{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001900157,0.0002421289,0.0005377057,0.0002282196,0.0001211027,0.00001489936,0.0002266229,0.00004554275,0.0000289889],"category_scores_gemma":[0.0001553473,0.0002332765,0.0001571142,0.0003418545,0.0001116828,0.000003847015,0.0003391434,0.0001512845,4.741948e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001322566,"about_ca_system_score_gemma":0.00006275395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007734893,"about_ca_topic_score_gemma":0.00001902284,"domain_scores_codex":[0.998351,0.0002332446,0.0003884925,0.000429506,0.0002396162,0.0003581157],"domain_scores_gemma":[0.9992527,0.00002911422,0.0001604237,0.0003609983,0.00007650118,0.0001202969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006316715,0.0002897144,0.7717342,0.00004543681,0.0003586375,0.000002649653,0.0001024303,0.001043962,0.2221061,0.001140387,0.0001474605,0.002397275],"study_design_scores_gemma":[0.004250268,0.0002426061,0.9642009,0.000003082032,0.0001846144,0.000002666903,0.0001333863,0.0001352881,0.00479555,0.000425365,0.02530673,0.0003195899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541138,0.04438448,0.0001752923,0.00008218749,0.000258321,0.0003771626,0.0005434988,0.000007898559,0.00005740082],"genre_scores_gemma":[0.9973447,0.001240758,0.0007985755,0.0001637689,0.000135241,0.00009688304,0.0001259479,0.00003082386,0.00006327209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2173106,"threshold_uncertainty_score":0.9512738,"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."}}