## Abstract Two susceptibility genes, in linkage disequilibrium with alleles of the markers D1G31 and D5G23, have been identified for the disease in the simulated data set of Problem 1. Here we apply the MASC (marker association segregation chi‐square) method to model the joint effect of these two
Testing genetic models for IDDM by the MASC method
✍ Scribed by Françoise Clerget-Darpoux; Marie-Claude Babron
- Publisher
- John Wiley and Sons
- Year
- 1989
- Tongue
- English
- Weight
- 389 KB
- Volume
- 6
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
✦ Synopsis
The MASC method has been applied to the GAWS data. The method uses the simultaneous information on association and segregation of the HLA marker with the disease and the segregation of the HLA marker in affected families. It also takes into account the differential risk for parents of a patient, as well as the different HLA haplotype sharing, according to the HLA genotype of the patient. The goodness of fit of several genetic models has been tested. The observed data are not compatible with a two-allele, one-locus model, but they fit a three-allele, one-locus model and a complementation two-locus model if additional familial correlation is allowed.
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