Journal article
A better coefficient of determination for genetic profile analysis.
SH Lee, ME Goddard, NR Wray, PM Visscher
Genetic Epidemiology | Published : 2012
DOI: 10.1002/gepi.21614
Abstract
Genome-wide association studies have facilitated the construction of risk predictors for disease from multiple Single Nucleotide Polymorphism markers. The ability of such "genetic profiles" to predict outcome is usually quantified in an independent data set. Coefficients of determination (R(2) ) have been a useful measure to quantify the goodness-of-fit of the genetic profile. Various pseudo-R(2) measures for binary responses have been proposed. However, there is no standard or consensus measure because the concept of residual variance is not easily defined on the observed probability scale. Unlike other nongenetic predictors such as environmental exposure, there is prior information on gene..
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Grants
Awarded by Australian National Health and Medical Research Council
Awarded by Australian Research Council
Funding Acknowledgements
We acknowledge funding from the Australian National Health and Medical Research Council (grants 613672, 613601, and 1011506) the Australian Research Council (grants DP0770096, DP1093502, and FT0991360).