Dr. Bailey-Wilson and her staff have collaborated with Dr. Jim Malley of CIT, Dr. Dan Naiman of Johns Hopkins University, Dr. Diptasri Mandal of Louisiana State University, Dr. Agnes Baffoe-Bonnie of Fox Chase Cancer Center and Dr. Karen Weissbecker of Tulane University on analyses of a computer-simulated dataset. These simulated data consisted of families that had demographic characteristics and traits similar to those in the Framingham Heart Study. We applied our new method of importance sampling to a linkage analysis of these data to adjust for the multiple testing problem inherent in a genome wide scan linkage study. We showed that this method does not have an inflated Type I error rate and that it compares favorably with other existing methods. These results were presented at the Genetic Analysis Workshop 13 and a paper is in press. In addition, Dr. Bailey-Wilson served as Editor of one of the sections of the Proceedings of this workshop.
| Klein, Alison P; Kovac, Ilija; Sorant, Alexa J M et al. (2003) Importance sampling method of correction for multiple testing in affected sib-pair linkage analysis. BMC Genet 4 Suppl 1:S73 |
