{"id":"W2550031966","doi":"10.1016/j.cell.2016.10.042","title":"The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease","year":2016,"lang":"en","type":"article","venue":"Cell","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1411,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council; National Institutes of Health; NIHR BioResource; University of Cambridge; “la Caixa” Foundation; NHS Blood and Transplant; Cambridge BHF Centre of Research Excellence; National Institute for Health and Care Research; European Hematology Association; British Heart Foundation; Wellcome Trust; Merck; NIHR Cambridge Biomedical Research Centre; European Commission; Pfizer","keywords":"Biology; Genome-wide association study; Mendelian randomization; Genetic architecture; Genetics; Genetic association; Disease; Allele; Mendelian inheritance; Quantitative trait locus; Population; Phenotype; Trait; Biobank; Single-nucleotide polymorphism; Gene; Genotype; Genetic variants; Internal medicine; Medicine","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":[0.0008946736,0.0001509338,0.0003580768,0.001266406,0.0004089752,0.0006768958,0.0002623301,0.0003000122,0.001976317],"category_scores_gemma":[0.003858749,0.0001295756,0.0002288573,0.00197405,0.0006284949,0.0002213297,0.0005806504,0.0003267366,0.0001303832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000220632,"about_ca_system_score_gemma":0.0001566035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002684075,"about_ca_topic_score_gemma":0.003158225,"domain_scores_codex":[0.9989496,0.0004444628,0.00009040692,0.000320257,0.000114326,0.00008095867],"domain_scores_gemma":[0.998066,0.001076581,0.0004366641,0.0002428439,0.00008433123,0.00009358906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006109132,0.00005986485,0.9437826,0.00004935989,0.0005736552,0.001340879,0.000611081,0.001581318,0.03255112,0.00230836,0.0003503271,0.01618058],"study_design_scores_gemma":[0.0000271953,0.00008212246,0.9923335,0.000009323632,0.0001265762,0.001344336,0.0001400372,0.001570433,0.0009248876,0.002803039,0.0006223734,0.00001622082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979365,0.0002844616,0.00104896,0.0000783257,0.000001858101,0.000004663388,0.0002951316,0.000007157149,0.0003430215],"genre_scores_gemma":[0.9991697,0.00009188888,0.000451585,0.0000333872,0.000004623066,0.000004702927,0.0001642702,0.000004516037,0.00007537424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002684075,"threshold_uncertainty_score":0.006611407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287467414488147,"score_gpt":0.2474010241401396,"score_spread":0.2345263499952581,"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."}}