{"id":"W4283641812","doi":"10.3390/metabo12070596","title":"Genetic Architecture of Untargeted Lipidomics in Cardiometabolic-Disease Patients Combines Strong Polygenic Control and Pleiotropy","year":2022,"lang":"en","type":"article","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Lipidomics; Lipidome; Biology; Genome-wide association study; Genetic architecture; Pleiotropy; Single-nucleotide polymorphism; Quantitative trait locus; Genetics; Phenotype; Metabolome; Genetic association; Computational biology; Lipid metabolism; Metabolomics; Gene; Bioinformatics; Genotype; Biochemistry","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":[0.0008760168,0.0006942847,0.0005686946,0.001355613,0.0004710376,0.000625538,0.000315069,0.000545723,0.001753783],"category_scores_gemma":[0.001525149,0.0003077542,0.0004218099,0.001082163,0.0005249403,0.000264528,0.000632239,0.0005183739,0.0001866554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001609902,"about_ca_system_score_gemma":0.0001723029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000751812,"about_ca_topic_score_gemma":0.001082201,"domain_scores_codex":[0.9988979,0.0003981667,0.00009390929,0.0003495235,0.000167594,0.00009292299],"domain_scores_gemma":[0.9989817,0.0003819898,0.000356306,0.0001415734,0.00004903567,0.00008943929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002058461,0.0001866245,0.8495456,0.00004912967,0.0006291279,0.002983613,0.0004158761,0.001068351,0.1320836,0.0005959353,0.0001324007,0.01025142],"study_design_scores_gemma":[0.00003072638,0.0001754983,0.9914495,0.000005949155,0.0001524993,0.001840863,0.00008141468,0.001948292,0.00366717,0.0005055762,0.0001264874,0.00001600226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988465,0.00008957383,0.0007775385,0.00003288043,0.000002383147,0.000003588004,0.00008734412,0.00001127639,0.0001488808],"genre_scores_gemma":[0.9994346,0.00002455911,0.0003596942,0.00001515722,0.000004365683,0.000003261209,0.0000725915,0.000006450529,0.00007928375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001753783,"threshold_uncertainty_score":0.005866945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003582800822961716,"score_gpt":0.2000802492866823,"score_spread":0.1964974484637206,"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."}}