In statistical genetics, Haseman–Elston (HE) regression is a statistical regression originally proposed for linkage analysis of quantitative traits in sibling pairs.
[1] A much earlier implementation of sib-pair linkage analysis was proposed by Lionel S. Penrose in 1935 and 1938.
In 2000, Elston et al. and colleagues introduced a "revisited" and extended form of Haseman–Elston regression.
[5][6][7] Despite its historical significance, HE regression has been described as "...a rusty weapon in the genomics analysis armory of the GWAS era."
However, adaptations of HE regression have been developed for association analysis in unrelated samples, where relatedness is measured by IBS.