This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Every two years a Genetic Analysis Workshop (GAW) is held at which internationally reputed genetic epidemiologists analyze real and simulated data sets in order to demonstrate new methods of genetic analysis. In 2004 the real data set was the Collaborative Study on the Genetics of Alcoholism pedigree data on which a genome scan had been performed, allowing the development of methods for the discovery of genes for alcoholism and related traits using either a 400 mirosatellite map or a 6,000 SNP map. The simulated data were devised to test fine mapping by association analysis. Papers on these topics have now been published. For 2006, on which analytical work has started, there are two real datasets and one simulated dataset. The first real dataset comprises the expression of 3,554 genes on 14 3-generation CEPH Utah families (s8 offspring per sibship, ~ 14 individuals per family) for which genome-scan data are available. The second real dataset comprises family and case-control data from four internation centers studying the genetics of rheumatoid arthritis. The simulated dataset, comprising data on a total of 1.8 million sib-pairs, is a rich dataset designed to simulate rheumatoid arthritis with many special features to allow the data analyst a wide range of experimental possibil
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