{"id":"W2024642024","doi":"10.1038/ng1770","title":"Magnitude and distribution of linkage disequilibrium in population isolates and implications for genome-wide association studies","year":2006,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":280,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Eye Institute; Wellcome Trust","keywords":"Biology; Linkage disequilibrium; Genetics; Genome-wide association study; Genetic association; Linkage (software); Genome; Population; Association mapping; Tag SNP; Population genetics; Evolutionary biology; Single-nucleotide polymorphism; Allele; Haplotype; Genotype; Gene; Demography","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":[0.0002662773,0.00009684068,0.0001703101,0.00003338318,0.00005560491,0.000008336893,0.00004657367,0.0003438212,2.723646e-7],"category_scores_gemma":[0.0008240796,0.00009796145,0.00002937654,0.00007446481,0.00003226113,0.000003031,0.00005465493,0.00008158955,9.46214e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004221738,"about_ca_system_score_gemma":0.00001520612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000165403,"about_ca_topic_score_gemma":0.0001874562,"domain_scores_codex":[0.9992631,0.00004494891,0.0002749809,0.0002219885,0.00003458661,0.000160394],"domain_scores_gemma":[0.9993375,0.0001649555,0.0001828527,0.0001167095,0.0001758515,0.00002215472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001005213,0.00002227176,0.9870811,0.0000285384,0.0000278373,1.884858e-8,0.00001531411,0.0001501045,0.01157588,0.00008914337,0.0006802373,0.000319517],"study_design_scores_gemma":[0.0003340323,0.00009395225,0.9917943,0.000005284001,0.00003576314,6.595095e-7,0.00001673317,0.0001259315,0.0006064345,0.004616866,0.002276097,0.00009395791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829271,0.0145837,0.0006586677,0.001298342,0.00005708737,0.0002592747,0.0001935757,0.000004480146,0.00001779576],"genre_scores_gemma":[0.9945732,0.002012134,0.00174072,0.0001184393,0.0001179392,0.00003163403,0.001308876,0.000009503015,0.00008753497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01257156,"threshold_uncertainty_score":0.3994752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008566506886951802,"score_gpt":0.2845694074575592,"score_spread":0.2760029005706074,"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."}}