General information |
Course unit name: Mendelian and Complex Genetic Diseases
Course unit code: 568777
Academic year: 2021-2022
Coordinator: Roser Corominas Castińeira
Department: Department of Genetics, Microbiology and Statistics
Credits: 5
Single program: S
Estimated learning time |
Total number of hours 125 |
Face-to-face and/or online activities |
31 |
- Lecture |
Face-to-face |
11 |
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- Problem-solving class |
Face-to-face |
4 |
|||
- IT-based class |
Face-to-face |
6 |
|||
- Seminar |
Face-to-face |
10 |
Supervised project |
10 |
Independent learning |
84 |
Competences to be gained during study |
Basic competences
|
Learning objectives |
Referring to knowledge For many years, the study of human genetic diseases has focused on chromosomal abnormalities and monogenic disorders, which are rare among the general population. Recently, the study of common disorders, caused by the interaction of multiple genetic and environmental factors, has expanded thanks to the advents in the field of genetic epidemiology, the development of novel tecnologies (genotyping and massive genome sequencing techniques) and of appropriate statistical methods (along with large increases in computing power). The master’s degree in Genetics and Genomics, through the module of Human Genetics, provides a course dedicated to the study of these disorders – a growing field of increasing importance within the health system – and to new experimental approaches to the study of Mendelian diseases. |
Teaching blocks |
1. Week 1: Leveling
* Monogenic diseases. Pedigrees and types of inheritance patterns. Linkage. Mosaicism, penetrance and expressivity, imprinting, anticipation, and other complications to mendelian patterns. Complex diseases. Application examples.
2. Week 2: Rare disorders and Next Generation Sequencing (NGS)
* Strategies to identify genes responsible for Mendelian diseases (including exome/genome/transcriptome sequencing) and molecular pathology. Identifying the disease gene. Positional cloning. Model organisms. Candidate genes. Exome Sequencing for the identification of Mendelian disease genes. DNA and RNA high throughput analyses technologies. Molecular pathology. Functional studies.
3. Week 3: Structural variations (SV)
* Genomic SV. Mechanismes to generate SV. Detection SV. Structural variations and disease. Uniparental Disomies. Mosaicism.
4. Week 4: Genome Wide Association Studies (GWAS)
* Association studies. GWAS. Genotype imputation. Meta-analyses. Intermediate phenotypes. Biomarker, Surrogate endpoint, Intermediate endpoint, and Endophenotype.
5. Week 5: Quantitative genetics
* Family studies of complex traits. Multifactorial, heritability, Polygenic theory. Risk ratio. Twin studies. Complex Segregation Analyses.
Association studies and linkage analysis of complex traits. Linkage. Non-parametric methods of linkage. Affected sib pairs (ASP) analysis.
Evolution and genetic diseases.
6. Week 6: NGS in complex disorders. Precision medicine
* Functional annotation of variants outside gene regions. Single variant association test. Collapsing methods. Common functions/pathways.
7. Practicals
* Computational methods in genome-wide association studies (GWAS) on PLINK: samples quality control, analysis of population stratification based on principal component analysis (PCA), GWAS association study, Manhattan plot and secondary analysis of GWAS results on FUMA (Functional Mapping and Annotation of GWAS)
8. Seminars
* Articles presentations and genetic counselling case study discussion.
9. Symposium on Rare Disorders
* The symposium is focused on the genetic bases of rare disorders. It includes talks from four prestigious researchers focused on the discovery of diseases genetic basis, the past and present genetic diagnose, research studies, including therapeutic approaches and animal models, as well as genetic counseling. At the end there is a round table discussion session. The student will have a complete overview of the state of the art of the particular topic.
Teaching methods and general organization |
Face-to-face learning activities |
Official assessment of learning outcomes |
• 60% Multiple choice and short questions exam.
Exam evaluating the basic concepts explained in class, including questions on the content of lectures given by guest lecturers and the articles presented by other students. The students must have at least 4/10 in this part to pass the course.
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Reading and study resources |
Consulteu la disponibilitat a CERCABIB
Book
Human Molecular Genetics 5th Edition.2019
Tom Strachan and Andrew Read ISBN: 9780815345893
Human Molecular Genetics 5th Edition.2019
Thompson & Thompson Genetics in Medicine. 8th Edition. 2016
Robert Nussbaum Roderick McInnes Huntington Willard ISBN: 9781437706963
Genetics in Medicine. 8th Edition. 2016
Genetics: A Conceptual Approach. 7th Edition. 2020
Benjamin A. Pierce ISBN: 9781319308315
Genetics: A Conceptual Approach. 7th Edition. 2020
Genetics and Genomics in Medicine. 1st Edition. 2015
Tom Strachan, Judith Goodship, Patrick Chinnery ISBN: 9780815344803
Genetics and Genomics in Medicine. 1st Edition. 2015
New clinical genetics 3. 3rd Edition. 2015
Andrew Read and Dian Donnai ISBN 9781907904677
New clinical genetics 3. 3rd Edition. 2015
Human molecular genetics. 3rd Edition. 2009
Peter Sudbery and Ian Sudbery ISBN 9780132051576
Human molecular genetics. 3rd Edition. 2009
Introduction to quantitative genetics. 4th Edition. 2009
D.S. Falconer and Trudy F.C. Mackay ISBN 0582243025
Introduction to quantitative genetics. 4th Edition. 2009
Principles of genome analysis and genomics. 3rd Edition. 2003
Sandy B. Primrose, Richard M. Twyman ISBN 1405101202
Principles of genome analysis and genomics. 3rd Edition. 2003
Statistical genetics of quantitative traits: linkage, maps, and QTL. 2007
Rongling Wu, George Casella, Chang-Xing Ma ISBN 9780387681542
Statistical genetics of quantitative traits: linkage, maps, and QTL. 2007
The statistics of gene mapping. 2007
David Siegmund, Benjamin Yakir ISBN 9781441923851