Information Package / Course Catalogue - Adnan Menderes University

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Statistical Genetics

Course Code	: BİS536
Course Type	: Area Elective
Couse Group	: Second Cycle (Master's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 3
Prt.	: 0
Credit	: 3
Lab	: 0
ECTS	: 3

Objectives of the Course

This course provides an introduction to the models and methods of Statistical Genetics for students with little Genetics background but with some knowledge of Probability and Statistics. The course provides a basis for further study in Statistical Genetics.

Course Content

Mendelian genetic traits. Hardy-Weinberg, allelic variation, subdivision. Likelihood inference, latent variables and EM algorithm. Pedigree relationships and gene identity. Meiosis and recombination. Linkage detection. Multipoint linkage analysis.

Name of Lecturer(s)

Learning Outcomes

1.	Be able to statistically relate genetic and environmental effects to a quantative trait
2.	Be able to identify procedures for estimation of genetic and enviromental effects
3.	Be able to identify methods for localization of genes that influence variation in quantitative traits
4.	Be able to identify methods for quantifying the affects of genetic variants on quantitative traits
5.	Be able to read/understand the current applied and theoretical literature involving genetic influences on quantitative traits

Recommended or Required Reading

Weekly Detailed Course Contents

Week 1 - Theoretical

Overview of genome mapping

Week 2 - Theoretical

Basic genetics: Mendelian genetics,Population & quantitative genetics,Marker segregation analysis

Week 3 - Theoretical

Simple Mendelian traits; Mendelian segregation, dominant and recessive traits, X-linked traits, patterns of inheritance

Week 4 - Theoretical

Population genetic issues; testing Hardy-Weinberg equilibrium, likelihood estimation of allele frequencies, the EM algorithm

Week 5 - Theoretical

Haplotypes, allelic association and haplotyping. Likelihood estimation of haplotype frequencies. Mutation, selection, and random genetic drift

Week 6 - Theoretical

Kinship and gene identity by descent; probabilities on pedigrees

Week 7 - Theoretical

Genetic linkage; meiosis and recombination, twolocus kinship and gene identity, linkage disequilibrium, Two-locus linkage analysis, the probabilities of meiosis patterns-1

Week 8 - Theoretical

Literature review and discussion (Midterm exam)

Week 9 - Theoretical

Genetic linkage; meiosis and recombination, twolocus kinship and gene identity, linkage disequilibrium, Two-locus linkage analysis, the probabilities of meiosis patterns-2

Week 10 - Theoretical

Simple designs for two-locus linkage; testing for linkage, expected lod scores and power to detect linkage, homozygosity mapping-1

Week 11 - Theoretical

Simple designs for two-locus linkage; testing for linkage, expected lod scores and power to detect linkage, homozygosity mapping-2

Week 12 - Theoretical

Meiosis, recombination and map functions

Week 13 - Theoretical

Multipoint linkage analysis; the hidden Markov model for multipoint linkage

Week 14 - Theoretical

The Baum algorithms; the EM algorithm for map estimation

Week 15 - Final Exam

Final exam

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Attending Lectures	1	%5
Assignment	1	%5
Midterm Examination	1	%20
Final Examination	1	%70

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	0	2	28
Assignment	1	2	0	2
Quiz	2	2	1	6
Midterm Examination	1	15	2	17
Final Examination	1	20	2	22
TOTAL WORKLOAD (hours)				75

Contribution of Learning Outcomes to Programme Outcomes

	PÇ-1	PÇ-2	PÇ-3	PÇ-4	PÇ-5	PÇ-6	PÇ-7	PÇ-8	PÇ-9	PÇ-10
OÇ-1	5	5	5	5	5	5	4	5	5	5
OÇ-2	5	5	4	5	5	5	5	5	5	4
OÇ-3	4	5	5	5	4	4	4	4	4	3
OÇ-4	5	3	4	5	4	5	4	5	3	4
OÇ-5	5	4	5	4	5	4	5	4	5	4

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