Haseman–Elston regression
In statistical genetics, Haseman–Elston regression is a form of statistical regression used for linkage analysis of quantitative traits. It was first developed by Joseph K. Haseman and Robert C. Elston in 1972. In 2000, Elston et al. proposed a "revisited", extended form of Haseman–Elston regression. Since then, further extensions to the "revisited" form of HE regression have been proposed. According to one critic, HE regression "...seems a rusty weapon in the genomics analysis armory of the GWAS era. This is because the HE regression relies on relatedness measured on IBD but not identity by state."
