<ul><li>With the advancement of high-throughput genotyping and sequencing technologies, a need arises to evaluate the role of genetic predictors in disease prediction.</li><li>A multi-marker predictiveness curve is proposed to measure the combined effects of multiple genetic variants in risk prediction models for complex diseases.</li><li>The predictiveness curve is connected with the ROC curve and Lorenz curve.</li><li>The predictiveness U is introduced as a summary index to evaluate the predictive ability of risk prediction models, and it outperformed other summary indices in terms of unbiasedness and robustness.</li></ul>

A multi-locus predictiveness curve and its summary assessment for genetic risk prediction

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