ECTS
ECTS Course Catalogue
Course details
Course code: BBS10136f16Semester: 2016/2017 summer
Name: Genome-Wide Association Study in Animals
Major: Biology
Study Type: first cycle
Course type: optional
Study Semester: 6
ECTS points: 3
Hours (Lectures / Tutorials / Other): 15 / 15 / 0
Lecturer: dr hab. Heliodor Wierzbicki
Language of instruction: Polish / English
The course taught in English if the group has ≥6 students. The course taught in Polish with a possibility of support in English if the group has <6 students.
Learning outcomes: Knowledge: Student: W1 - knows the statistical methods used when analyzing genomes of animals [KB_W09], [KB_W14]; W2 - knows principles of genome wide association, know classes of genetic markersand phenomenon of linkage disequilibrium [KB_W14]; W3 – knows how to estimate linkage disequilibrium and what kind of factors influence the accuracy of genome-wide association study [KB_W03]. Skills: Student: U1 - is able to use statistical methods and computer software to study data of biological (molecular) origin [KB_U04]; U2 - is able to use statistical methods and computer software to study and analyze genomes of animals as well as linkage between QTLs and genetic markers [KB_U03] [KB_U08]; U3 – is able to estimate an effect of QTLs on phenotypic variation of studied traits [KB_U08]; U4 - can prepare final project [KB_U18].
Competences: Personal and social competences (attitudes and behaviors): Student: K1 - is aware of advantages of team work and responsibility of team members for common goals [Kb_K02] K2– takes care of lab equipment [KB_K08].
Prerequisites: biochemistry, genetics, cell biology, computer science
Course content: The overall purpose of the course is to provide students with theoretical background and practical skills concerning genetic markers, linkage disequilibrium (LD) and its measures, mapping genes of large effects (QTL) using LD, marker assisted selection (MAS), and factors affecting the accuracy of genome-wide association study and genomic selection.
Recommended literature: 1. Brown T. A. (2001). Genomy. Wydawnictwo Naukowe PWN. 2. Falconer D.S., Mackay T.F.C. (1996). Introduction to quantitative genetics. Longman. 3. Winter P.C., Hickey G.I., Fletcher H.L. (2006). Genetyka. Krótkie wykłady. Wydawnictwo Naukowe PWN.
Assessment methods: students will have to prepare 2 projects using computer software; the final grade of the course will be calculated as arithmetic mean of the projects assessments.
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