{"id":"W3179226527","doi":"10.1186/s12864-021-07835-4","title":"Investigating the genetic architecture of disease resilience in pigs by genome-wide association studies of complete blood count traits collected from a natural disease challenge model","year":2021,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre de Développement du Porc du Québec; Agriculture and Agri-Food Canada; University of Saskatchewan; University of Alberta","funders":"Ministero dello Sviluppo Economico; University of Alberta; Swine Innovation Porc; Genome Alberta; Alberta Agriculture and Forestry; Genome Canada","keywords":"Biology; Genome-wide association study; Single-nucleotide polymorphism; Genetic architecture; Genetics; Disease; Quantitative trait locus; Candidate gene; Genetic association; Gene; Genotype; Internal medicine; Medicine","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":[0.001221001,0.0003639919,0.0003608497,0.0006490073,0.000349213,0.0003666985,0.0002667799,0.0004055038,0.001062506],"category_scores_gemma":[0.0008251604,0.0001973075,0.0005318373,0.0007453511,0.0004077155,0.0001821714,0.0004222121,0.0004841316,0.000112203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002090252,"about_ca_system_score_gemma":0.0004029161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001760784,"about_ca_topic_score_gemma":0.003246243,"domain_scores_codex":[0.9993526,0.0002071192,0.00004389092,0.0002418114,0.00007941799,0.00007516363],"domain_scores_gemma":[0.9989092,0.0003960298,0.0003879494,0.0001326808,0.00008157695,0.00009248377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001072349,0.0002260751,0.863799,0.00006037308,0.0006882958,0.0002840538,0.0002311103,0.0004341395,0.1295285,0.0001139777,0.00007655008,0.003485701],"study_design_scores_gemma":[0.00001222866,0.0004128198,0.9972561,0.000004444576,0.0001151758,0.0001587207,0.00005887913,0.0004531819,0.001354793,0.0000352847,0.0001335019,0.000004869104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989437,0.00004875836,0.000710097,0.0000119496,0.000001818919,0.000007723054,0.0001935509,0.000004135159,0.00007839011],"genre_scores_gemma":[0.9978291,0.00004152309,0.001345265,0.00002737023,0.000004124282,0.00003019443,0.0005822591,0.000005024378,0.0001350818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001760784,"threshold_uncertainty_score":0.006457329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207783993956376,"score_gpt":0.2254278152692961,"score_spread":0.2033499753297323,"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."}}