{"id":"W3049006161","doi":"10.1101/2020.08.14.239871","title":"A combined proteomics and Mendelian randomization approach to investigate the effects of aspirin-targeted proteins on colorectal cancer","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital; Memorial University of Newfoundland","funders":"Ontario Ministry of Research and Innovation; Medicinska fakulteten, Umeå Universitet; Medical Research Council; Canadian Institutes of Health Research; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse; Cancerfonden; Cancer Research Foundation in Northern Sweden; University of Bristol; Umeå Universitet; National Institute for Health and Care Research; Génome Québec; Bowel Cancer UK; Wellcome Trust; National Cancer Institute; Pelotonia; McGill University; Division of Cancer Prevention, National Cancer Institute; University of Cambridge; Cancer Research UK; Canadian Cancer Society Research Institute; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Mendelian randomization; Colorectal cancer; Stable isotope labeling by amino acids in cell culture; Biology; Quantitative proteomics; Oncology; Cancer research; Medicine; Expression quantitative trait loci; Proteomics; Cancer; Internal medicine; Bioinformatics; Genetics; Gene; Single-nucleotide polymorphism; 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":[0.008487205,0.0006816199,0.001196564,0.002115035,0.0003185694,0.0005866974,0.0006466734,0.0006266264,0.002377085],"category_scores_gemma":[0.008610816,0.000346511,0.001477243,0.001648123,0.0005095753,0.0004040968,0.0006004311,0.0005620642,0.0002041218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004037476,"about_ca_system_score_gemma":0.0005960532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259635,"about_ca_topic_score_gemma":0.0009156361,"domain_scores_codex":[0.9904158,0.006476318,0.0002801008,0.00173753,0.0008945842,0.0001956769],"domain_scores_gemma":[0.9942883,0.003692524,0.0009250164,0.0007616449,0.000190662,0.0001417447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01522588,0.0008798808,0.4325539,0.001416852,0.01516654,0.003530415,0.000477942,0.01429635,0.3044381,0.01149924,0.001886488,0.1986284],"study_design_scores_gemma":[0.001333135,0.01224889,0.685947,0.00008086146,0.0081678,0.007567987,0.0002617756,0.2003672,0.05690283,0.01669595,0.01014611,0.0002804532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7599035,0.001920867,0.2332479,0.0004157756,0.0001288644,0.0006119137,0.001548172,0.0008298072,0.001393127],"genre_scores_gemma":[0.9154189,0.0002783682,0.08248955,0.0002100086,0.00005383645,0.0004050251,0.0003575423,0.00007013111,0.0007165957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008487205,"threshold_uncertainty_score":0.04488522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046259999629523,"score_gpt":0.2182597732766059,"score_spread":0.2077971732803107,"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."}}