Haseman Elston Regression in Ascertained Samples: Importance of Dependent Variable and Mean Correction Factor Selection

摘要

ObjectiveOne of the first tools for performing linkage analysis, Haseman-Elston regression (HE), has been successfully used to identify linkages to several disease traits. A recent explosion in extensions of HE leaves one faced with the task of choosing a flavor of HE best suited for a given situation. This paper puts this dilemma into perspective and proposes a modification to HE for highly ascertained samples (BLUP-PM).