Summary of contributions to GAW Group 12: multivariate methods
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Updated: Aug 14, 2026

Basics of Multivariate Analysis in Neuroimaging Data
Published on: July 24, 2010
Mariza de Andrade1, Nancy R Mendell
1Division of Biostatistics, Department of Health Science Research, Mayo Clinic, Rochester, Minnesota 55905, USA. mandrade@mayo.edu
Abstract:
Here we summarize the contributions to Group 12 of Genetic Analysis Workshop (GAW) 14, held in Noordwijkerhout, The Netherlands. The theme of this group, multivariate methods, covered a broad range of statistical applications. Most of the contributors considered Problem 1 of the GAW. However, one paper considered the bivariate analysis of two binary phenotypes generated by the simulated data in Problem 2. Some contributors focused on statistical issues involved in considering multiple variables, and others on extensions to the variance-components methodology for analysis of quantitative traits. Applications to the Collaborative Study on the Genetics of Alcoholism data identified a single-nucleotide polymorphism (SNP) on chromosome 4 associated with the ttth1-ttth4 phenotypes, and replicated previous findings of linkage on chromosome 4 for alcohol consumption, using microsatellite and SNP data.
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