PMID: 9544240Apr 17, 1998Paper

MHC haplotype analysis by artificial neural networks

Human Immunology
M I BellgardR L Dawkins

Abstract

Conventional matching is based on numbers of alleles shared between donor and recipient. This approach, however, ignores the degree of relationship between alleles and haplotypes, and therefore the actual degree of difference. To address this problem, we have compared family members using a block matching technique which reflects differences in genomic sequences. All parents and siblings had been genotyped using conventional MHC typing so that haplotypes could be assigned and relatives could be classified as sharing 0, 1 or 2 haplotypes. We trained an Artificial Neural Network (ANN) with subjects from 6 families (85 comparisons) to distinguish between relatives. Using the outputs of the ANN, we developed a score, the Histocompatibility Index (HI), as a measure of the degree of difference. Subjects from a further 3 families (106 profile comparisons) were tested. The HI score for each comparison was plotted. We show that the HI score is trimodal allowing the definition of three populations corresponding to approximately 0, 1 or 2 haplotype sharing. The means and standard deviations of the three populations were found. As expected, comparisons between family members sharing 2 haplotypes resulted in high HI scores with one exceptio...Continue Reading

References

Aug 1, 1992·Human Immunology·M A Degli-EspostiR L Dawkins
Jan 26, 1989·The New England Journal of Medicine·C AnasettiE Mickelson
Apr 1, 1994·Annals of Surgery·H R DoyleJ J Fung
Jun 1, 1997·Immunological Reviews·J A MadrigalJ M Goldman

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Citations

Feb 23, 1999·Human Immunology·N KetheesanR L Dawkins
Mar 11, 2000·Current Opinion in Immunology·A Sette, G T Nepom
May 18, 1999·The Journal of Heart and Lung Transplantation : the Official Publication of the International Society for Heart Transplantation·N KetheesanR L Dawkins
Jan 11, 2013·Open Biology·Atanas Patronov, Irini Doytchinova
May 19, 2001·Electrophoresis·J Drábek

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