Rockefeller University
ADVANCED GENE MAPPING COURSE
December 8-12, 2008
The course will be held every day from 9:00AM - 5:00PM in Room 302 of the Weiss Building on the Rockefeller University campus, located at 1230 York Avenue (entrance at 66th Street). On Wednesday, a special lecture will be given by Dr. Jurg Ott at 5:00 PM. On Monday evening a social gathering will be held at The Rockefeller University Faculty Club.
Each session will start with a theoretical introduction followed by practical exercises. Instructors for the course are Goncalo Abecasis, Laura Almasy, David Clayton, Heather Cordell and Suzanne Leal.
Please note that the schedule is tenative. The topics which will be covered by specific instructors will be updated. Additionally the order may be changed.MONDAY - December 8
Instructor - Heather Cordell
Non-parametric linkage analysis of pedigree data and sib-pair data for qualitative and quantitative traits.
Exercises: GENEHUNTER, MERLIN, R
Evening Program
5:30PM Get-together for course participants and instructors at The Rockefeller Faculty Club.
TUESDAY - December 9
Instructor - Laura Almasy
Variance Component Analysis, Family-based association analysis of quantitative traits
Exercises: SOLAR
WEDNESDAY - December 10
Instructor - Suzanne Leal
Haplotypes and linkage disequilibrium, tagSNP selection; Sample size estimation and power Analysis (pedigree, sib-pair and case control data);
Simulation and permutation; Estimation of empirical p-values; controling for multiple testing; False Discovery Rate; Data quality control.
Exercises: R, Tagger, Genetic Power Calculator, SLINK, MSIM
Evening Program
5:00PM Special Lecture - Jurg Ott
Genetic and non-genetic risk factors in case-control association studies.
THURSDAY - December 11
Instructor - Goncalo Abecasis
Family based association analysis; Imputing genotype data for pedigrees and individuals; Population based association analysis
Exercises: MERLIN, MACH, GWava (Genome Wide Association Visual Analysis)
FRIDAY - December 12
Instructor - David Clayton
Test of association for unrelated individuals; Whole genome scan analyisis; population admixture/substructure.
Exercises with R (DGCgenetics, snpMATRIX)