Literature DB >> 12931052

Information perspectives of the Haseman-Elston method.

Fred A Wright1.   

Abstract

The Haseman-Elston regression approach can be viewed as a special case in a larger framework in which independent sibling pairs are ascertained, perhaps based on their phenotypes. Using likelihood arguments in an idealized setting, expressions are obtained for the inherent linkage information contained in the phenotype distributions. The results provide insight and analytic results that apply to general phenotype distributions and can be used to judge the effects of various data transformations and selective sampling of extreme phenotypes. Copyright 2003 S. Karger AG, Basel

Mesh:

Year:  2003        PMID: 12931052     DOI: 10.1159/000072318

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  2 in total

1.  A latent class model for testing for linkage and classifying families when the sample may contain segregating and non-segregating families.

Authors:  Laurel A Bastone; Richard S Spielman; Xingmei Wang; Thomas R Ten Have; Mary E Putt
Journal:  Hum Hered       Date:  2010-06-17       Impact factor: 0.444

2.  Haseman-Elston regression in ascertained samples: importance of dependent variable and mean correction factor selection.

Authors:  Ritwik Sinha; Courtney Gray-McGuire
Journal:  Hum Hered       Date:  2007-09-26       Impact factor: 0.444

  2 in total

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