{"id":"W1940833630","doi":"10.1038/srep10442","title":"A new GWAS and meta-analysis with 1000Genomes imputation identifies novel risk variants for colorectal cancer","year":2015,"lang":"en","type":"erratum","venue":"Scientific Reports","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Tenovus; National Cancer Institute; Cancer Research Wales; Cancer Research UK; Wellcome Trust; Medical Research Council; National Institute for Social Care and Health Research","keywords":"Genome-wide association study; Imputation (statistics); Genetic association; Minor allele frequency; Biology; Odds ratio; Genetics; Colorectal cancer; Linkage disequilibrium; 1000 Genomes Project; Meta-analysis; Allele; Expression quantitative trait loci; Single-nucleotide polymorphism; Computational biology; Genotype; Medicine; Gene; Cancer; Internal medicine; Missing data; 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":[],"consensus_categories":[],"category_scores_codex":[0.01086121,0.002164723,0.00524775,0.003594309,0.001040547,0.003126471,0.002258545,0.001633985,0.004905913],"category_scores_gemma":[0.02039709,0.001249612,0.01855653,0.006324416,0.0003621201,0.001626525,0.002300072,0.002403108,0.0009508948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009283013,"about_ca_system_score_gemma":0.001854696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007975826,"about_ca_topic_score_gemma":0.01388965,"domain_scores_codex":[0.9933813,0.002904116,0.0006521065,0.001947911,0.0007038362,0.0004106417],"domain_scores_gemma":[0.9922706,0.004249649,0.0006156011,0.002013785,0.0005947624,0.0002556797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.01127964,0.0002654781,0.3191916,0.005943415,0.4858002,0.001997646,0.0002939326,0.01344321,0.005903201,0.001654031,0.02635158,0.1278761],"study_design_scores_gemma":[0.005726502,0.001423264,0.3201578,0.001076867,0.571427,0.003165168,0.0002768691,0.05389226,0.00246871,0.009799578,0.03030555,0.0002804038],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5234333,0.2464319,0.1564247,0.009362481,0.002549656,0.0004473079,0.05185987,0.005547451,0.003943387],"genre_scores_gemma":[0.8899606,0.02020618,0.05317665,0.002001351,0.000874501,0.0005391835,0.02966459,0.0009906857,0.002586296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01086121,"threshold_uncertainty_score":0.05744022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04691673930775622,"score_gpt":0.3200340184209517,"score_spread":0.2731172791131956,"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."}}