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COVARIATE-DEPENDENT AGE-AT-ONSET DISTRIBUTIONS FOR HUNTINGTON DISEASE
Author(s): KRAWCZAK M, BOCKEL B, SANDKUIJL L, THIES U, FENTON I, HARPER PS
Source: AMERICAN JOURNAL OF HUMAN GENETICS    Volume: 49    Issue: 4    Pages: 735-745    Published: OCT 1991  
Times Cited: 14     References: 26     
Abstract: A combined logistic regression and life-table analysis is presented on age-at-onset data for Huntington disease. Covariates included in the analysis were sex of the at-risk individual, parental age at onset, and sex of transmitting parent. Parental age at onset and parental sex were found to be significant covariates for age at onset in the offspring, and the appropriate logistic regression functions are calculated by maximum likelihood methods. These regression functions permit a more precise evaluation of carrier risks and likelihoods than hitherto was possible by simple computational means. We further introduce a novel method to account for sibship correlations in the significance assessment, using log-likelihood differences between different models.
Document Type: Article
Language: English
Reprint Address: KRAWCZAK, M (reprint author), INST HUMAN GENET, KONSTANTY GUTSCHOW STR 8, W-3000 HANNOVER 61, GERMANY
Addresses:
1. INST MED GENET, CARDIFF, WALES
Publisher: UNIV CHICAGO PRESS, 5720 S WOODLAWN AVE, CHICAGO, IL 60637
Subject Category: Genetics & Heredity
IDS Number: GG665
ISSN: 0002-9297
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