Learning outcomes
After this course, you can use genome information to predict, diagnose, make a prognosis, and suggest treatment options and measures for disease prevention, in an individual patient.
Specific learning outcomes:
- Infer the effects of genome variation on human disease.
- Describe the strengths and weaknesses of the different techniques to study the human genome and can apply these techniques according to the specific research question at hand.
- Predict the effect of genetic factors on the efficacy of medication.
- Describe the complex interaction between heritability and environment resulting in common multifactorial diseases.
- Write an argumentative, well-organized, concise report using original research data
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New powerful genome-wide techniques have instigated a new era in human genetic research and DNA diagnostics. Just 20 years ago, it was thought that the human genome was mostly invariable and differences between individuals small. Now we know that even relatively large pieces of DNA may be missing without severe consequences for the individual at hand. This genomic variation has major implications for our own lives, as it influences intelligence, longevity, strength, speed, and obviously also our susceptibility for disease. In this course, we will discuss the latest developments in translational genomics and its consequences for patient, her/his family, and the society at large.
Subjects
- Genomic architecture and variation
- Comparative genomics
- Causes and determination of genetic variation
- Inheritance patterns
- Male and female contribution to genome variation
- Non-invasive prenatal testing
- Animal models for disease
- Multifactorial diseases
- Pharmacogenomics
- Nociception
- Personalized Medicine
Instructional modes
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| Molecular basis of disease (NWI-MOL055) and Genomics for Health and Environment (NWI-BB086) are recommended but not essential. |
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| The assessment will be carried out on the basis of the participation in the closing debate (pass/fail), report on original research data (weight 2/10), and a written test (weight 8/10). The student has to pass all three components separately to pass this course. |
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| Teaching methods
22 hrs lectures
74 hrs self study
22 hrs interactive lectures
4 hrs computer-assisted practicals
2 hrs tutorials
3 hrs group assignment
2 hrs debate
Learning outcomes
After this course, you can use genome information to predict, diagnose, make a prognosis, and suggest treatment options and measures for disease prevention, in an individual patient.
Specific learning outcomes:
1. Infer the effects of genome variation, such as polymorphisms, mutations, and copy number variations, on human disease.
2. Describe the strengths and weaknesses of the different techniques to study the human genome and can apply these techniques according to the specific research question at hand.
3. Infer the effect of genomic variants on RNA, protein, cellular, and organismal level.
4. Describe the complex interaction between heritability and environment resulting in common multifactorial diseases.
5. Predict the effect of genetic factors on the efficacy of medication.
6. Write an argumentative, well-organized report (max. 2000 words) using original research data.
This course is part of the specialisation ‘Human biology’. |
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