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The success of genome-wide association studies (GWASs) has led to increasing interest in making predictions of complex trait phenotypes, including disease, from genotype data. Rigorous assessment of the value of predictors is crucial before implementation. Here we discuss some of the limitations and pitfalls of prediction analysis and show how naive implementations can lead to severe bias and misinterpretation of results.

Original publication

DOI

10.1038/nrg3457

Type

Journal article

Journal

Nature reviews. Genetics

Publication Date

07/2013

Volume

14

Pages

507 - 515

Addresses

Queensland Brain Institute, The University of Queensland, QBI Building, St Lucia, Queensland 4071, Australia.

Keywords

Humans, Genetic Markers, Models, Statistical, Risk, Reproducibility of Results, Genomics, Genotype, Phenotype, Polymorphism, Single Nucleotide, Models, Genetic, Genetic Variation, Genome-Wide Association Study