{"id":"W2780974917","doi":"10.1038/sdata.2017.179","title":"Sequence data and association statistics from 12,940 type 2 diabetes cases and controls","year":2017,"lang":"en","type":"article","venue":"Scientific Data","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University; McGill University and Génome Québec Innovation Centre","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Wellcome Trust; Steno Diabetes Center Copenhagen; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; National Institute on Aging; Novo Nordisk Fonden; National Institute of General Medical Sciences; National Institute for Health and Care Research; Medical Research Council; National Institutes of Health; Lundbeckfonden; British Heart Foundation","keywords":"Exome; Imputation (statistics); Minor allele frequency; Biology; Genetics; Genetic association; Allele frequency; Indel; Single-nucleotide polymorphism; 1000 Genomes Project; Genome-wide association study; Genotype; Genetic variation; Exome sequencing; Whole genome sequencing; Gene; Computational biology; Genome; Missing data; Phenotype; Statistics","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":[0.003897408,0.0004557983,0.000786699,0.003421322,0.0008626275,0.0007598026,0.0005819352,0.001020795,0.009764225],"category_scores_gemma":[0.01333244,0.0004516892,0.0007247498,0.004394623,0.0004187452,0.0003532899,0.0004596313,0.0008933751,0.002148944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003001433,"about_ca_system_score_gemma":0.0005588154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007564809,"about_ca_topic_score_gemma":0.004263509,"domain_scores_codex":[0.9966515,0.0006988194,0.0006375937,0.000979605,0.0008268248,0.000205772],"domain_scores_gemma":[0.9939984,0.002638082,0.0007568924,0.00130251,0.0009900111,0.0003140543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005057655,0.0004566302,0.9157488,0.0004691477,0.001395087,0.001478994,0.0008221045,0.001997486,0.007761489,0.0018103,0.0213816,0.04162056],"study_design_scores_gemma":[0.0007911287,0.0008838794,0.9207434,0.0001385578,0.0009927989,0.003971112,0.0006184912,0.003382635,0.002439574,0.002863426,0.06309513,0.00007983352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8082845,0.001849082,0.009953091,0.0004037084,0.0001663031,0.0005300072,0.1725196,0.0002310903,0.006062633],"genre_scores_gemma":[0.6948293,0.001444926,0.01027429,0.0005494143,0.0001564116,0.002305661,0.2819673,0.0002133137,0.008259386],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.009764225,"threshold_uncertainty_score":0.0326646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09003116363464679,"score_gpt":0.3437257837775208,"score_spread":0.253694620142874,"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."}}