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The genetic susceptibility to insulin-dependent diabetes mellitus: Combined segregation and linkage analysis

โœ Scribed by Dr. A. Green; A. Svejgaard; P. Platz; L. P. Ryder; B. K. Jakobsen; N. E. Morton; C. J. Maclean; D. C. Rao


Publisher
John Wiley and Sons
Year
1985
Tongue
English
Weight
933 KB
Volume
2
Category
Article
ISSN
0741-0395

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โœฆ Synopsis


We report a combined segregation and linkage analysis of a Danish sample of 2 16 insulin-dependent diabetes mellitus (IDDM) nuclear families: of these 2 16, twenty multiplex families were haplotyped regarding HLA-DR and -B markers. The analysis was conducted using the computer program COMBIN, which includes a modifier to absorb family resemblance that is additional to the effect of the major locus that is assumed linked to a marker locus, eg, within the HLA region. The initial analysis could clearly reject a dominant major locus but could not discriminate between other models with or without modifier. However, after adding supplementary information on population associations between HLA and IDDM together with the identity-by-descent (IBD) distribution to the analysis, a final model was identified. This invokes an additive major locus, linked to HLA with recombination not significantly different from 0, a disease gene frequency of 0.217, plus a dominant modifier. From this model it can be predicted that about 0.15% of the general population is at 100% risk of IDDM, about 5% is at intermediate risk (approximately lo%), while the remaining population has a risk of 0. The model predicts recurrence risks compatible with empirically estimated values. Particularly strong, positive haplotype associations were found for the DR3,B8, DR3,BI8, and DR4,B15 haplotypes, but detailed analyses showed that neither these particular haplotypes nor the DR3 and DR4 haplotypes in general could entirely explain the HLA-associated susceptibility. The DR2 haplotypes showed a strong negative association. The results are discusssed in the light of available data on the epidemiology of IDDM in order to provide a framework for further epidemiological studies.


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