The detection and mapping of loci affecting quantitative traits (QTLs) of interest in human, animal, and plant populations have attracted considerable research interest for several decades. This work has mainly concentrated on the use of pedigree or family data, especially in animal and plant populations where the structure of such experimental pedigrees can easily be planned and controlled. More recently, linkage disequilibrium (LD) methods based on the study of unrelated individuals from a given population have emerged as a promising tool for refining gene location estimates. In this paper we present a new interval mapping method using the LD information, denoted as HAPim, and provide a comparison with the identity by descent (IBD) method of Meuwissen and Goddard (2000).