Article

A Prism Vote Framework for Individualized Risk Prediction of Traits in Genome-wide Sequencing Data of Multiple Populations

2022-02-04

Abstract excerpt

Multi-population cohorts offer unprecedented opportunities for profiling disease risk in large samples, however, heterogeneous risk effects underlying complex traits across populations make integrative prediction challenging. In this study, we propose a novel Bayesian probability framework, the Prism Vote (PV), to construct risk predictions in heterogeneous genetic data. The PV views the trait of an individual as...

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Literature Corpus work: 4000cad9-b4c9-500c-8e63-7fafa50f6949
DOI: 10.1101/2022.02.02.478767

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