{"id":"W4225990609","doi":"10.1093/hmg/ddac011","title":"Transcriptome-wide association study in UK Biobank Europeans identifies associations with blood cell traits","year":2022,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"National Human Genome Research Institute; National Heart, Lung, and Blood Institute; National Science Foundation of Sri Lanka; Brain and Behavior Research Foundation; National Cancer Institute; National Science Foundation; National Institutes of Health; National Institute of Mental Health; Office of Research and Development","keywords":"Genome-wide association study; Biology; Biobank; Bonferroni correction; Genetic association; Quantitative trait locus; Transcriptome; Genetics; Trait; Gene; Expression quantitative trait loci; Single-nucleotide polymorphism; Genotype; Gene expression","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":[0.001330162,0.0002385385,0.0004266249,0.0007581023,0.0005581205,0.000713505,0.0003204706,0.0005450023,0.003026534],"category_scores_gemma":[0.004596481,0.0002224113,0.0003260554,0.002015097,0.0003599384,0.0002643873,0.0007258761,0.0003488448,0.0004716509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003408936,"about_ca_system_score_gemma":0.0002494638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198079,"about_ca_topic_score_gemma":0.01631192,"domain_scores_codex":[0.998796,0.0004085408,0.0001127977,0.000429817,0.0001250529,0.0001278418],"domain_scores_gemma":[0.9982982,0.0006116399,0.0005027953,0.0003262837,0.0001365714,0.0001243929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000995964,0.0000550061,0.9743388,0.00008982691,0.0003509308,0.0005748228,0.0008026807,0.0003342657,0.01200264,0.0003450781,0.001957415,0.008152577],"study_design_scores_gemma":[0.00003526503,0.00004000963,0.9975836,0.00001542637,0.00006060547,0.0002851317,0.0001404719,0.0003095376,0.0004520569,0.00009380817,0.0009778487,0.000006275802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961795,0.0002147629,0.0007621764,0.00008337156,0.000005726703,0.00001162066,0.002305932,0.00001400372,0.0004229686],"genre_scores_gemma":[0.9955355,0.0001511054,0.0009328348,0.000114406,0.000007846406,0.00003187811,0.002780881,0.00001239943,0.0004331902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01198079,"threshold_uncertainty_score":0.02382213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337418615609358,"score_gpt":0.2483477797876902,"score_spread":0.2349735936315966,"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."}}