Assessing linkage of monoamine oxidase B in a genome-wide scan using a univariate variance components approach

J. S. Barnholtz, M. De Andrade, G. P. Page, T. M. King, L. E. Peterson, C. I. Amos

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

We report results when one alcoholism related quantitative trait, monoamine oxidase B (MAOB), is analyzed by the variance components approach for linkage [Amos, 1994; Amos et al., 1996] using the Collaborative Study on the Genetics of Alcoholism data set provided for the Genetic Analysis Workshop 11. We used two different covariate models, one with age at interview, sex, ethnicity, and smoking status and the other with age at interview, sex, and ethnicity. The univariate analysis showed 24 markers on four different chromosomes (1, 4, 9, and 12) to have evidence for linkage with the quantitative trait (single-point and multipoint linkage). However, when outliers for MAOB were removed, the significant evidence for linkage disappeared.

Original languageEnglish (US)
Pages (from-to)S49-S54
JournalGenetic epidemiology
Volume17
Issue numberSUPPL. 1
DOIs
StatePublished - 1999

Keywords

  • Collaborative Study on the Genetics of Alcoholism
  • Outliers
  • Quantitative trait

ASJC Scopus subject areas

  • Epidemiology
  • Genetics(clinical)

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