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oai:figshare.com:article/33976980 2026-09-23T17:50:58Z category_13 category_24 category_734 category_811 category_106 category_132 portal_5 item_type_3 month_year_09_2026

<p>Test set predictive performance of five PRS methods for each phenotype. For Height and BMI, the metric is <i>R</i>²; for asthma and CHD, the metric is AUC. UniLasso with external scores is denoted as uniLasso ES. PRS-CS is a Bayesian polygenic prediction method, while lassosum2 is a summary-statistics-based regression approach.</p> Joshua Richland (25099428) Tuomo Kiiskinen (8704011) William Wang (5811092) Wenhui Sophia Lu (25099431) Balasubramanian Narasimhan (6444833) Trevor Hastie (195) Manuel Rivas (268944) Robert Tibshirani (196) Genetics Evolutionary Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Science Policy Infectious Diseases stabilize feature selection regression toward variants level target data informing penalty weights guided sparse regression based repository comprising external statistics guide external scores ). recently introduced univariate leverages univariate coefficients prs estimation methods signals guide unilasso ). yielding sparser xlink "> united kingdom standard lasso sign constraints results demonstrate remains competitive prior evidence interpretable models empirical advantages <p>Test set predictive performance of five PRS methods for each phenotype. For Height and BMI, the metric is <i>R</i>²; for asthma and CHD, the metric is AUC. UniLasso with external scores is denoted as uniLasso ES. PRS-CS is a Bayesian polygenic prediction method, while lassosum2 is a summary-statistics-based regression approach.</p> 2026-09-23T17:43:15Z Dataset Dataset 10.1371/journal.pgen.1012314.t004 https://figshare.com/articles/dataset/_p_Test_set_predictive_performance_of_five_PRS_methods_for_each_phenotype_For_Height_and_BMI_the_metric_is_i_R_i_sup_2_sup_for_asthma_and_CHD_the_metric_is_AUC_UniLasso_with_external_scores_is_denoted_as_uniLasso_ES_PRS-CS_is_a_Bayesian_pol/33976980 CC BY 4.0