1. A computer based method for predisposition prediction wherein a relative likelihood of medical disease predisposition for an individual may be determined based on datasets containing predetermined association of attributes combining pangenetic and non-pangenetic attributes and combinations thereof with said disease, said method performed on a computer including a user interface, a processor, a memory, and a display, comprising: a) said computer receiving a medical disease associated query attribute via said user interface into said processor; b) said processor accessing an attribute profile of said individual contained in said memory; c) said processor accessing a stored dataset in said memory containing said predetermined attribute combinations combining pangenetic and non-pangenetic attributes and statistical results that indicate the strength of association of each of the attribute combinations in said stored dataset, said statistical association having been created by comparing previously submitted and assessed attribute profiles of individuals with the medical disease query attribute and comparing the submitted attribute profiles with attributes profiles of those not having the medical disease query, so as to minimize the impact of shared attribute combinations; d) identifying attribute combinations from the stored dataset of predetermined attribute combinations associated with said medical disease that occur in the attribute profile of said individual by comparing the attribute combinations occurring in both the attribute profile of the individual and in the dataset attribute profiles; and e) generating a dataset ranked output of one or more predisposition predictions for the individual based on the identified attribute combinations appearing in both the predetermined dataset and in the attribute profile of said individual and the statistical results indicating a relative predisposition of said individual to acquire said disease.