title: A likelihood ratio test for detecting patterns of disease-marker association.
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.
authors.affiliation: University of Reading, Department of Applied Statistics. A.P.Morris@reading.ac.uk
authors.forename: A P
authors.initials: AP
authors.lastname: Morris
authors.forename: J C
authors.initials: JC
authors.lastname: Whittaker
authors.forename: R N
authors.initials: RN
authors.lastname: Curnow
mesh_terms: D002648:Child; D003922:Diabetes Mellitus, Type 1 / Q000235:genetics; D030342:Genetic Diseases, Inborn / Q000235:genetics*; D005819:Genetic Markers; D006801:Humans; D016013:Likelihood Functions; D015810:Linkage Disequilibrium; D018895:Microsatellite Repeats; D008957:Models, Genetic
chemical_list: D005819:Genetic Markers