{"id":"W2557073269","doi":"10.1186/s12919-016-0041-x","title":"Identity-by-descent mapping for diastolic blood pressure in unrelated Mexican Americans","year":2016,"lang":"en","type":"article","venue":"BMC Proceedings","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; George & Fay Yee Centre for Healthcare Innovation; University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"National Institute of General Medical Sciences; University of Manitoba","keywords":"Identity by descent; Genetics; Genetic association; Population; Genome-wide association study; 1000 Genomes Project; Chromosome; Genetic linkage; Allele; Whole genome sequencing; Biology; Genome; Medicine; Gene; Computational biology; Single-nucleotide polymorphism; Haplotype; Genotype","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009035286,0.0002087256,0.0002179069,0.0009716256,0.0005865741,0.0002748747,0.0002737525,0.0003496358,0.0008715583],"category_scores_gemma":[0.001759743,0.0001704583,0.0004194209,0.0007092265,0.000211076,0.00007093358,0.000289416,0.0003159483,0.00008975369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643205,"about_ca_system_score_gemma":0.0001836159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005177286,"about_ca_topic_score_gemma":0.004095181,"domain_scores_codex":[0.9996198,0.0001483087,0.00002389893,0.0001186552,0.00005080544,0.0000384781],"domain_scores_gemma":[0.9996196,0.0001732153,0.00007502434,0.00005790846,0.00003416648,0.00003997575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001625989,0.0004393741,0.8393771,0.00005400793,0.0002768675,0.002334826,0.002222251,0.0009686393,0.1130349,0.0007075989,0.0002489595,0.03870939],"study_design_scores_gemma":[0.00006387166,0.0003913311,0.9910117,0.00000851019,0.0001148445,0.001195005,0.0003298867,0.002984914,0.002918445,0.0001768274,0.0007905951,0.00001403806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982111,0.00003641287,0.001480011,0.00001664113,0.000002421524,0.00001811779,0.00006083626,0.000007002915,0.0001674665],"genre_scores_gemma":[0.9968451,0.00007010825,0.002714642,0.00002076889,0.000004191678,0.00002875615,0.0001377802,0.000005841242,0.0001727849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005177286,"threshold_uncertainty_score":0.01029432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981050726004482,"score_gpt":0.2694515316433226,"score_spread":0.2496410243832778,"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."}}