{"id":"W4221066745","doi":"10.1016/j.xhgg.2022.100091","title":"Stability of polygenic scores across discovery genome-wide association studies","year":2022,"lang":"en","type":"article","venue":"Human Genetics and Genomics Advances","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Children's Hospital of Philadelphia; National Institute on Drug Abuse; National Institute of Mental Health; University of Pennsylvania; National Institutes of Health","keywords":"Genome-wide association study; Biobank; Population; Genetic association; Trait; Percentile; Biology; Genetics; Medicine; Demography; Single-nucleotide polymorphism; Statistics; Genotype; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0324204,0.0006247581,0.001220059,0.004843364,0.001283169,0.002877307,0.001148815,0.0008947733,0.001616031],"category_scores_gemma":[0.09503638,0.0004985717,0.001708417,0.006483135,0.001697937,0.001597463,0.002636743,0.001557064,0.0003386548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005852738,"about_ca_system_score_gemma":0.0005981432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002380149,"about_ca_topic_score_gemma":0.002268269,"domain_scores_codex":[0.971683,0.01317665,0.002413676,0.008977799,0.002783614,0.0009653139],"domain_scores_gemma":[0.8800943,0.08184902,0.01250386,0.01856852,0.005324705,0.001659734],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006151412,0.00002436362,0.9646659,0.0001284186,0.005876269,0.0004002854,0.0006793109,0.00256231,0.003515642,0.001489181,0.000735729,0.01930753],"study_design_scores_gemma":[0.00004166855,0.0001569669,0.9848477,0.00004633237,0.001038318,0.0006344071,0.000239025,0.005473398,0.0008157781,0.00503824,0.001618848,0.00004927871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947832,0.004098904,0.04254793,0.0004936968,0.0001294258,0.00007406006,0.002315198,0.0003849996,0.002123786],"genre_scores_gemma":[0.993125,0.0002394137,0.004187932,0.0001550494,0.00006055868,0.0000546995,0.001932867,0.00007119012,0.0001732828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9675796,"threshold_uncertainty_score":0.1714575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246942477278265,"score_gpt":0.3072403538678668,"score_spread":0.2847709290950842,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}