{"id":"W3116604779","doi":"10.7554/elife.56029","title":"Recent shifts in the genomic ancestry of Mexican Americans may alter the genetic architecture of biomedical traits","year":2020,"lang":"en","type":"article","venue":"eLife","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"National Cancer Institute; National Human Genome Research Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Genetic architecture; Genetic genealogy; Genome-wide association study; Biology; Population; Evolutionary biology; Genetic variation; Genetic admixture; Genetic association; Mexican americans; Genotype; Demography; Genetics; Phenotype; Ethnic group; Single-nucleotide polymorphism; Gene; Sociology; Anthropology","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":[0.0005620848,0.0001375936,0.000113144,0.0004789326,0.000381883,0.0006229152,0.000178685,0.0002309564,0.001664083],"category_scores_gemma":[0.002028349,0.0001031406,0.0001683308,0.0008597533,0.0003549529,0.0002788986,0.0003433666,0.0004148214,0.0001179472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003110328,"about_ca_system_score_gemma":0.0002067053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00983683,"about_ca_topic_score_gemma":0.01888148,"domain_scores_codex":[0.9997767,0.00007739021,0.00001153431,0.00007284899,0.00003071273,0.00003077172],"domain_scores_gemma":[0.9995279,0.00008764954,0.0002418374,0.00006680755,0.00004175618,0.00003402772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001725089,0.00003967294,0.9628147,0.00003101027,0.0001335842,0.0001724587,0.0006422343,0.0002518186,0.00689069,0.001189163,0.0004421593,0.02721988],"study_design_scores_gemma":[0.000003705175,0.00002548927,0.997074,0.0000137292,0.00002948514,0.0001093679,0.0003587446,0.0001735339,0.0003778545,0.0006172367,0.0012135,0.000003427877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946336,0.0008039146,0.001416046,0.0008059501,0.0000177003,0.000006168411,0.0005206682,0.00002461672,0.001771399],"genre_scores_gemma":[0.9973381,0.0007490775,0.000888116,0.0001572142,0.00002114753,0.000005412778,0.0002815274,0.000005670406,0.0005536443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00983683,"threshold_uncertainty_score":0.01955914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02838371628495499,"score_gpt":0.2889676928845845,"score_spread":0.2605839765996295,"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."}}