Meeting Program

The people mentioned below gave an introduction to the topic and lead the discussion. Note: many of the topics have hyperlinks to the talks.

8.30 Hans van Houwelingen
Welcome

8.45 Jaakko Kaprio
Design of the Genomeutwin project
• heritability
• genome-wide markers + linkage analysis
• SNP and haplotypes
• cohorts and association

9.15 Carolina van Baal (DaniellePosthuma)
Heritability analysis I, quantitative data like height
• use of Mx scripts for twin research paper
• use of other software platforms (PROC MIXED in SAS)
• meta-analysis
• joint analysis of all data

9.45 Carolina van Baal (DaniellePosthuma)
Heritability analysis II, ordinal/dichotomous data like the Migraine data
• same issues as under quantitative data
• effect of varying liability (age)

10.15 Coffee

10.30 Jacob Hjelmsborg/Ivan Iachine
Heritability analysis III, longitudinal data like BMI
• crossectional analysis for twin research paper
• truly longitudinal analysisMx scripts
• other software
• operational phenotypes to be used for linkage and association analysis

11.15 Hein Putter/Jeremy Lebrec/Hans van Houwelingen
Selection of informative pairs for linkage analysis
• theoretical model based on the variance components model
• power considerations for common multi-factorial diseases
• inclusion of parents and other sibs
• recommendations for linkage study for height
• further consequences for Genomeutwin project

12.00 Lunch

13.00 Pieter Wijngaarden
Quality control for genome-wind marker scan
• control at the laboratory level
• check at the sibpair/family level
• rejection of unreliable markers

13.30 Hein Putter/ Hans van Houwelingen
Linkage analysis of marker data
• analysis for random sample
• models and methods
• analysis for selected sample
• regressing genotype on phenotype
• robustification (down-weighting outliers)
• advanced analysis (multiple loci, heterogeneity, multi-variate phenotype, accounting for genotyping error and uncertainty)

14.15 Markus Perola
SNP studies I, design
• selection of genes and SNP
• quality control
• selection of individuals (+ parents) to be genotyped

14.45 Riika Kilpikari
SNP studies II, analysis
• haplotype construction
• association analysis: estimating haplotype relative risks
• advanced analysis (multiple loci, heterogeneity, multi-variate phenotype)

15.30 Farewell, Coffee