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Gene-Gene Interactions

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Analysis of Genetic Association Studies

Part of the book series: Statistics for Biology and Health ((SBH))

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Abstract

Chapter 8 discusses gene-gene interactions. The focus is on two-locus interactions. Different genetic models are incorporated in the two-locus models. The expressions of odds ratios for the main genetic effects and the gene-gene interaction are given. A saturated logistic regression model is also studied. Different test statistics for the two-locus interaction model are discussed. Their relation to contrasting log-odds ratios and contrasting LD measures are given. Their relation to the log-linear model is also discussed. For higher order gene-gene interactions, the multifactor dimensionality reduction method and logic regression are briefly discussed.

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Authors and Affiliations

  1. Bethesda, MD, USA

    Gang Zheng

  2. School of Management, Dept. Statistics & Finance, University of Science & Technology of China, Hefei, Anhui, People’s Republic of China

    Yaning Yang

  3. School of Medicine, Dept. Epidemiology & Biostatistics, Case Western Reserve University, Cleveland, OH, USA

    Xiaofeng Zhu & Robert C. Elston

Authors
  1. Gang Zheng
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  2. Yaning Yang
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  3. Xiaofeng Zhu
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  4. Robert C. Elston
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Correspondence to Gang Zheng .

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© 2012 Springer Science+Business Media, LLC

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Zheng, G., Yang, Y., Zhu, X., Elston, R.C. (2012). Gene-Gene Interactions. In: Analysis of Genetic Association Studies. Statistics for Biology and Health. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-2245-7_8

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