Evaluation of Potential Power Gain with Imputed Genotypes in Genome-Wide Association Studies

R. Cardona, Jairo Arbey Rodríguez Mártinez, F. Fajardo · Human Heredity · 2009

Summary

It is shown that the incorporation of imputed genotypes can lead to a substantial power gain for common disease variants if the training sample is large enough and that full genome SNP panels will lead to the identification of additional disease variants in the future.

Type: article
Published: 2009-04-01
Cited by: 4
References: 26
DOI: https://doi.org/10.1159/000210446
PubMed: https://pubmed.ncbi.nlm.nih.gov/19339783/
OpenAlex: https://openalex.org/W19339783
Semantic Scholar: https://api.semanticscholar.org/CorpusID:27866363

Keywords

Condensed matter physics, Density of states, Lattice constant, Diamond, Fermi level

References

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Cited by

SNP imputation bias reduces effect size determinationPouya Khankhanian, Lennox Din, Stacy J. Caillier — 2015
The relationship between imputation error and statistical power in genetic association studies in diverse populations.Lucy Huang, Chaolong Wang, Noah A. Rosenberg — 2009
A Coalescent Model for Genotype ImputationEthan M. Jewett, Matthew Zawistowski, Noah A. Rosenberg — 2012
Statistical Methods and Models for Modern Genetic AnalysisM. Zawistowski — 2011

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