{"id":"W2943196289","doi":"10.1101/618470","title":"Accurate ethnicity prediction from placental DNA methylation data","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; BC Children's Hospital; Canada Research Chairs; University of British Columbia","funders":"National Institutes of Health","keywords":"Population stratification; Confounding; Ancestry-informative marker; Single-nucleotide polymorphism; Biology; SNP; Population; Ethnic group; DNA methylation; Genetics; Genetic association; Genetic genealogy; Evolutionary biology; Bioinformatics; Demography; Gene; Medicine; Genotype; Internal medicine; Gene expression","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":[],"consensus_categories":[],"category_scores_codex":[0.002126171,0.0004898648,0.0005043788,0.00141803,0.0003412915,0.0009268629,0.000450776,0.0004310669,0.001338467],"category_scores_gemma":[0.007624889,0.0002035946,0.000406286,0.0006244765,0.0001788265,0.0003799729,0.0009255229,0.0004819324,0.0006183844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003626914,"about_ca_system_score_gemma":0.0003648243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004907748,"about_ca_topic_score_gemma":0.007109345,"domain_scores_codex":[0.9991602,0.0003153845,0.00005212161,0.0002743047,0.0001375675,0.00006046702],"domain_scores_gemma":[0.9972938,0.001389407,0.0004134826,0.0003170369,0.0004797786,0.0001064078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004041182,0.00003844778,0.8839176,0.000070984,0.0002573656,0.0002676258,0.0001408479,0.01131113,0.01510044,0.0003841346,0.002965961,0.08514129],"study_design_scores_gemma":[0.00004760452,0.0001406931,0.5500804,0.00008066855,0.0002624794,0.001026838,0.0004464461,0.4064272,0.03104498,0.003514919,0.006871894,0.00005592903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.906558,0.0005726388,0.08355827,0.0002410861,0.00004796109,0.00007378505,0.004998757,0.0009042193,0.003045305],"genre_scores_gemma":[0.9731361,0.0001298093,0.02262025,0.00008546194,0.00002688482,0.00004127435,0.003086937,0.00005459474,0.0008186803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004907748,"threshold_uncertainty_score":0.01124442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02997827180815481,"score_gpt":0.2621089302543777,"score_spread":0.2321306584462229,"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."}}