Beyond odds ratios - Communicating disease risk based on genetic profiles

Peter Kraft; Sholom Wacholder; Marilyn C. Cornelis; Frank B. Hu; Richard B. Hayes; Gilles Thomas; Robert Hoover; David J. Hunter; Stephen Chanock

doi:10.1038/nrg2516

Beyond odds ratios - Communicating disease risk based on genetic profiles

Peter Kraft, Sholom Wacholder, Marilyn C. Cornelis, Frank B. Hu, Richard B. Hayes, Gilles Thomas, Robert Hoover, David J. Hunter, Stephen Chanock

Research output: Contribution to journal › Review article › peer-review

121 Scopus citations

Abstract

The brisk discovery of novel inherited disease markers by genome-wide association (GWA) studies has raised expectations for predicting disease risk by analysing multiple common alleles. However, the statistics used during the discovery phase of research (such as odds ratios or p values for association) are not the most appropriate measures for evaluating the predictive value of genetic profiles. We argue that other measures - such as sensitivity, specificity, and positive and negative predictive values - are more useful when proposing a genetic profile for risk prediction.

Original language	English (US)
Pages (from-to)	264-269
Number of pages	6
Journal	Nature Reviews Genetics
Volume	10
Issue number	4
DOIs	https://doi.org/10.1038/nrg2516
State	Published - Apr 2009
Externally published	Yes

ASJC Scopus subject areas

Molecular Biology
Genetics
Genetics(clinical)

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10.1038/nrg2516

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AU - Hayes, Richard B.

AU - Thomas, Gilles

AU - Hoover, Robert

AU - Hunter, David J.

AU - Chanock, Stephen

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AB - The brisk discovery of novel inherited disease markers by genome-wide association (GWA) studies has raised expectations for predicting disease risk by analysing multiple common alleles. However, the statistics used during the discovery phase of research (such as odds ratios or p values for association) are not the most appropriate measures for evaluating the predictive value of genetic profiles. We argue that other measures - such as sensitivity, specificity, and positive and negative predictive values - are more useful when proposing a genetic profile for risk prediction.

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Beyond odds ratios - Communicating disease risk based on genetic profiles

Abstract

ASJC Scopus subject areas

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