| Detailed information | 
                                
                    
                      | Original study plan | Master's programme Biophysics 2021W | 
                      
                    
                      | Objectives | The aim of this course is to introduce students to different concepts in genetics and evolution applicable to understanding trends in genomic data.  Specifically, the course will concentrate on central concepts in population genetics describing the main evolutionary processes changing our genome. The main topics that will be covered are the basic laws of allelic distribution, the processes that change allele frequencies, with special emphasis on mutation and recombination, and the mechanisms of extinction and speciation. The course will be supported by exercises, which are an essential tool to understand the discussed concepts. Goals
 To provide an introduction to genetics and evolution
Explain relevant processes in genetics and evolution
Apply concepts to solve basic exercises
Learn to information related to evolutionary genetics to understand data structure
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                      | Subject | 1. Introduction to evolutionary genetics Evolutionary history to understand biology today
The genetic code
Biological dogma: From genes to proteins
The structure and organization of DNA
 2. Inheritance of genetic information   
 Genotype vs phenotype
The inheritance of DNA
Meiosis vs. mitosis
Male vs. female gametogenesis
Mitochondrial DNA
 3. Genome variation
 SNPs and repeats
Types of SNPs (SNVs)
Repeats
Micro- and minisatellites
Transposons
Copy number variants (CNVs)
Segmental duplications
 4. Sources of genome variation
 Sources of mutations
Environmental factors as sources of mutations
STR process of mutagenesis
Microsatellites
Evolution of copy number variants
Databases of sequence variation (Hapmap)
 5. Molecular methods to measure genome variation
 Methods to detect genomic variation
PCR
Genotyping (low and large throughput)
Sequencing
Next-generation sequencing
Target enrichment
Errors in next generation sequencing
Discovering and assaying variation at tandem repeats
 6. Processes that change our genome
 Meiotic recombination ?molecular process
How does recombination introduce new variations?
Haplotyping strategies
Recombination hotspots
How is recombination inferred?
Types of recombination
 7. Quantifying Genomic variation
 Allele frequency
Hardy-Weinberg equilibrium
Chi-square test
Frequency of heterozygotes
 8. Processes that change our genome
 Mutations and allele frequency
Reversible mutations
Estimation of mutation rates
Factors modifying germline mutation rates
 9. Processes that change our genome (continued?)
 Neutral evolutionary processes               
Random Genetic drift                  
Bottlenecks
Recombination
Linkage disequilibrium (D)
How is LD estimated?
What is the relationship between LD and recombination?
 10/11 Processes that change our genome (continued?)
 Genetic drift-effective population size
Selection on variation                                                     
Types of selection
Examples of balancing selection
MHC
Malaria and sickle cell anemia                                        
How does selection change allele frequencies?
Has selection been acting?           
 Exercise                                  
 Methods to measure selection in genome data
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                      | Criteria for evaluation | Grading Exercises: Homework (20%)
2 Exams: short answer / multiple choice questions / exercises (80%). Last exam will be cumulative
 Exercises: After some lectures a series of exercises will be due for homework (20% of the grade). In addition, every session I will pick somebody to present on the blackboard how a particular exercise was solved.
 Exam: There will be two written exams. The last exam will be cumulative. Each exam will count 40% of your grade, 80% in total
 Grade scale:
 1 90-100; 
2 89-80; 
3 70-79; 
4 60-69; 
5 0-59
 Attendance: No attendance required for  the lectures.
 Student resources: I will be recording the sessions so you can listen to the lectures and presentations again.
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                      | Methods | Lectures will be combined with exercises explained in class. Exercises will be solved outside of class, but some example questions will be explained on the blackboard. An important aim of the course is also for students to understand how experiments are performed to discover the evolutionary processes in our genome; thus, the course will also discuss methods and techniques to gather data which is analyzed by bioinformaticians. | 
                                     
                    
                      | Language | English | 
                      
                    
                      | Study material | Principles of Population Genetics by Daniel Hartl and Andrew Clark ed.  (Sinauer, 2nd edition 2009).
Evolution (CSHL by Nicholas Barton, Derek Briggs, Jonathan Eisen, David Goldstein, Nipam Patel, ed. )
Human Evolutionary Genetics by Jobling, Mark; Tyler-Smith, Chris; Hollox, Edward; Hurles, Matthew; Kivisild,  Toomas. Second Edition (Taylor and Francis CRC.
 Also see: 
http://www.intechopen.com/books/studies-in-population-genetics
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                      | Changing subject? | No | 
                                        
                      | Corresponding lecture | (*)675GTSBTGEK15: KV Topics in Genetics & Evolution (3 ECTS) | 
    
                                        
                      | Earlier variants | They also cover the requirements of the curriculum (from - to) 675GTSBTGEK15: KV Topics in Genetics & Evolution (2015W-2019S)
 
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