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  • Type 1 (insulin-dependent) diabetes  (2)
  • Back propagation  (1)
  • DNA adducts  (1)
  • 1
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Mutation Research/Environmental Mutagenesis and Related Subjects 292 (1993), S. 113-122 
    ISSN: 0165-1161
    Keywords: Antibody ; DNA ; DNA adducts ; ELISA ; ^3^2P-postlabelling analysis ; anti-Benzo[a]pyrene-diol-epoxide-DNA antibody analysis
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Medicine
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1432-0428
    Keywords: Type 1 (insulin-dependent) diabetes ; HLA-DQ ; racial studies
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary Type 1 (insulin-dependent) diabetic patients and control subjects of Afro-Caribbean Negroid racial origin were investigated by serological HLA-DR-typing and restriction fragment length polymorphism analysis using DNA probes corresponding to the DQα, DQβ and DRβ chain genes. Combined analysis indicated that four DR antigens are positively associated with the condition in Negroid subjects — DR3, 4, 7 and w9. DR3 and 4 are also associated in Caucasians, but the relative risk for DR3 is lower in Negroid subjects. The DR7 association is specific for the Negroid race, and DRw9 is only weakly associated in Caucasoid subjects. Restriction fragment length polymorphism analysis demonstrated a DQβ restriction pattern in Negroid subjects which is absent from Caucasoid subjects. This pattern was associated with DRw9 and a subset of DR7, and was markedly increased in frequency in diabetic patients compared with control subjects (48.7% vs 10.4%, respectively; P〈10−4). In the absence of this pattern, DR7 showed no positive association. DR3 in Negroid subjects was associated with two distinct DQα-DQβ patterns, only one of which was positively associated with diabetes. A DQβ pattern, in linkage disequilibrium with different DR antigens in different races, conferred a consistent protective effect against the development of Type 1 diabetes. Trans-racial genetic analysis thus supports a primary role for DQ in susceptibility to Type 1 diabetes.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1432-0428
    Keywords: Trans-racial studies ; North Indians ; gene probing ; HLA-DQ ; Type 1 (insulin-dependent) diabetes
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary Trans-racial analysis of disease associations has improved mapping of MHC-linked susceptibility to Type 1 (insulin-dependent) diabetes mellitus. In this study the contributions of the MHC class II DQA1 and DQB1 genes were investigated. Sequence-specific oligonucleotide gene probing in Type 1 diabetic and control subjects of North Indian origin supported the DQw1.18 allele of the DQB1 gene as a determinant of inherited protection against Type 1 diabetes (RR=0.12, p c〈0.05). The A3 allele of the DQA1 gene was positively associated with the disease, (RR=3.6, p c〈0.05), as was the DQw2 allele of the DQB1 gene (RR=4.6, p c〈0.01). Trans-racial comparison of these disease associations indicates that DQ alleles may directly determine an element of inherited susceptibility to Type 1 diabetes.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Neural computing & applications 5 (1997), S. 224-229 
    ISSN: 1433-3058
    Keywords: Kohonen feature map ; Class discriminants ; Gamma test ; Residential property appraisal ; Back propagation ; Variance estimation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract A number of published studies have investigated the application of neural network technology to residential property appraisal. The majority of these studies have concentrated on homogeneous areas (that is areas where properties are subject to the same environment and locational factors). This is generally done to restrict the data set to one local sub- market. However, the models created are specialised and not locationally portable. This paper presents a methodology, which builds on research reported by James [1], in which a Kohonen map is used to uncover sub-markets within a large data set that are subsequently independently used to train a series of back-propagation networks. (The paper also introduces a novel boundary detection algorithm for a Kohonen self organising map.) The study concludes that by modelling possible sub-markets an acceptable accuracy over a heterogeneous area can be achieved. The work presented in this paper is funded via a Realising Our Potential Award under the auspices of the ESRC.
    Type of Medium: Electronic Resource
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