Regression-based linkage analysis methods

Tao Wang, Robert C. Elston

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Regression-based methods of model-free linkage analysis offer a valuable framework for mapping both quantitative and qualitative traits. Beginning with the method proposed by Haseman and Elston,1 these methods have been widely used in practice because of their simplicity and robustness. Furthermore, the newer methods can utilize full information from trait values, and they are applicable to any type of pedigree data. With the availability of the denser markers and appropriate sampling, these methods give hope that they may play an important role in mapping complex genetic traits. The information yielded by such an analysis can guide and facilitate the design and result inference of further association studies.

Original languageEnglish (US)
Title of host publicationCurrent Topics in Human Genetics: Studies in Complex Diseases
PublisherWorld Scientific Publishing Co.
Pages1-14
Number of pages14
ISBN (Print)9789812790811, 9812704728, 9789812704726
DOIs
Publication statusPublished - Jan 1 2007
Externally publishedYes

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ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Wang, T., & Elston, R. C. (2007). Regression-based linkage analysis methods. In Current Topics in Human Genetics: Studies in Complex Diseases (pp. 1-14). World Scientific Publishing Co.. https://doi.org/10.1142/9789812790811_0001