1. A method for gene mapping from chromosome and phenotype data, which utilizes linkage disequilibrium between genetic markers m i, which are polymorphic nucleic acid or protein sequences or strings of single-nucleotide polymorphisms deriving from a chromosomal region, wherein i) all marker patterns P that satisfy a pattern evaluation function e(P) are searched from the data, wherein a. the marker patterns are expressions involving the genetic markers and their alleles and zero or more of the following: individual covariates, environmental variables and auxiliary phenotypes; and b. the pattern evaluation function e(P) involves some statistical measure of the association between the marker pattern P and the phenotype being studied, ii) each marker m i of the data is scored by a marker score s(m i ), which is a function of the set S i defined as the set of marker patterns overlapping the marker mi and satisfying the pattern evaluation function e as defined in step (i), and iii) the location of the gene is predicted as a function of the scores s(m i ) of all the markers m i in the data and is based on maximizing the score if the scoring function is designed to give higher scores closer to the gene, and on minimizing the score if the scoring function is designed to give lower scores closer to the gene, as is the case for instance when the scores s(m i ) are marker-wise p values.