COURSE UNIT TITLE

: STATISTICS IN GENOMICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MBG 6117 STATISTICS IN GENOMICS ELECTIVE 3 0 0 12

Offered By

Molecular Biology and Genetics

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

ASSISTANT PROFESSOR YAVUZ OKTAY

Offered to

Molecular Biology and Genetics
Biomedicine and Health Technologies

Course Objective

To provide a comprehensive introduction to statistical methods used in genetic epidemiology.

Learning Outcomes of the Course Unit

1   To discuss the pros and cons of statistical tests used in genetic epidemiology
2   To be able to analyze genetic epidemiological data with the appropriate statistical tests
3   To interpret the results of various statistical tests
4   To present research findings in an effective manner

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Basic Genetics Models and Genetic Markers
2 Study Design in Genetic Studies
3 Linkage Disequilibrium
4 Familial Aggregation
5 Heritability and Recurrence Risk Ratios
6 Segregation Analysis and Models
7 LOD Scores
8 Genetic and Physical Maps
9 MIDTERM
10 Genetic Markers
11 Inference of Relationships
12 Linkage Analysis
13 Family and Population-Based Association Analysis
14 GWAS: Genotype Imputation and Pathway Analysis
15 Rare-variant Association Analysis
16 Gene-Gene and Gene-Environment Interactions

Recomended or Required Reading

Textbook(s): A Statistical Approach to Genetic Epidemiology: Concepts and Applications, 2nd updated edition, by Andreas Ziegler, Inke R. König, Friedrich Pahlke, Wiley-Blackwell, 2010. ISBN: 978-3527323890

Supplementary Book(s): The Fundamentals of Modern Statistical Genetics. Laird NM, Lange C, Springer Verlag, New York, 2011. ISBN: 978-1-4419-7337-5

Planned Learning Activities and Teaching Methods

Lectures will be thought by PowerPoint presentations, examples of real data analysis and recent literature.

Assessment Methods

Successful / Unsuccessful


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

Grading (%)
Semester Requirements:
Mid-term exam 20
Homework Assignments/Presentation 30
Final Exam 30
Active participation to the lecture 20

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

yavuz.oktay@deu.edu.tr
Phone: +90 232 412 6555

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 8 112
Preparation for final exam 1 30 30
Preparing assignments 2 20 40
Preparing assignments 1 20 20
Preparing presentations 2 15 30
Project Preparation 1 25 25
Final 1 5 5
TOTAL WORKLOAD (hours) 304

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8
LO.13
LO.22
LO.33
LO.42

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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