Human geneticists have been extremely successful in the past decade in mapping rare disease genes. For common diseases with a substantial genetic component, the payoff for human health is larger, but the mapping problems are harder. There is a need for robust statistical techniques that require minimal assumptions about the mode of inheritance of the disease studied. The affected-pedigree-member APM of linkage analysis makes virtually no assumptions about disease transmission except that it is independent of marker transmission in a pedigree. We discuss here an extension of the APM method from single markers to multiple closely linked markers. This extension should improve the power of the APM method to detect linkage.
This article is from 'Computing Science and Statistics: Proceedings of the Symposium on Interface Critical Applications of Scientific Computing (23rd): Biology, Engineering, Medicine, Speech Held in Seattle, Washington on 21-24 April 1991,' AD-A252 938, p386-391.