{"id":"W4311458774","doi":"10.1002/ece3.9639","title":"The impact of SNP density on quantitative genetic analyses of body size traits in a wild population of Soay sheep","year":2022,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Natural Environment Research Council; Horizon 2020 Framework Programme; Wellcome Trust; Sight Research UK; Medical Research Council; Scottish Natural Heritage; Medical Research Council Canada; Cancer Research UK","keywords":"Heritability; Quantitative trait locus; Biology; Genetic architecture; Genome-wide association study; Single-nucleotide polymorphism; SNP; Genetic association; Trait; Genetics; Population; Genetic correlation; Quantitative genetics; Evolutionary biology; Genetic variation; Genotype; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004947066,0.0003478959,0.0006590936,0.0007216834,0.0006482797,0.000757298,0.0004572895,0.0005857158,0.0007010848],"category_scores_gemma":[0.009681301,0.0003858677,0.0006616552,0.0007238535,0.001177507,0.000481073,0.0008333546,0.0005759282,0.0001087685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003030029,"about_ca_system_score_gemma":0.0002787136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004031145,"about_ca_topic_score_gemma":0.01055432,"domain_scores_codex":[0.9948072,0.002913255,0.0002663486,0.001440986,0.0004251938,0.0001471113],"domain_scores_gemma":[0.9915287,0.006216235,0.0005950672,0.001076982,0.0003672729,0.0002157048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00108441,0.0001635083,0.9113951,0.0001035796,0.001514983,0.001064081,0.001624414,0.005170181,0.05948589,0.000813996,0.0001905832,0.01738933],"study_design_scores_gemma":[0.00003302954,0.0001863917,0.9869552,0.00001639369,0.0003187276,0.0004594994,0.0002380428,0.009353468,0.001484904,0.0005023297,0.0004244782,0.00002744441],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977666,0.0000742086,0.001895344,0.00002263409,0.000003535854,0.000004544268,0.000104987,0.000007541975,0.0001204459],"genre_scores_gemma":[0.9973618,0.00004324414,0.002191844,0.00002852846,0.000005461561,0.00001641904,0.0002537259,0.000009143349,0.00008973195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004947066,"threshold_uncertainty_score":0.02616292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180654518609264,"score_gpt":0.3055232826968045,"score_spread":0.2874578308358781,"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."}}