Computational analysis of gene-gene interactions using multifactor dimensionality reduction

@article{Moore2004ComputationalAO,
  title={Computational analysis of gene-gene interactions using multifactor dimensionality reduction},
  author={Jason H. Moore},
  journal={Expert Review of Molecular Diagnostics},
  year={2004},
  volume={4},
  pages={795 - 803}
}
  • J. Moore
  • Published 1 November 2004
  • Biology
  • Expert Review of Molecular Diagnostics
Understanding the relationship between DNA sequence variations and biologic traits is expected to improve the diagnosis, prevention and treatment of common human diseases. Success in characterizing genetic architecture will depend on our ability to address nonlinearities in the genotype-to-phenotype mapping relationship as a result of gene–gene interactions, or epistasis. This review addresses the challenges associated with the detection and characterization of epistasis. A novel strategy known… 

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Analysis of Gene‐Gene Interactions

TLDR
This unit begins with an historical overview of the concept of epistasis and the challenges inherent in the identification of potential gene‐gene interactions, and reviews statistical and machine learning methods for discovering epistasis in the context of genetic studies of quantitative and categorical traits.

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TLDR
Major issues and questions arising from genome-wide association analysis of large-scale SNP data are described and a combination of approaches with the aim of balancing their specific strengths may be the optimal approach to investigate gene × gene interactions in human data.

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...

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