Evaluation of genetic risk score models in the presence of interaction and linkage disequilibrium

@inproceedings{Che2013EvaluationOG,
  title={Evaluation of genetic risk score models in the presence of interaction and linkage disequilibrium},
  author={Ronglin Che and Alison A. Motsinger-Reif},
  booktitle={Front. Genet.},
  year={2013}
}
In the area of genetic epidemiology, genetic risk predictive modeling is becoming an important area of translational success. As an increasing number of genetic variants are successfully discovered, the use of multiple genetic variants in constructing a genetic risk score (GRS) for modeling has been widely applied using a variety of approaches. Previously, we compared the performance of a simple, additive GRS with weighted GRS approaches, but our initial simulation experiment assumed very… CONTINUE READING
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Evaluation of genetic risk score models in the presence of interaction and linkage disequilibrium

R Citation Che, AA Motsinger-Reif
2013

The success of pharmacogenomics in moving genetic association studies from bench to bedside : study design and implementation of precision medicine in the postGWAS era

M. D. Ritchie
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Estimation of effect

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