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On a test of non‐random segregation under linkage for autosomal recessive diseases
Author(s) -
Pal Nabendu,
Majumder Partha P.
Publication year - 1990
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780090510
Subject(s) - test statistic , null distribution , mathematics , null hypothesis , statistic , statistics
To test the null hypothesis of random segregation of marker haplotypes from an unaffected parent to affected offspring for a one‐locus autosomal recessive disease, Majumder proposed a test statistic which was shown to be locally most powerful against the alternative hypothesis of non‐random segregation due to linkage between the disease and marker loci. The test procedure relied on a chi‐squared approximation to the null distribution of the test statistic. In the present study, we show that the chi‐squared approximation is poor for most practical situations and derive the exact null distribution of a function of the test statistic. We illustrate the method using published data on tuberculoid leprosy and HLA. We show that the test procedure is invariant, and extend the method to the case of a two‐locus recessive disease.

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