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A Monte Carlo permutation approach to choosing an affection status model for bipolar affective disorder
K L Simonsen1, N L Kaplan, E R Martin
1Department of Statistics, North Carolina State University, Raleigh 27695-8203, USA.
Abstract:
A permutation test is proposed for assessing affection status models. The test uses marker data from regions with prior evidence of linkage to susceptibility genes, and three different test statistics are examined. We applied the test to the GAW10 data and found no evidence on chromosome 18 to reject the affection status model that groups individuals diagnosed with either bipolar I, bipolar II or unipolar. The chromosome 5 data gave similar results, and further suggested that individuals diagnosed with unipolar-single episode not be included as affected. A preliminary power study suggested that one of the proposed statistics, S, is to be preferred in certain circumstances.