{"id":"W4381189914","doi":"10.1016/j.xgen.2023.100345","title":"Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries","year":2023,"lang":"en","type":"article","venue":"Cell Genomics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Faculté de médecine et des sciences de la santé, Université de Sherbrooke; Fakultet for medisin og helsevitenskap, Norges Teknisk-Naturvitenskapelige Universitet; Medical School, University of Michigan; Norwegian Institute of Public Health; National Institutes of Health; Taiwan Biobank; Norges Forskningsråd; St. Olavs Hospital Universitetssykehuset i Trondheim; Helse Midt-Norge; School of Public Health, University of Michigan; Stiftelsen Kristian Gerhard Jebsen; Norges Teknisk-Naturvitenskapelige Universitet; Biomet; QIMR Berghofer Medical Research Institute; Faculty of Medicine and Health, University of Sydney; University of California, Los Angeles; University of Michigan","keywords":"Biobank; Genome-wide association study; Stroke (engine); Locus (genetics); Genetic heterogeneity; Genetics; Meta-analysis; Biology; Genetic association; Ischemic stroke; Medicine; Genotype; Bioinformatics; Internal medicine; Single-nucleotide polymorphism; Gene; Ischemia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009081038,0.001905638,0.003979139,0.00305562,0.001010356,0.002684429,0.001248696,0.001316384,0.002259772],"category_scores_gemma":[0.01394126,0.0008750933,0.0173739,0.00426374,0.0005612923,0.0007777149,0.001521651,0.001454973,0.0002624697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000590952,"about_ca_system_score_gemma":0.0007825851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005286088,"about_ca_topic_score_gemma":0.008506576,"domain_scores_codex":[0.9934662,0.003360806,0.0006568317,0.001592943,0.000503376,0.0004198626],"domain_scores_gemma":[0.9904952,0.005753177,0.0009142555,0.002179023,0.0003654928,0.0002928608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.006249225,0.00005823058,0.4189088,0.002393358,0.5464011,0.0008071088,0.0001634401,0.002536456,0.003656589,0.0004585469,0.001665288,0.01670173],"study_design_scores_gemma":[0.0009142616,0.0006061271,0.3758032,0.000503777,0.6103469,0.0008653405,0.0001921462,0.004061023,0.001496067,0.001881746,0.003271111,0.00005826208],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7994144,0.1708699,0.01760528,0.00199213,0.0004578679,0.0001233255,0.00662806,0.0005646528,0.002344292],"genre_scores_gemma":[0.9869794,0.007898312,0.002678906,0.0003240621,0.00009957851,0.0000685116,0.001567918,0.00007867548,0.0003047698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009081038,"threshold_uncertainty_score":0.04802567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07122488923414759,"score_gpt":0.3282400453371729,"score_spread":0.2570151561030253,"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."}}