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Frontiers Media, Frontiers in Genetics, (5)

DOI: 10.3389/fgene.2014.00179

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Estimating the predictive ability of genetic risk models in simulated data based on published results from genome-wide association studies

Journal article published in 2014 by Suman Kundu, Raluca Mihaescu, Catherina M. C. Meijer, Rachel Bakker, A. Cecile J. W. Janssens ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Background: There is increasing interest in investigating genetic risk models in empirical studies, but such studies are premature when the expected predictive ability of the risk model is low. We assessed how accurately the predictive ability of genetic risk models can be estimated in simulated data that are created based on the odds ratios (ORs) and frequencies of single-nucleotide polymorphisms (SNPs) obtained from genome-wide association studies (GWASs).