also appeal against their grades or make a complaint about formal examination errors. Read more about explanations and appeals

Resit an examination

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Withdrawal from an examination

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Special examination arrangements

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Evaluation

Feedback from our students is essential to us in our efforts to ensure and further improve the high quality of our programmes and courses. All courses are subject to continuous evaluation. At regular intervals we also ask students on a particular course to participate in a more comprehensive, periodic evaluation of this course.