Reconstructability analysis as a tool for identifying gene-gene interactions in studies of human diseases

Stephen Shervais, Martin Zwick, Patricia Kramer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

There are a number of human diseases that are caused by the epistatic Interaction of multiple genes. Detecting these interactions with standard statistical tools is difficult, because there may be an interaction effect, but minimal or no main effect. Reconstructability analysis uses Shannon's information theory to detect relationships between variables in categorical datasets. We apply reconstructability analysis to data generated by five different models of gene-gene interaction, with heritability levels from 0.053 to 0.008, using 200 controls and 200 cases. We find that even with heritability levels as low as 0.008, and with the inclusion of 50 non-associated genes in the data-set, we can identify the interacting gene pairs with an accuracy of 80% or better.

Original languageEnglish (US)
Title of host publicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Pages2102-2106
Number of pages5
Volume3
StatePublished - 2005
EventIEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics - Waikoloa, HI, United States
Duration: Oct 10 2005Oct 12 2005

Other

OtherIEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics
CountryUnited States
CityWaikoloa, HI
Period10/10/0510/12/05

Fingerprint

Genes
Information theory

Keywords

  • Epistasis
  • Gene interaction modeling
  • Gene-gene interaction
  • Genetics
  • Information theory
  • Occam
  • Reconstructability analysis

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Shervais, S., Zwick, M., & Kramer, P. (2005). Reconstructability analysis as a tool for identifying gene-gene interactions in studies of human diseases. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (Vol. 3, pp. 2102-2106)

Reconstructability analysis as a tool for identifying gene-gene interactions in studies of human diseases. / Shervais, Stephen; Zwick, Martin; Kramer, Patricia.

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. Vol. 3 2005. p. 2102-2106.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shervais, S, Zwick, M & Kramer, P 2005, Reconstructability analysis as a tool for identifying gene-gene interactions in studies of human diseases. in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. vol. 3, pp. 2102-2106, IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics, Waikoloa, HI, United States, 10/10/05.
Shervais S, Zwick M, Kramer P. Reconstructability analysis as a tool for identifying gene-gene interactions in studies of human diseases. In Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. Vol. 3. 2005. p. 2102-2106
Shervais, Stephen ; Zwick, Martin ; Kramer, Patricia. / Reconstructability analysis as a tool for identifying gene-gene interactions in studies of human diseases. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. Vol. 3 2005. pp. 2102-2106
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