Janice Aurini, Scott Davies
COVID-19 school closures and educational achievement gaps in Canada: Lessons from Ontario summer learning research
Canadian review of sociology = Revue canadienne de sociologie
recent years utility polygenic risk scores prs forecasting disease susceptibility genomewide association studies gwas results widely recognised yet models face limitations due overfitting potential overestimation effect sizes correlated variants surmount obstacles devised stacked neural network polygenic risk score snprs novel approach synthesises outputs multiple neural network models calibrated using genetic variants chosen based diverse pvalue thresholds snprs captures broader array genetic variants enabling nuanced interpretation combined effects variants assessed efficacy snprs using uk biobank data focusing genetic risks associated breast prostate cancers well quantitative traits like height bmi also extended analysis korea genome epidemiology study koges dataset impressively results indicate snprs surpasses traditional prs models isolated deep neural network terms accuracy highlighting promise refining efficacy relevance prs genetic studies