A statistically robust variance-components approach for quantitative trait linkage analysis

J. Wang, R. Guerra, J. Cohen

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Previously we showed that a statistically robust version of the sib-pair method greatly increased power to detect linkage in the presence of outliers. In this paper we report on M-estimation to accommodate outliers in the variance-components approach to linkage analysis developed by Amos. Simulations show that in the presence of outliers the robust variance-components approach provides substantially greater power, more precise estimation of heritabilities, and better false-positive rates than the original Gaussian based approach. In the absence of outliers the performance of the robust variance-components approach is similar to that of the Gaussian based approach. For illustration we apply the method to two well characterized lipoprotein systems.

Original languageEnglish (US)
Pages (from-to)249-262
Number of pages14
JournalAnnals of Human Genetics
Volume63
Issue number3
DOIs
StatePublished - May 1999

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Lipoproteins

ASJC Scopus subject areas

  • Genetics(clinical)
  • Genetics

Cite this

A statistically robust variance-components approach for quantitative trait linkage analysis. / Wang, J.; Guerra, R.; Cohen, J.

In: Annals of Human Genetics, Vol. 63, No. 3, 05.1999, p. 249-262.

Research output: Contribution to journalArticle

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