Haseman–Elston regression

In statistical genetics, Haseman–Elston (HE) 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.[1] In 2000, Elston et al. proposed a "revisited", extended form of Haseman–Elston regression.[2] Since then, further extensions to the "revisited" form of HE regression have been proposed.[3][4][5] 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 (IBS)."[6]

References
  1. Haseman, J. K.; Elston, R. C. (March 1972). "The investigation of linkage between a quantitative trait and a marker locus". Behavior Genetics. 2 (1): 3–19. doi:10.1007/BF01066731. ISSN 0001-8244. PMID 4157472.
  2. Elston, Robert C.; Buxbaum, Sarah; Jacobs, Kevin B.; Olson, Jane M. (2000). "Haseman and Elston revisited". Genetic Epidemiology (in French). 19 (1): 1–17. doi:10.1002/1098-2272(200007)19:1<1::AID-GEPI1>3.0.CO;2-E. ISSN 1098-2272. PMID 10861893.
  3. Mirea, Lucia; Bull, Shelley B; Stafford, James (2003). "Comparison of Haseman–Elston regression analyses using single, summary, and longitudinal measures of systolic blood pressure". BMC Genetics. 4 (Suppl 1): S23. doi:10.1186/1471-2156-4-S1-S23. PMC 1866458. PMID 14975091.
  4. Sham, P.C.; Purcell, S. (June 2001). "Equivalence between Haseman–Elston and Variance-Components Linkage Analyses for Sib Pairs". The American Journal of Human Genetics. 68 (6): 1527–1532. doi:10.1086/320593. PMC 1226141. PMID 11353401.
  5. Wang, Tao; Elston, Robert C. (July 2005). "Two-level Haseman–Elston regression for general pedigree data analysis". Genetic Epidemiology. 29 (1): 12–22. doi:10.1002/gepi.20075. ISSN 0741-0395. PMID 15838848.
  6. Chen, Guo-Bo (2014-04-30). "Estimating heritability of complex traits from genome-wide association studies using IBS-based Haseman–Elston regression". Frontiers in Genetics. 5: 107. doi:10.3389/fgene.2014.00107. ISSN 1664-8021. PMC 4012219. PMID 24817879.
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