Max Delbrück Center (MDC) for Molecular Medicine - Berlin, Germany

Basic Gene Mapping\Linkage Analysis Course
July 4-8, 2005


Each session will start with a theoretical introduction followed by practical exercises. The instructors for the course are Suzanne Leal (Baylor College of Medicine) , Bertram Müller-Myhsok (Max-Planck-Institute of Psychiatry) and Michael Nothnagel (Max Delbrück Center). Please feel free to bring your own data sets for discussion and/or analysis.

The course will be held daily from 9:00 AM - 5:00 PM, except on Wednesday when the course will end at 12:30 PM for sightseeing.

MONDAY
July 4, 2005
Morning   Lecture
    Basic terminology, introduction to population genetics, calculating lod scores
     
Afternoon   Lecture
    Getting started using UNIX, introduction to linkage analysis, file system used by the LINKAGE programs, locus types, data entry for a dominant disease
    Exercises
    LINKAGE programs (MLINK, ILINK)
   
TUESDAY
July 5, 2005
Morning   Lecture
    Incomplete penetrance, penetrances for autosomal recessive and x-linked inheritence, allele frequency estimation, loops and detecting genotyping errors
    Exercises
    MEGA2, UNKNOWN, PEDMANAGER and PEDCHECK
     
Afternoon   Lecture
    Designing a gene mapping study. Association studies - case control and family based (trios)
    Exercises
    TBA
   
WEDNESDAY
July 6, 2005
Morning   Lecture
    Parametric multipoint gene mapping and genetic maps
    Exercises
    LINKAGE (LINKMAP), GENEHUNTER and SIMWALK2
     
Afternoon   Time for sightseeing
     
   
THURSDAY
July 7, 2005
Morning   Lecture
    Allele-sharing (nonparametric) methods for both sib-pairs and extended families
    Exercises
    GENEHUNTER and SIMWALK2
     
Afternoon   Lecture
    Computer tools for fine mapping and gene identification
    Exercises
    Continued from morning session
   
FRIDAY
July 8, 2005
Morning   Lecture
    Linkage Admixture
   Exercises
   HOMOG, ANALYZE and GENEHUNTER
     
Afternoon   Lecture
   Sample size estimation and calculating empirical p-values
    Exercises
    SIMULATE, SLINK, MSIM and EpiInfo