Introduction to genome-wide association studies

Lecturer

Prof. Dr. Alexander Bulinski


Time and Place

Lecture (January 13th to February 7th, 2014)
Monday, 8 - 10 am in HeE20

Wednesday, 12 - 2 pm in HeE60 


Type

4 hours lecture

Credit points: 2


Prerequisites

Stochastics I, Stochastics II


Intended Audience

Master students in "Mathematik", "Wirtschaftsmathematik" and "Mathematische Biometrie"; Master students in "Finance"


Contents

  • Background of genetics.
  • Complex diseases risks.
  • Multiple comparison procedures.
  • Dimensionality reduction of factors (versions of MDR method).
  • Classification and regression trees.
  • Logic regression and its extensions.
  • Random forests techniques.
  • Machine learning tools.
  • Pathway analysis.
  • Random fields employment.

Requirements


Exam

tba


Problem Sheets

tba


Literature

  • D.J.Balding, M.Bishop, C.Cannings (Editors). Handbook of Statistical Genetics. vol. 1,2. J.Wiley. 2007.
  • A.S.Foulkes. Applied Statistical Genetics with R for Population-based Association Studies. Springer. 2009.
  • J.H.Moore, J.C.Dunlap (Editors). Computational Methods for Genetics of ComplexTraits. Acad. Press. 2010.
  • B.A.Pierce. Genetics. A Conceptual Approach. W.H.Freeman and Company. 2012.
  • G.Zheng, Y.Yang, X.Zhu, R.C.Elston. Analysis of Genetic Association Studies. Springer. 2012.

Contact

Lecturer

  • Alexander Bulinski
  • office hours: on appointment
  • phone: tba

News