An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation

@article{Coffey2003AnAO,
  title={An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation},
  author={Christopher S. Coffey and Patricia R. Hebert and Marylyn DeRiggi Ritchie and Harlan M. Krumholz and J. Michael Gaziano and Paul M. Ridker and Nancy J. Brown and Douglas E. Vaughan and Jason H. Moore},
  journal={BMC Bioinformatics},
  year={2003},
  volume={5},
  pages={49 - 49}
}
To examine interactions among the angiotensin converting enzyme (ACE) insertion/deletion, plasminogen activator inhibitor-1 (PAI-1) 4G/5G, and tissue plasminogen activator (t-PA) insertion/deletion gene polymorphisms on risk of myocardial infarction using data from 343 matched case-control pairs from the Physicians Health Study. We examined the data using both conditional logistic regression and the multifactor dimensionality reduction (MDR) method. One advantage of the MDR method is that it… CONTINUE READING

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