{"id":"W2119279196","doi":"10.1038/nature06258","title":"A second generation human haplotype map of over 3.1 million SNPs","year":2007,"lang":"en","type":"article","venue":"Nature","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4585,"is_retracted":false,"has_abstract":false,"ca_institutions":"Genome Canada; McGill University and Génome Québec Innovation Centre; Ontario Institute for Cancer Research; Université de Montréal; McGill University","funders":"National Institute of Biomedical Imaging and Bioengineering; 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 Center for Research Resources; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Institute of Mental Health; National Cancer Institute; National Eye Institute; National Institute on Alcohol Abuse and Alcoholism; W. M. Keck Foundation; National Institute on Deafness and Other Communication Disorders; National Institute on Drug Abuse; Engineering and Physical Sciences Research Council; National Institutes of Health; Ministry of Education, Culture, Sports, Science and Technology; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China; Beijing Normal University; Chinese Academy of Sciences; University Grants Committee; National Institute on Aging; Innovation and Technology Commission; National Human Genome Research Institute; Wellcome Trust; Genome Canada","keywords":"International HapMap Project; Linkage disequilibrium; Single-nucleotide polymorphism; Imputation (statistics); Biology; Genetics; Haplotype; Genetic association; Genotyping; Population; Tag SNP; Evolutionary biology; SNP genotyping; Allele; Gene; Genotype; Missing data; Statistics; Mathematics; Demography","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":[0.0004349781,0.000370218,0.0007507374,0.00204687,0.0006681081,0.0007942372,0.0003988278,0.0007573568,0.01287979],"category_scores_gemma":[0.001649077,0.0004874285,0.0007993147,0.003364834,0.000153367,0.0003597937,0.0005331287,0.0007589456,0.002901212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003552648,"about_ca_system_score_gemma":0.001090814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01336016,"about_ca_topic_score_gemma":0.01916374,"domain_scores_codex":[0.99976,0.0000404412,0.00001190847,0.0001041235,0.00005086628,0.00003267547],"domain_scores_gemma":[0.9993275,0.0002367149,0.00006950749,0.0001353148,0.0001131387,0.0001178814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004618897,0.0007668504,0.2142385,0.001742913,0.003049863,0.01060651,0.004984873,0.01349164,0.1878371,0.01437091,0.1698596,0.3744323],"study_design_scores_gemma":[0.0009025955,0.0003235666,0.7927989,0.0002194041,0.001056727,0.005343579,0.0004130004,0.006621215,0.007454922,0.01103383,0.1736958,0.0001364181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7335447,0.002434516,0.04683404,0.001811993,0.0003147683,0.0003719242,0.1987451,0.001318253,0.01462479],"genre_scores_gemma":[0.7407974,0.001590416,0.04298044,0.0009833386,0.0002957912,0.0006253187,0.1918659,0.0002404314,0.0206211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01336016,"threshold_uncertainty_score":0.04308718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009727018190989775,"score_gpt":0.288781372112382,"score_spread":0.2790543539213923,"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."}}