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Titolo:
A COMPARISON OF 3 STATISTICAL-MODELS FOR IDDM ASSOCIATIONS WITH HLA
Autore:
GRAHAM J; KOCKUM I; BRESLOW N; LERNMARK A; HOLMBERG E;
Indirizzi:
UNIV WASHINGTON,DEPT BIOSTAT,BOX 357232 SEATTLE WA 98195 KAROLINSKA INST,KAROLINSKA HOSP,DEPT MOLEC MED S-10401 STOCKHOLM SWEDEN UMEA UNIV,DEPT PEDIAT UMEA SWEDEN UNIV WASHINGTON,DEPT MED SEATTLE WA 98195
Titolo Testata:
Tissue antigens
fascicolo: 1, volume: 48, anno: 1996,
pagine: 1 - 14
SICI:
0001-2815(1996)48:1<1:ACO3SF>2.0.ZU;2-X
Fonte:
ISI
Lingua:
ENG
Soggetto:
DEPENDENT DIABETES-MELLITUS; DQ-BETA-CHAIN; ASPARTIC-ACID; JAPANESE SUBJECTS; SUSCEPTIBILITY; GENETICS; FAMILIES; HETERODIMERS; POPULATION; ALLELES;
Keywords:
DIABETES MELLITUS, INSULIN-DEPENDENT; DISEASE SUSCEPTIBILITY; GENETIC MARKER; HAPLOTYPE; HLA-DQ ANTIGEN; LIKELIHOOD FUNCTION; MODEL, STATISTICAL;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
44
Recensione:
Indirizzi per estratti:
Citazione:
J. Graham et al., "A COMPARISON OF 3 STATISTICAL-MODELS FOR IDDM ASSOCIATIONS WITH HLA", Tissue antigens, 48(1), 1996, pp. 1-14

Abstract

The association between HLA-DQ haplotypes and insulin-dependent diabetes mellitus (IDDM) was studied in 48 children from 44 families ascertained from the high incidence area around Umea, Sweden. Numerous hypotheses have been proposed to explain associations between HLA and IDDM,but comparisons of statistical models based on these hypotheses have not been attempted. The aim of the present study was to compare the goodness-of-fit and predictive abilities among different statistical models. A likelihood-based analysis rather than a conventional analysis based on contingency tables was therefore adopted, We first used parental haplotype information in a conditional likelihood analysis (1) and then compared this analysis with that of an unaffected control group which used information on geographically matched controls. Under the analysis conditional on parental haplotype, a statistical model motivated by the hypothesis that the entire Do heterodimer is involved in IDDMpathogenesis fit the data, significantly better and had greater predictive ability than either a model motivated by the explanation that anIDDM gene is Linked to DQB1 or that the DQB1 chain itself is involvedin IDDM pathogenesis, or a model arising from the hypothesis that single amino acids at codon 57 of DQB1 and codon 52 of DQA1, respectively, confer susceptibility. Under the case-control analysis, the identityof the best-fitting or most predictive statistical model was not as clear, although both approaches to analyzing risk suggested that the single-amino-acids model had significantly poorer fit compared to the remaining two models.

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Documento generato il 01/12/20 alle ore 22:35:33