Multivariate analysis of complex gene expression and clinical phenotypes with genetic marker data

Joseph Beyene, David Tritchler, S. B. Bull, K. C. Cartier, G. Jonasdottir, A. T. Kraja, N. Li, N. L. Nock, E. Parkhomenko, Jonnagadda S Rao, C. M. Stein, R. Sutradhar, S. Waaijenborg, K. S. Wang, Y. Wang, P. Wolkow

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

This paper summarizes contributions to group 12 of the 15th Genetic Analysis Workshop. The papers in this group focused on multivariate methods and applications for the analysis of molecular data including genotypic data as well as gene expression microarray measurements and clinical phenotypes. A range of multivariate techniques have been employed to extract signals from the multi-feature data sets that were provided by the workshop organizers. The methods included data reduction techniques such as principal component analysis and cluster analysis; latent variable models including structural equations and item response modeling; joint multivariate modeling techniques as well as multivariate visualization tools. This summary paper categorizes and discusses individual contributions with regard to multiple classifications of multivariate methods. Given the wide variety in the data considered, the objectives of the analysis and the methods applied, direct comparison of the results of the various papers is difficult. However, the group was able to make many interesting comparisons and parallels between the various approaches. In summary, there was a consensus among authors in group 12 that the genetic research community should continue to draw experiences from other fields such as statistics, econometrics, chemometrics, computer science and linear systems theory.

Original languageEnglish (US)
JournalGenetic Epidemiology
Volume31
Issue numberSUPPL. 1
DOIs
StatePublished - Jan 1 2007
Externally publishedYes

Fingerprint

Genetic Markers
Multivariate Analysis
Phenotype
Gene Expression
Education
Systems Theory
Genetic Research
Structural Models
Principal Component Analysis
Cluster Analysis
Joints

Keywords

  • Gene expression
  • Microarrays
  • Multivariate analysis
  • Multivariate phenotypes
  • Simulated data
  • SNPs

ASJC Scopus subject areas

  • Epidemiology
  • Genetics(clinical)

Cite this

Beyene, J., Tritchler, D., Bull, S. B., Cartier, K. C., Jonasdottir, G., Kraja, A. T., ... Wolkow, P. (2007). Multivariate analysis of complex gene expression and clinical phenotypes with genetic marker data. Genetic Epidemiology, 31(SUPPL. 1). https://doi.org/10.1002/gepi.20286

Multivariate analysis of complex gene expression and clinical phenotypes with genetic marker data. / Beyene, Joseph; Tritchler, David; Bull, S. B.; Cartier, K. C.; Jonasdottir, G.; Kraja, A. T.; Li, N.; Nock, N. L.; Parkhomenko, E.; Rao, Jonnagadda S; Stein, C. M.; Sutradhar, R.; Waaijenborg, S.; Wang, K. S.; Wang, Y.; Wolkow, P.

In: Genetic Epidemiology, Vol. 31, No. SUPPL. 1, 01.01.2007.

Research output: Contribution to journalArticle

Beyene, J, Tritchler, D, Bull, SB, Cartier, KC, Jonasdottir, G, Kraja, AT, Li, N, Nock, NL, Parkhomenko, E, Rao, JS, Stein, CM, Sutradhar, R, Waaijenborg, S, Wang, KS, Wang, Y & Wolkow, P 2007, 'Multivariate analysis of complex gene expression and clinical phenotypes with genetic marker data', Genetic Epidemiology, vol. 31, no. SUPPL. 1. https://doi.org/10.1002/gepi.20286
Beyene J, Tritchler D, Bull SB, Cartier KC, Jonasdottir G, Kraja AT et al. Multivariate analysis of complex gene expression and clinical phenotypes with genetic marker data. Genetic Epidemiology. 2007 Jan 1;31(SUPPL. 1). https://doi.org/10.1002/gepi.20286
Beyene, Joseph ; Tritchler, David ; Bull, S. B. ; Cartier, K. C. ; Jonasdottir, G. ; Kraja, A. T. ; Li, N. ; Nock, N. L. ; Parkhomenko, E. ; Rao, Jonnagadda S ; Stein, C. M. ; Sutradhar, R. ; Waaijenborg, S. ; Wang, K. S. ; Wang, Y. ; Wolkow, P. / Multivariate analysis of complex gene expression and clinical phenotypes with genetic marker data. In: Genetic Epidemiology. 2007 ; Vol. 31, No. SUPPL. 1.
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