{"id":"W2069667220","doi":"10.1038/sj.clpt.6100135","title":"Using HapMap Tools in Pharmacogenomic Discovery: The Thiopurine Methyltransferase Polymorphism","year":2007,"lang":"en","type":"article","venue":"Clinical Pharmacology & Therapeutics","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institute of General Medical Sciences; American Lebanese Syrian Associated Charities; McGill University","keywords":"International HapMap Project; Thiopurine methyltransferase; Pharmacogenomics; Single-nucleotide polymorphism; Haplotype; Pharmacogenetics; Linkage disequilibrium; SNP; Biology; Genetics; 1000 Genomes Project; Candidate gene; Genotyping; SNP genotyping; Imputation (statistics); Computational biology; Gene; Allele; Genotype; Medicine; Internal medicine; Computer science; Azathioprine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003802632,0.000369227,0.0007598024,0.0002329885,0.000177495,0.00004540164,0.0005763703,0.0003840833,0.0003915173],"category_scores_gemma":[0.00008428728,0.0002559289,0.0003645145,0.0006017651,0.001099213,0.0002091087,0.0001896712,0.001876765,0.0001055577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000695703,"about_ca_system_score_gemma":0.001004628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005720759,"about_ca_topic_score_gemma":0.0000138493,"domain_scores_codex":[0.9958846,0.0006391549,0.001313846,0.0006195748,0.0004747253,0.001068106],"domain_scores_gemma":[0.9947614,0.004097125,0.0001639052,0.0004865063,0.000134472,0.0003565721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01101893,0.002611578,0.04983836,0.00008372504,0.002594733,0.002449921,0.0006338365,0.0001353875,0.8994344,0.0001541681,0.003748371,0.02729653],"study_design_scores_gemma":[0.1035662,0.003447306,0.1819286,0.0002463453,0.01131487,0.002038309,0.0009296767,0.04053856,0.4985179,0.0009302893,0.154325,0.00221705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717618,0.001649987,0.006702475,0.01611147,0.001808083,0.001262511,0.00002511172,0.00007914074,0.0005994867],"genre_scores_gemma":[0.9043999,0.001558303,0.001024136,0.09077323,0.001650168,0.00002175053,0.00001537199,0.00008103671,0.0004760455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4009166,"threshold_uncertainty_score":0.9999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.235715593926217,"score_gpt":0.496782670510655,"score_spread":0.261067076584438,"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."}}