The challenge of detecting epistasis (G x G interactions): Genetic analysis workshop 16

Ping An, Odity Mukherjee, Pritam Chanda, Li Yao, Corinne D. Engelman, Chien Hsun Huang, Tian Zheng, Ilija P. Kovac, Marie Pierre Dubé, Xueying Liang, Jia Li, Mariza De Andrade, Robert Culverhouse, Doerthe Malzahn, Alisa K. Manning, Geraldine M. Clarke, Jeesun Jung, Michael A. Province

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Interest is increasing in epistasis as a possible source of the unexplained variance missed by genome-wide association studies. The Genetic Analysis Workshop 16 Group 9 participants evaluated a wide variety of classical and novel analytical methods for detecting epistasis, in both the statistical and machine learning paradigms, applied to both real and simulated data. Because the magnitude of epistasis is clearly relative to scale of penetrance, and therefore to some extent, to the choice of model framework, it is not surprising that strong interactions under one model might be minimized or even disappear entirely under a different modeling framework.

Original languageEnglish (US)
JournalGenetic Epidemiology
Volume33
Issue numberSUPPL. 1
DOIs
StatePublished - 2009

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Penetrance
Genome-Wide Association Study
Education
Machine Learning

Keywords

  • Generalized linear model
  • Machine learning methods

ASJC Scopus subject areas

  • Genetics(clinical)
  • Epidemiology

Cite this

An, P., Mukherjee, O., Chanda, P., Yao, L., Engelman, C. D., Huang, C. H., ... Province, M. A. (2009). The challenge of detecting epistasis (G x G interactions): Genetic analysis workshop 16. Genetic Epidemiology, 33(SUPPL. 1). https://doi.org/10.1002/gepi.20474

The challenge of detecting epistasis (G x G interactions) : Genetic analysis workshop 16. / An, Ping; Mukherjee, Odity; Chanda, Pritam; Yao, Li; Engelman, Corinne D.; Huang, Chien Hsun; Zheng, Tian; Kovac, Ilija P.; Dubé, Marie Pierre; Liang, Xueying; Li, Jia; De Andrade, Mariza; Culverhouse, Robert; Malzahn, Doerthe; Manning, Alisa K.; Clarke, Geraldine M.; Jung, Jeesun; Province, Michael A.

In: Genetic Epidemiology, Vol. 33, No. SUPPL. 1, 2009.

Research output: Contribution to journalArticle

An, P, Mukherjee, O, Chanda, P, Yao, L, Engelman, CD, Huang, CH, Zheng, T, Kovac, IP, Dubé, MP, Liang, X, Li, J, De Andrade, M, Culverhouse, R, Malzahn, D, Manning, AK, Clarke, GM, Jung, J & Province, MA 2009, 'The challenge of detecting epistasis (G x G interactions): Genetic analysis workshop 16', Genetic Epidemiology, vol. 33, no. SUPPL. 1. https://doi.org/10.1002/gepi.20474
An, Ping ; Mukherjee, Odity ; Chanda, Pritam ; Yao, Li ; Engelman, Corinne D. ; Huang, Chien Hsun ; Zheng, Tian ; Kovac, Ilija P. ; Dubé, Marie Pierre ; Liang, Xueying ; Li, Jia ; De Andrade, Mariza ; Culverhouse, Robert ; Malzahn, Doerthe ; Manning, Alisa K. ; Clarke, Geraldine M. ; Jung, Jeesun ; Province, Michael A. / The challenge of detecting epistasis (G x G interactions) : Genetic analysis workshop 16. In: Genetic Epidemiology. 2009 ; Vol. 33, No. SUPPL. 1.
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