1. A computer based method for pangenetic recommendation of consumer purchasable items for a user, comprising: a) receiving a signal indicative of user interest in a consumer purchasable item or a consumer purchasable item category; b) accessing a pangenetic profile associated with the user, the pangenetic profile comprising at least one genetic or epigenetic attribute; c) correlating prior purchases of consumer purchases items of a set individuals with pangenetic profiles of the set of individuals to create statistical correlations between the consumer purchasable items and pangenetic attributes of the set of individuals; d) determining, based on the correlations of the step c), consumer purchasable items preferred by a subset of individuals with pangenetic attributes correlated to pangenetic attributes of the user; and e) transmitting as output a listing of at least a portion of the consumer purchasable items preferred by the subset of individuals with pangenetic attributes correlated to pangenetic attributes of the user to indicate recommended consumer purchasable items for the user, wherein the listing is a rank listing, and wherein the rank of each consumer purchasable item in the rank listing is based on strength of the correlations of the pangenetic attributes of the subset of individuals with the pangenetic attributes of the user, wherein the portion of the list transmitted as output consists of the consumer purchasable items having a rank within a range defined by at least one predetermined threshold applied to rank.