Search programme

​Use the search function to search amongst programmes at Chalmers. The study programme and the study programme syllabus relating to your studies are generally from the academic year you began your studies.

Syllabus for

Academic year
TMS121 - Statistics in genetics
 
Owner: BIMAS
5,0 Credits (ECTS 7,5)
Grading: TH - Five, Four, Three, Not passed
Level: B
Department: 11 - MATHEMATICAL SCIENCES


Teaching language: English

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 No Sp
0105 Examination 5,0 c Grading: TH   5,0 c   Contact examiner,  28 Aug 2006 am V

In programs

TITEA SOFTWARE ENGINEERING, Year 4 (elective)
TKBIA BIOENGINEERING, Year 4 (elective)
BIMAS MSc PROGRAMME IN BIOINFORMATICS, Year 1 (elective)

Examiner:

Docent  Marita Olsson


Replaces

TMS120   Statistics in genetics


Eligibility:

For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.

Course specific prerequisites

Calculus, and a basic course in statistics.

Aim

Research in genetics poses many interesting problems of probabilistic
and statistical nature. For instance, given a pedigree (family tree)
where some members are affected by a certain disease, how can we
assess if it is a genetically inherited disease or not, and what
conclusions can be made about the inheritance pattern (e.g. dominant
or recessive inheritance).

This course deals mainly with models and methods that are used in
human genetics to localise disease related genes. Common methods are
genetic linkage analysis, allelic association analysis, and
quantitative trait loci (QTL) linkage analysis. The aim is to give the
student a basic knowledge and understanding of both the theory behind
and application of these methods. Furthermore, we will look at some
computational methods developed in a recent area of research
concerning haplotype structure and blocking.

Goal

At the end of this course, students should be able to perform
parametric, and non-parametric linkage analysis, and family based
association analysis. Furthermore, students should know which of these
methods that should be applied in which situation, and what
conclusions can be drawn from the results. Students should have gained
some insights into QTL-analysis, disequilibrium measures and be
familiar with concepts like haplotype block and tags.

Content


  • Basic concepts: Recombination fraction, Hardy-Weinberg equilibrium, mapping functions, disease penetrance parameters, etc.
  • Linkage analysis: Classical parametric ideas and algorithms, nonparametric analysis, affected sib-pair methods and their extensions.
  • Introduction to ideas and concepts in linkage analysis for quantitative traits models.
  • Association analysis: Classical case control studies and family based association tests.
  • Software: GENEHUNTER.
  • Haplotype blocking methods.

Organisation

Lectures and exercises, and a couple of computer laborations.

Homepage: http://www.math.chalmers.se/Stat/Grundutb/Chalmers/TMS121/

Literature

To be confirmed.

Examination

Exercises and a written exam.


Page manager Published: Mon 28 Nov 2016.