{"id":"W4381547368","doi":"10.1016/j.xcrm.2023.101085","title":"Integrating genetics and metabolomics from multi-ethnic and multi-fluid data reveals putative mechanisms for age-related macular degeneration","year":2023,"lang":"en","type":"article","venue":"Cell Reports Medicine","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Institute of Dental and Craniofacial Research; National Institute of Environmental Health Sciences; National Institute of Neurological Disorders and Stroke; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Deafness and Other Communication Disorders; National Cancer Institute; Génome Québec; National Eye Institute; National Heart, Lung, and Blood Institute; Fundação para a Ciência e a Tecnologia; Fonds de Recherche du Québec - Santé; National Institutes of Health; Public Health Agency; European Commission; King's College London; Jewish General Hospital; National Institute for Health and Care Research; Cancer Research UK; Wellcome Trust; Hope Foundation; Canada Foundation for Innovation; Canadian Institutes of Health Research; Compute Canada; National Health and Medical Research Council; Public Health Agency of Canada; National Institute on Minority Health and Health Disparities; McGill University; Medical Research Council; Biogen","keywords":"Mendelian randomization; Macular degeneration; Metabolomics; Metabolome; Biology; Genetic association; Genetics; Genome-wide association study; Metabolite; Computational biology; Bioinformatics; Gene; Medicine; Genotype; Genetic variants; Single-nucleotide polymorphism; Biochemistry","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":[0.002608764,0.0005142934,0.0006338004,0.002329895,0.0004775704,0.001161603,0.0003058512,0.0005051632,0.001176667],"category_scores_gemma":[0.005635674,0.0002412298,0.0009849243,0.002347487,0.0004360114,0.000531533,0.001322645,0.0004381422,0.0001562417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002259356,"about_ca_system_score_gemma":0.000463021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002614843,"about_ca_topic_score_gemma":0.003734623,"domain_scores_codex":[0.9984616,0.0008027275,0.0001171468,0.0003364166,0.0001943531,0.00008775415],"domain_scores_gemma":[0.9973248,0.001047476,0.0008408786,0.0004854186,0.0001587346,0.0001426208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009019729,0.0001384198,0.922563,0.0001730662,0.002784904,0.0005045315,0.0002187515,0.001718035,0.0393727,0.0006763016,0.0002675825,0.03068072],"study_design_scores_gemma":[0.00004636807,0.0003103396,0.9838511,0.00003464693,0.001169408,0.0008063131,0.0002645903,0.004310682,0.004979554,0.003038083,0.001154079,0.00003487075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895492,0.001513454,0.007094107,0.0002275636,0.00001308338,0.0000256084,0.0008966654,0.00006258769,0.0006178173],"genre_scores_gemma":[0.9937983,0.0004089661,0.005080946,0.00007896221,0.00001400207,0.00001595065,0.0004520919,0.00001516766,0.0001356551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002614843,"threshold_uncertainty_score":0.01379663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000106933722345,"score_gpt":0.3650893694444244,"score_spread":0.2650786760721898,"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."}}