Selecting variants of unknown significance through network-based gene-association significantly improves risk prediction for disease-control cohorts.

Odds ratio analysis is often followed by polygenic risk score prediction performed by pooling highly significant variants and assessing risk model performance on patient-control cohorts 9 , 10 .

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