12 Variance component methods for detecting complex trait loci

John Blangero, Jeff T. Williams, Laura Almasy

Research output: Contribution to journalArticle

197 Citations (Scopus)

Abstract

Variance component-based linkage analysis has become a major statistical tool for the localization and evaluation of quantitative trait loci influencing complex phenotypes. The variance component approach has many benefits-it can, for example, be used to analyze large pedigrees, and it is able to accommodate multiple loci simultaneously in a true oligogenic model. Important biological phenomena such as genotype-environment interaction and epistasis are also examined easily in a variance component framework. In this chapter, we review the basic statistical features of variance component linkage analysis, with an emphasis on its power and robustness to distributional violations.

Original languageEnglish (US)
Pages (from-to)151-181
Number of pages31
JournalAdvances in Genetics
Volume42
StatePublished - 2001
Externally publishedYes

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Biological Phenomena
Quantitative Trait Loci
Pedigree
Genotype
Phenotype

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

Cite this

Blangero, J., Williams, J. T., & Almasy, L. (2001). 12 Variance component methods for detecting complex trait loci. Advances in Genetics, 42, 151-181.

12 Variance component methods for detecting complex trait loci. / Blangero, John; Williams, Jeff T.; Almasy, Laura.

In: Advances in Genetics, Vol. 42, 2001, p. 151-181.

Research output: Contribution to journalArticle

Blangero, J, Williams, JT & Almasy, L 2001, '12 Variance component methods for detecting complex trait loci', Advances in Genetics, vol. 42, pp. 151-181.
Blangero J, Williams JT, Almasy L. 12 Variance component methods for detecting complex trait loci. Advances in Genetics. 2001;42:151-181.
Blangero, John ; Williams, Jeff T. ; Almasy, Laura. / 12 Variance component methods for detecting complex trait loci. In: Advances in Genetics. 2001 ; Vol. 42. pp. 151-181.
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