ADVANCED LINKAGE COURSE
November 29 - December 3, 1999

Each session will start with a theoretical introduction followed by practical exercises.  Instructors for the course are David Allison, Simon Heath, Suzanne Leal, Tara Matise, Jurg Ott, Greg Schuler, Joseph Terwilliger, and Dan Weeks.  Please bring a calculator, and some blank diskettes if you wish to copy programs and course data files.  Also, you may want to bring your own data sets for discussion and/or analysis.

The course is everyday from 9:00AM- 5:00PM, except on Wednesday when the course will end at 12:30 PM to allow for sightseeing.   The course will take place in Room 302 of the Weiss Building on the Rockefeller University campus.
 

MONDAY, November 29th

Morning (Leal)
Introduction to Analysis of Complex Traits
Sample size estimation
Exercises with DESPAIR (SAGE)

Afternoon: (Terwilliger)
Population genetics and genetic epidemiology
Study design for mapping genes predisposing to complex traits
Linkage and association methods - comparison, contrast, and joint analysis
Association analysis (Case-control, HRR, etc)
 
Evening
Get-together for course participants and instructors
(approximately 5:15-7:30).
 

TUESDAY, November 30th

Morning (Allison)
Tests of association for quantitative and qualitative traits for
samples of unrelated and related individuals.
Family-based tests of linkage in the presence of association.
Exercises with SAS

Afternoon (Weeks)
 Non-parametric linkage analysis of pedigree data
 Exercises with GENEHUNTER, APM, SIMIBD, PEDCHECK, SIBERROR, and RELATIVE
 

WEDNESDAY, December 1st

Morning  (Weeks)
 Sib-pair Analysis
 Exercises with SPLINK, ASPEX, MAPMAKERS/SIBS, and SIBPAL (SAGE)

Afternoon
 Free time for sightseeing, etc.
 

THURSDAY, December 2nd

Morning (Ott)
 Lod score analysis of complex traits (Quantitative traits).
 Exercises applying the LINKAGE programs to analyze quantitative trait data
 
Afternoon (Matise)
 Radiation hybrid mapping, ordering marker loci
 Exercises with Crimap, CILINK and MAP-O-MAT
 
 
FRIDAY, December 3rd

Morning (Heath)
 Markov Chain Monte Carlo Methods
 Exercises with Loki
 
Afternoon (Schuler)
 Computational Genomics
 Electronic resources (NCBI, GDB, CEPH) for gene mapping
 Sequence comparison algorithms
 Exercises with BLAST, Electronic-PCR, Unigene, etc.