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A likelihood ratio test for detecting patterns of disease-marker association

Published online by Cambridge University Press:  01 July 1997

A. P. MORRIS
Affiliation:
University of Reading, Department of Applied Statistics, Harry Pitt Building, Whiteknights Road, P.O. Box 240, Reading RG6 2FN
J. C. WHITTAKER
Affiliation:
University of Reading, Department of Applied Statistics, Harry Pitt Building, Whiteknights Road, P.O. Box 240, Reading RG6 2FN
R. N. CURNOW
Affiliation:
University of Reading, Department of Applied Statistics, Harry Pitt Building, Whiteknights Road, P.O. Box 240, Reading RG6 2FN
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Abstract

A likelihood ratio test of disease-marker association is proposed, based on the observation of marker alleles transmitted from parents to affected children. The proposed association test has the advantage of identifying the population pattern of disease-marker association, differentiating between marker alleles that are positively and negatively associated with the disease. The power of the test for detecting association is evaluated and compared with three existing multi-allelic tests for some specific disease-marker association patterns. The power of the parametric tests depends crucially on the pattern of disease-marker association. An over-parameterised association model is less detrimental in terms of power than an under parameterised model.

Type
Research Article
Copyright
© University College London 1997

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