Volume 17, Issue S1 pp. S49-S54
I. Problem 1: Analysis of Data from the Collaborative Study on the Genetics of Alcoholism
Free Access

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

J.S. Barnholtz MD

Corresponding Author

J.S. Barnholtz MD

Department of Biometry, The University of Texas School of Public Health, Houston, Texas

Anderson Cancer Center, Department of Epidemiology, 1515 Holcombe Blvd., Box 189, Houston, TX 77030.Search for more papers by this author
M. de Andrade

M. de Andrade

Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston Texas

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G.P. Page

G.P. Page

Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston Texas

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T.M. King

T.M. King

Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston Texas

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L.E. Peterson

L.E. Peterson

Department of Medicine, Baylor College of Medicine, Houston Texas

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C.I. Amos

C.I. Amos

Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston Texas

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First published: 21 November 2013
Citations: 12

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.

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