Regression-based linkage analysis methods

Regression-based methods of model-free linkage analysis offer a valuable framework for mapping both quantitative and qualitative traits. Beginning with the method proposed by Haseman and Elston,1 these methods have been widely used in practice because of their simplicity and robustness. Furthermore, the newer methods can utilize full information from trait values, and they are applicable to any type of pedigree data. With the availability of the denser markers and appropriate sampling, these methods give hope that they may play an important role in mapping complex genetic traits. The information yielded by such an analysis can guide and facilitate the design and result inference of further association studies.